Items where Author, Editor or other role is "Freitas, Alex"

A

Aniceto, Natália Luísa (2017) Machine Learning for Modelling Tissue Distribution of Drugs and the Impact of Transporters. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:66803)

Aniceto, Natália, Freitas, Alex A., Bender, Andreas, Ghafourian, Taravat (2016) A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood. Journal of Cheminformatics, 8 (1). Article Number 69. ISSN 1758-2946. (doi:10.1186/s13321-016-0182-y) (KAR id:60709)

Aniceto, Natália, Freitas, Alex A., Bender, Andreas, Ghafourian, Taravat (2016) Simultaneous prediction of four ATP-binding cassette transporters substrates using multi-label QSAR. Molecular Informatics, 35 (10). pp. 514-528. ISSN 1868-1751. (doi:10.1002/minf.201600036) (KAR id:60785)

Alves, Roberto T. and Delgado, Myriam and Freitas, Alex A. (2010) Knowledge discovery with artificial immune systems for hierarchical multi-label classification of protein functions. In: Sobrevilla, P. and Aranda, J. and Xambo, S., eds. International Conference on Fuzzy Systems. IEEE, pp. 182-196. ISBN 978-1-4244-6919-2. E-ISBN 978-1-4244-6921-5. (doi:10.1109/FUZZY.2010.5584298) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30655)

Alves, Roberto T. and Delgado, Myriam and Freitas, Alex A. (2008) Multi-label hierarchical classification of protein functions with artificial immune systems. In: Bazzan, Ana L.C. and Craven, Mark and Martins, Natalia F., eds. Advances in Bioinformatics and Computational Biology Third Brazilian Symposium on Bioinformatics. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1-12. ISBN 978-3-540-85556-9. E-ISBN 978-3-540-85557-6. (doi:10.1007/978-3-540-85557-6_1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24053)

Alves, Roberto T., Delgado, Myriam, Camargo, F., Benelli, E., Freitas, Alex A. (2007) Discovering multi-label hierarchical classification rules for protein function prediction. In: Plastino, Alexandre and de Carvalho, Andre C.P.L.F. and Ramos, R. and Junior, W.M., eds. Proc. II Workshop em Algoritmos e Aplicacoes de Mineracao de Dados (Workshop on Algorithms and Applications of Data Mining). . pp. 87-90. Sociedade Brasileira de Computacao ISBN 978-85-7669-135-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14537)

Alves, Roberto T. and Delgado, Myriam and Lopes, Heitor S. and Freitas, Alex A. (2004) Induction of fuzzy classification rules with an artificial immune system. In: Barros, A. and Araujo, A. and Yehia, H.C. and Teixeira, R., eds. Proceedings of the 8th Brazillian Symposium on Neural Networks. IEEE. ISBN 85-89029-04-2. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14055)

Alves, Roberto T. and Delgado, Myriam and Lopes, Heitor S. and Freitas, Alex A. (2004) An artificial immune system for fuzzy-rule induction in data mining. In: Yao, Xin, ed. Parallel Problem Solving from Nature - PPSN VIII 8th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1011-1020. ISBN 978-3-540-23092-2. E-ISBN 978-3-540-30217-9. (doi:10.1007/978-3-540-30217-9_102) (KAR id:14094)

Araujo, Dieferson L.A., Lopes, Heitor S., Freitas, Alex A. (2000) Rule Discovery with a Parallel Genetic Algorithm. In: Proc 2000 Genetic and Evolutionary Computation Conf Workshop Program. . pp. 89-92. , Las Vegas, USA (KAR id:22000)

Alves de Araujo, Dieferson L. and Lopes, Heitor S. and Freitas, Alex A. (1999) A Parallel Genetic Algorithm for Rule Discovery in Large Databases. In: Ilto, K., ed. 1999 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, pp. 940-945. ISBN 0-7803-5734-5. (doi:10.1109/ICSMC.1999.823354) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21764)

B

Brookhouse, James, Freitas, Alex A. (2022) Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. In: Lecture Notes in Computer Science. Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022. 13399. pp. 151-163. Springer ISBN 978-3-031-14720-3. (doi:10.1007/978-3-031-14721-0_11) (KAR id:96225)

Basgalupp, M.P., Barros, R.C., de Sá, A.G.C., Pappa, G.L., Mantovani, R.G., de Carvalho, A.C.P.L.F., Freitas, A.A. (2020) An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evolutionary Intelligence, 14 (4). pp. 1895-1914. ISSN 1864-5909. E-ISSN 1864-5917. (doi:10.1007/s12065-020-00463-z) (KAR id:82547)

Brookhouse, James (2018) Discovering Regression and Classification Rules with Monotonic Constraints Using Ant Colony Optimization. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:76774)

Barardo, Diogo G., Newby, Danielle, Thornton, Daniel, Ghafourian, Taravat, Pedro de Magalhães, João, Freitas, Alex A. (2017) Machine learning for predicting lifespan-extending chemical compounds. Aging, 9 (7). pp. 1721-1737. ISSN 1945-4589. (doi:10.18632/aging.101264) (KAR id:62389)

Basgalupp, Marcio P., Barros, Rodrigo C., de Carvalho, Andre C.P.L.F., Freitas, Alex A. (2014) Evolving Decision Trees with Beam Search-based Initialization and Lexicographic Multi-Objective Evaluation. Information Sciences, 258 (1). pp. 160-181. ISSN 0020-0255. (doi:10.1016/j.ins.2013.07.025) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37657)

Barros, R.C., Basgalupp, M.P., Freitas, Alex A., de Carvalho, A.C.P.L.F. (2013) Evolutionary design of decision-tree algorithms tailored to microarray gene expression data sets. IEEE Transactions on Evolutionary Computation, 18 (6). pp. 873-892. ISSN 1089-778X. (doi:10.1109/TEVC.2013.2291813) (KAR id:45928)

Barros, Rodrigo C. and Cerri, Ricardo and Freitas, Alex A. and de Carvalho, André C.P.L.F. (2013) Probabilistic clustering for hierarchical multi-label classification of protein functions. In: Machine Learning and Knowledge Discovery in Databases European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 385-400. ISBN 978-3-642-40990-5. E-ISBN 978-3-642-40991-2. (doi:10.1007/978-3-642-40991-2_25) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35629)

Barros, Rodrigo C., Basgalupp, Marcio P., Freitas, Alex A., de Carvalho, Andre C.P.L.F. (2013) Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evolutionary Computation, 21 (4). pp. 659-684. ISSN 1063-6560. (doi:10.1162/EVCO_a_00101) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37252)

Basgalupp, Marcio P. and Barros, Rodrigo C. and de Carvalho, Andre C.P.L.F. and Freitas, Alex A. (2012) A beam search based decision tree induction algorithm. In: Kulkarni, Sachin, ed. UNSPECIFIED IGI Global, pp. 357-370. ISBN 978-1-4666-1835-0. (doi:10.4018/978-1-4666-1833-6.ch020) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30795)

Barros, Rodrigo C. and Basgalupp, Márcio P. and de Carvalho, André C.P.L.F. and Freitas, Alex A. (2012) A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. In: Moore, Jason H. and Soule, Terence and Banzhaf, Wolfgang and Llora, Xavier and Auger, Anne and Ritchie, Marylyn and Ochoa, Gabriela and Rand, Bill and Bongard, Josh and Loiacono, Daniele and Mehnen, Joern and Davis, David, eds. Proceedings of the 14th annual conference on Genetic and evolutionary computation. ACM, New York, USA, pp. 1237-1244. ISBN 978-1-4503-1177-9. (doi:10.1145/2330163.2330335) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30803)

Barros, Rodrigo C., Basgalupp, Marcio P., de Carvalho, Andre C.P.L.F., Freitas, Alex A. (2012) A survey of evolutionary algorithms for decision-tree induction. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 42 (3). pp. 291-312. ISSN 1094-6977. (doi:10.1109/TSMCC.2011.2157494) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30817)

Barros, Rodrigo C. and Basgalupp, Márcio P. and de Carvalho, André C.P.L.F. and Freitas, Alex A. (2011) Towards the automatic design of decision tree induction algorithms. In: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. ACM, New York, USA, pp. 182-196. ISBN 978-1-4503-0690-4. (doi:10.1145/2001858.2002050) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30747)

Barros, Rodrigo C. and Basgalupp, Márcio P. and Ruiz, Duncan D. and de Carvalho, André C.P.L.F. and Freitas, Alex A. (2010) Evolutionary model tree induction. In: Shin, D., ed. SAC '10 Proceedings of the 2010 ACM Symposium on Applied Computing. SAC Symposium on Applied Computing . ACM, New York, USA, pp. 182-196. ISBN 978-1-60558-638-0. (doi:10.1145/1774088.1774327) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30687)

Basgalupp, Márcio P. and Barros, Rodrigo C. and de Carvalho, André C.P.L.F. and Freitas, Alex A. and Ruiz, Duncan D. (2009) LEGAL-Tree: a lexicographic multi-objective genetic algorithm for decision tree induction. In: Shin, S.Y. and Ossowski, S. and Martins, P. and Menezes, R. and Virol, M. and Hong, J. and Shin, D. and Palakal, M.J. and Fritzke, U. and Crosby, M. and Haddad, H.M., eds. SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing. SAC Symposium on Applied Computing . ACM, New York, USA, pp. 1085-1090. ISBN 978-1-60558-166-8. (doi:10.1145/1529282.1529521) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24075)

Basgalupp, Marcio P., de Carvalho, Andre C.P.L.F., Barros, Rodrigo C., Ruiz, Duncan D., Freitas, Alex A. (2009) Lexicographic multi-objective evolutionary induction of decision trees. International Journal of Bio-Inspired Computation, 1 (1/2). pp. 105-117. ISSN 1758-0366. (doi:10.1504/IJBIC.2009.022779) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24124)

Bevilacqua, Vitoantonio and Menolascina, Filippo and Alves, Roberto T. and Tommasi, Stefania and Mastronardi, Giuseppe and Delgado, Myriam and Paradiso, Angelo and Nicosia, Giuseppe and Freitas, Alex A. (2008) Artificial Immune Systems in Bioinformatics. In: Smolinski, Tomasz and Milanova, Mariofanna G. and Hassanien, Aboul-Ella, eds. Computational Intelligence in Biomedicine and Bioinformatics: current trends and applications. Springer, Berlin, pp. 271-296. ISBN 978-3-540-70776-9. (doi:10.1007/978-3-540-70778-3_113) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24062)

Bojarczuk, Celia C., Lopes, Heitor S., Freitas, Alex A., Michalkiewicz, Edson L. (2004) A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artificial Intelligence in Medicine, 30 (1). pp. 27-48. ISSN 0933-3657. (doi:10.1016/j.artmed.2003.06.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14220)

Bojarczuk, Celia C. and Lopes, Heitor S. and Freitas, Alex A. (2003) An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients. In: Ryan, Conor and Keijzer, Maarten and Poli, Riccardo and Soule, Terence and Tsang, Edward and Costa, Ernesto, eds. Genetic Programming 6th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 11-21. ISBN 978-3-540-00971-9. E-ISBN 978-3-540-36599-0. (doi:10.1007/3-540-36599-0_2) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13992)

Bojarczuk, Celia C., Lopes, Heitor S., Freitas, Alex A. (2001) Data Mining with Constrained-syntax Genetic Programming: Applications in Medical Data Sets. In: Proc Intelligent Data Analysis in Medicine and Pharmacology. . , London (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13556)

Bojarczuk, Celia C., Lopes, Heitor S., Freitas, Alex A. (2000) Genetic programming for knowledge discovery in chest pain diagnosis. IEEE Engineering in Medicine and Biology Magazine, 19 (4). pp. 38-44. ISSN 0739-5175. (doi:10.1109/51.853480) (KAR id:22004)

Bojarczuk, Celia C., Lopes, Heitor S., Freitas, Alex A. (1999) Discovering comprehensible classification rules using genetic programming: a case study in a medical domain. In: Banzhaf, Wolfgang and Daida, Jason and Eiben, Agoston E. and Garzon, Max H. and Honavar, Vasant and Jakiela, Mark and Smith, Robert E., eds. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99). . pp. 953-958. Morgan Kaufmann, Orlando, USA ISBN 1-55860-611-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21810)

C

Cagnini, Henry E. L., das Dores, S.C.N., Freitas, Alex A., Barros, Rodrigo C. (2023) A survey of evolutionary algorithms for supervised ensemble learning. Knowledge Engineering Review, 38 (e1). pp. 1-43. ISSN 0269-8889. E-ISSN 1469-8005. (doi:10.1017/S0269888923000024) (KAR id:100315)

Cagnini, Henry E. L. and Freitas, Alex A. and Barros, Rodrigo C. (2020) An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. In: Cerri, Ricardo and Prati, Ronaldo C., eds. Intelligent Systems. 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part I. Lecture Notes in Computer Science, 12319 . Springer, pp. 18-33. ISBN 978-3-030-61376-1. (doi:10.1007/978-3-030-61377-8_2) (KAR id:84754)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A., Alexandridis, Antonis (2019) Stochastic Model Genetic Programming: Deriving Pricing Equations for Rainfall Weather Derivatives. Swarm and Evolutionary Computation, 46 . pp. 184-200. ISSN 2210-6502. E-ISSN 2210-6510. (doi:10.1016/j.swevo.2019.01.008) (KAR id:72082)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A. (2018) Decomposition Genetic Programming: An Extensive Evaluation on Rainfall Prediction in the Context of Weather Derivatives. Applied Soft Computing, 70 . pp. 208-224. ISSN 1568-4946. (doi:10.1016/j.asoc.2018.05.016) (KAR id:67024)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A., Alexandridis, Antonis (2017) An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Systems with Applications, 85 . pp. 169-181. ISSN 0957-4174. (doi:10.1016/j.eswa.2017.05.029) (KAR id:61742)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A., Alexandridis, Antonis (2017) Pricing Rainfall Based Futures Using Genetic Programming. In: Lecture Notes in Computer Science. Applications of Evolutionary Computation. 10199. pp. 17-33. Springer ISBN 978-3-319-55848-6. (doi:10.1007/978-3-319-55849-3_2) (KAR id:60405)

Cramer, Sam and Kampouridis, Michael and Freitas, Alex A. and Alexandridis, Antonis (2016) Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. In: 2015 IEEE Symposium Series on Computational Intelligence. IEEE, pp. 711-718. ISBN 978-1-4799-7560-0. (doi:10.1109/SSCI.2015.108) (KAR id:50522)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A. (2016) Feature Engineering for Improving Financial Derivatives-based Rainfall Prediction. In: IEEE World Congress on Evolutionary Computation, 24-29 Jul 2016, Vancouver, Canada. (doi:10.1109/cec.2016.7744231) (KAR id:55153)

Cramer, Sam, Kampouridis, Michael, Freitas, Alex A. (2016) A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. In: Genetic and Evolutionary Computation Conference (GECCO 2016), 20-24 July 2016, Denver, United States. (doi:10.1145/2908812.2908894) (KAR id:55155)

Cerri, Ricardo, Pappa, Gisele L., de Carvalho, Andre C.P.L.F., Freitas, Alex A. (2015) An extensive evaluation of decision-tree based hierarchical multilabel classification methods and performance measures. Computational Intelligence, 31 (1). pp. 1-46. ISSN 1467-8640. E-ISSN 1467-8640. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:47125)

Cerri, Ricardo and Barros, Rodrigo C. and de Carvalho, Andre C.P.L.F. and Freitas, Alex A. (2013) A grammatical evolution algorithm for the generation of hierarchical multi-label classification rules. In: 2013 IEEE Congress on Evolutionary Computation. IEEE, pp. 454-461. ISBN 978-1-4799-0453-2. E-ISBN 978-1-4799-0454-9. (doi:10.1109/CEC.2013.6557604) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34482)

Cerri, Ricardo, de Carvalho, Andre C.P.L.F., Freitas, Alex A. (2011) Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intelligent Data Analysis, 15 (6). pp. 182-196. ISSN 1088-467X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30713)

Costa, Eduardo P. and Lorena, Ana C. and Carvalho, Andre C. P. L. F. and Freitas, Alex A. (2008) Top-down hierarchical ensembles of classifiers for predicting G-Protein-Coupled-Receptor functions. In: Bazzan, Ana L.C. and Craven, Mark and Martins, Natalia F., eds. Advances in Bioinformatics and Computational Biology Third Brazilian Symposium on Bioinformatics. Springer, Berlin, Germany, pp. 35-46. ISBN 978-3-540-85556-9. E-ISBN 978-3-540-85557-6. (doi:10.1007/978-3-540-85557-6_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24052)

Correa, Elon S. and Freitas, Alex A. and Johnson, Colin G. (2008) A New Discrete Particle Swarm Algorithm Applied to Attribute Selection in a Bioinformatics Data Set. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation. ACM, New York, USA, pp. 35-42. ISBN 1-59593-186-4. (doi:10.1145/1143997.1144003) (KAR id:71009)

Correa, Elon S., Freitas, Alex A., Johnson, Colin G. (2008) Particle swarm for attribute selection in Bayesian classification: an application to protein function prediction. Journal of Artificial Evolution and Applications, 2008 . 12 pages. ISSN ISSN: 1687-6229. (doi:10.1155/2008/876746) (KAR id:23983)

Costa, Eduardo P. and Lorena, Ana C. and Carvalho, Andre C. P. L. F. and Freitas, Alex A. and Holden, Nicholas (2007) Comparing several approaches for hierarchical classification of proteins with decision trees. In: Sagot, Marie-France and Walter, Maria Emilia M. T., eds. Advances in Bioinformatics and Computational Biology: Second Brazilian Symposium on Bioinformatics. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 126-137. ISBN 978-3-540-73730-8. E-ISBN 978-3-540-73731-5. (doi:10.1007/978-3-540-73731-5_12) (KAR id:14556)

Correa, Elon S. and Freitas, Alex A. and Johnson, Colin G. (2007) Particle swarm and bayesian networks applied to attribute selection for protein functional classification. In: Yu, Tina, ed. GECCO '07 Proceedings of the 9th annual conference companion on Genetic and evolutionary computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 2651-2658. ISBN 978-1-59593-698-1. (doi:10.1145/1274000.1274081) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14573)

Costa, Eduardo P. and Lorena, Ana C. and Carvalho, André C.P.L.F. and Freitas, Alex A. (2007) A review of performance evaluation measures for hierarchical classifiers. In: Drummond, Colin and Elazmeh, W. and Japkowicz, N. and Macskassy, S.A., eds. Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II. Association for the Advancement of Artificial Intelligence, pp. 1-6. ISBN 978-1-57735-332-4. (KAR id:14562)

Chan, Allen and Freitas, Alex A. (2006) A New Ant Colony Algorithm for Multi-Label Classification with Applications in Bioinformatics. In: Keijzer, Maarten, ed. Proceedings of the 8th annual conference on Genetic and evolutionary computation. ACM, New York, USA, pp. 27-34. ISBN 1-59593-186-4. (doi:10.1145/1143997.1144002) (KAR id:14459)

Chan, Allen and Freitas, Alex A. (2006) A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. In: Talbi, El-Ghazali and Liardet, Pierre and Collet, Pierre and Lutton, Evelyne and Schoenauer, Marc, eds. Artificial Evolution 7th International Conference. Lecture Notes In Computer Science . Springer, Berlin, Germany, pp. 25-36. ISBN 978-3-540-33589-4. E-ISBN 978-3-540-33590-0. (doi:10.1007/11740698_3) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14244)

Carvalho, Deborah R. and Freitas, Alex A. and Ebecken, Nelson (2005) Evaluating the correlation between objective rule interestingness measures and real human interest. In: Jorge, A. and Torgo, L. and Brazdil, P. and Camacho, R. and Gama, J., eds. Knowledge Discovery in Databases: PKDD 2005 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 453-461. ISBN 978-3-540-29244-9. E-ISBN 978-3-540-31665-7. (doi:10.1007/11564126_45) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14243)

Carvalho, Deborah R., Freitas, Alex A. (2005) Evaluating six candidate solutions for the small-disjunct problem and choosing the best solution via meta-learning. Artificial Intelligence Review, 24 (1). pp. 61-98. ISSN 0269-2821. (doi:10.1007/s10462-005-1586-7) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14257)

Chu, Dominique and Rowe, Jonathan (2005) A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. In: Capcarrere, Mathieu S. and Freitas, Alex A. and Bentley, Peter J. and Johnson, Colin G. and Timmis, Jon, eds. Advances in Artificial Life 8th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 845-853. ISBN 978-3-540-28848-0. E-ISBN 978-3-540-31816-3. (doi:10.1007/11553090_85) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14279)

Carvalho, Deborah R., Freitas, Alex A. (2004) A hybrid decision tree/genetic algorithm method for data mining. Information Sciences, 163 (1-3). pp. 13-35. ISSN 0020-0255. (doi:10.1016/j.ins.2003.03.013) (KAR id:14144)

Correa, Elon S., Steiner, Maria Teresinha A., Freitas, Alex A., Carnieri, Celso (2004) A genetic algorithm for solving a capacitated p-median problem. Numerical Algorithms, 35 (2-4). pp. 373-388. ISSN 1017-1398. (doi:10.1023/B:NUMA.0000021767.42899.31) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14192)

Carvalho, Deborah R. and Freitas, Alex A. and Ebecken, Nelson (2003) A critical review of rule surprisingness measures. In: Ebecken, Nelson and Brebbia, C.A. and Zanasi, A., eds. Data Mining. Management Information Systems, IV . WIT Press, pp. 545-556. ISBN 978-1-85312-806-6. (doi:10.2495/DATA030531) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13867)

Carvalho, Deborah R., Freitas, Alex A. (2002) A genetic algorithm for discovering small disjunct rules in data mining. Applied Soft Computing, 2 (2). pp. 75-88. ISSN 1568-4946. (doi:10.1016/S1568-4946(02)00031-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13691)

Carvalho, Deborah R., Freitas, Alex A. (2002) New results for a hybrid decision tree/genetic algorithm for data mining. In: Lofti, A. and Garibaldi, J. and John, R., eds. Proc. 4th Int. Conf. on Recent Advances in Soft Computing (RASC-2002). Advances in Intelligent and Soft Computing , 1. pp. 260-265. Springer, Berlin ISBN 978-3-540-40856-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13697)

Carvalho, Deborah R. and Freitas, Alex A. (2002) A genetic algorithm with sequential niching for discovering small-disjunct rules. In: Langdon, William B. and Cantu-Paz, Erick, eds. Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 1035-1042. ISBN 1-55860-878-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13768)

Carvalho, Deborah R. and Freitas, Alex A. (2001) An Immunological Algorithm for Discovering Small-disjunct Rules in Data Mining. In: Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 401-404. ISBN 1-55860-774-9. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13584)

Carvalho, Deborah R. and Freitas, Alex A. (2000) A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. In: Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 1061-1068. ISBN 1-55860-708-0. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22012)

Carvalho, Deborah R. and Freitas, Alex A. (2000) A Genetic Algorithm-based Solution for the Problem of Small Disjuncts. In: Zighed, Djamel A. and Komorowski, Jan and Zytkow, Jan, eds. rinciples of Data Mining and Knowledge Discovery 4th European Conference. Lecture Notes in Artificial Intelligence . Springer, Berlin, Germany, 217 -233. ISBN 978-3-540-41066-9. E-ISBN 978-3-540-45372-7. (doi:10.1007/3-540-45372-5_35) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21900)

Carvalho, Deborah R. and Avila, Braulio C. and Freitas, Alex A. (1999) A hybrid genetic algorithm/decision tree approach for coping with unbalanced classes. In: Mackin, N., ed. Proceedings of the 3rd International Conference on the Practical Applications of Knowledge Discovery and Data Mining (PADD-99). The Practical Application Company, London, pp. 61-70. ISBN 19024260405. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21853)

D

da Silva, Pablo Nasciemento, Plastino, Alexandre, Freitas, Alex A. (2020) Prioritizing positive feature values: a new hierarchical feature selection method. Applied Intelligence, . ISSN 0924-669X. E-ISSN 1573-7497. (doi:10.1007/s10489-020-01782-5) (KAR id:82231)

de Sá, Alex G. C. and Pimenta, Cristiano G. and Pappa, Gisele L. and Freitas, Alex A. (2020) A robust experimental evaluation of automated multi-label classification methods. In: GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. ACM, New York, USA, pp. 175-183. ISBN 978-1-4503-7128-5. (doi:10.1145/3377930.3390231) (KAR id:82232)

Da Silva, Pablo Nascimento, Plastino, Alexandre, Fabris, Fabio, Freitas, Alex A. (2020) A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, . ISSN 1545-5963. (doi:10.1109/TCBB.2020.2988450) (KAR id:81027)

de Sá, Alex G. C. and Freitas, Alex A. and Pappa, Gisele L. (2018) Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming. In: Auger, Anne and Fonseca, Carlos M. and Lourenço, Nuno and Machado, Penousal and Paquete, Luís and Whitley, Darrell, eds. Parallel Problem Solving from Nature – PPSN XV. Lecture Notes in Computer Science . Springer, pp. 308-320. ISBN 978-3-319-99258-7. (doi:10.1007/978-3-319-99259-4_25) (KAR id:68970)

da Silva, P.N., Plastino, Alexandre, Freitas, Alex A. (2018) A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. In: Proceedings of the SIAM International Conference on Data Mining (SDM18). . pp. 738-746. E-ISBN 978-1-61197-532-1. (doi:10.1137/1.9781611975321.83) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:67129)

de Oliveira, Lariza Laura, Freitas, Alex A., Tinós, Renato (2017) Multi-objective genetic algorithms in the study of the genetic code’s adaptability. Information Sciences, 425 . pp. 48-61. ISSN 0020-0255. (doi:10.1016/j.ins.2017.10.022) (KAR id:64639)

de Sá, Alex G.C. and Pappa, Gisele L. and Freitas, Alex A. (2017) Towards a method for automatically selecting and configuring multi-label classification algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 1125-1132. ISBN 978-1-4503-4939-0. (doi:10.1145/3067695.3082053) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:62887)

de Campos Merschmann, Luiz Henrique and Freitas, Alex Alves (2013) An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. In: Bellatreche, Ladjel and Mohania, Mukesh K., eds. Data Warehousing and Knowledge Discovery 15th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 159-171. ISBN 978-3-642-40130-5. E-ISBN 978-3-642-40131-2. (doi:10.1007/978-3-642-40131-2_14) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35627)

Davies, Matthew N., Gloriam, David E., Secker, Andrew D., Freitas, Alex A., Timmis, Jon, Flower, Darren R. (2011) Present perspectives on the automated classification of the G-Protein Coupled Receptors (GPCRs) at the Protein Sequence Level. Current Topics in Medicinal Chemistry, 11 (15). pp. 182-196. ISSN 1568-0266. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30733)

de Carvalho, Andre C.P.L.F. and Freitas, Alex A. (2009) A tutorial on multi-label classification techniques. In: Abraham, Ajith and Hassanien, Aboul-Ella and Snasel, Vaclav, eds. Foundations of Computational Intelligence. Studies in Computational Intelligence 205, Vol. 5 . Springer, pp. 177-195. ISBN 978-3-642-01535-9. (doi:10.1007/978-3-642-01536-6_8) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24132)

Davies, Matthew N., Secker, Andrew D., Freitas, Alex A., Timmis, Jon, Clark, Edward, Flower, Darren R. (2008) Alignment-independent techniques for protein classification. Current Proteomics, 5 (4). pp. 217-223. ISSN 1570-1646. (doi:10.2174/157016408786733770) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24055)

Davies, Matthew N., Secker, Andrew D., Freitas, Alex A., Clark, Edward, Timmis, Jon, Flower, Darren R. (2008) Optimizing amino acid groupings for GPCR classification. Bioinformatics, 24 (18). pp. 1980-1986. ISSN 1367-4803. (doi:10.1093/bioinformatics/btn382) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24049)

Davies, Matthew N., Secker, Andrew D., Halling-Brown, Mark, Moss, David S., Freitas, Alex A., Timmis, Jon, Clark, Edward, Flower, Darren R. (2008) GPCRTree: online hierarchical classification of GPCR function. BMC Research Notes, 1 (67). 5 pages. ISSN 1756-0500. (doi:10.1186/1756-0500-1-67) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24050)

Davies, Matthew N., Secker, Andrew D., Freitas, Alex A., Mendao, Miguel, Timmis, Jon, Flower, Darren R. (2007) On the hierarchical classification of G Protein-Coupled Receptors. Bioinformatics, 23 (23). pp. 3113-3118. ISSN 1367-4803. (doi:10.1093/bioinformatics/btm506) (KAR id:14527)

de Oliveira, César S., Meiguins, Aruanda S. G., Meiguins, Bianchi S., Godinho, Paulo Igor, Freitas, Alex A. (2007) An evolutionary density and grid-based clustering algorithm. In: daSilva, A.S. and Soares, V.G. and Elias, Gledson, eds. Proc. of the XXIII Brazilian Symposium on Databases (SBBD-2007). . pp. 175-189. Sociedade Brasileira de Computacao ISBN 978-85-7669-132-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14536)

Davies, Matthew N., Gloriam, David E., Secker, Andrew D., Freitas, Alex A., Mendao, Miguel, Timmis, Jon, Flower, Darren R. (2007) Proteomic applications of automated GPCR classification. Proteomics, 7 (16). pp. 2800-2814. ISSN 1615-9853. (doi:10.1002/pmic.200700093) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14555)

F

Freitas, Alex A. (2024) The case for hybrid multi-objective optimisation in high-stakes machine learning applications. ACM SIGKDD Explorations, 26 (1). pp. 24-33. (doi:10.1145/3682112.3682116) (KAR id:106803)

Fabris, Fabio, Palmer, Daniel, de Magalhaes, João Pedro, Freitas, Alex A. (2020) Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes. Briefings in Bioinformatics, 21 (3). pp. 803-814. ISSN 1477-4054. (doi:10.1093/bib/bbz028) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:73238)

Fabris, Fabio and Freitas, Alex A. (2020) Analysing the overfit of the auto-sklearn automated machine learning tool. In: Machine Learning, Optimization, and Data Science 5th International Conference. Lecture Notes in Computer Science . Springer, Cham, Switzerland, pp. 508-520. ISBN 978-3-030-37598-0. E-ISBN 978-3-030-37599-7. (doi:10.1007/978-3-030-37599-7_42) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:79931)

Fabris, Fabio, Palmer, Daniel, Salama, Khalid M., de Magalhaes, Joao Pedro, Freitas, Alex A. (2019) Using deep learning to associate human genes with age-related diseases. Bioinformatics, 36 (7). pp. 2202-2208. ISSN 1367-4803. (doi:10.1093/bioinformatics/btz887) (KAR id:79932)

Freitas, Alex A. (2019) Automated machine learning for studying the trade-off between predictive accuracy and interpretability. In: Lecture Notes in Computer Science. Machine Learning and Knowledge Extraction. International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings. 11713. pp. 48-66. Springer ISBN 978-3-030-29725-1. E-ISBN 978-3-030-29726-8. (doi:10.1007/978-3-030-29726-8_4) (KAR id:77014)

Freitas, Alex A. (2019) Investigating the Role of Simpson’s Paradox in the Analysis of Top-Ranked Features in High-Dimensional Bioinformatics Datasets. Briefings in Bioinformatics, 21 (2). pp. 421-428. E-ISSN 1477-4054. (doi:10.1093/bib/bby126) (KAR id:72582)

Freitas, Alex A., Pinto Junior, Jony A., Plastino, Alexandre, Neumann, Nadine M. (2018) Is P-value<0.05 Enough? Two Case Studies in Classifiers Evaluation. In: Annals of the National Meeting of Artificial and Computational Intelligence (ENIAC). . pp. 94-103. (doi:10.5753/eniac.2018.4407) (KAR id:72111)

Fabris, Fabio, Doherty, Aoife, Palmer, Daniel, de Magalhães, João Pedro, Freitas, Alex A. (2018) A new approach for interpreting Random Forest models and its application to the biology of ageing. Bioinformatics, 34 (14). pp. 2449-2456. ISSN 1367-4803. (doi:10.1093/bioinformatics/bty087) (KAR id:66666)

Fabris, Fabio (2017) New Probabilistic Graphical Models and Meta-Learning Approaches for Hierarchical Classification, with Applications in Bioinformatics and Ageing. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.63883) (KAR id:63883)

Fabris, Fabio, Freitas, Alex A., de Magalhaes, João Pedro (2017) A Review of Supervised Machine Learning Applied to Ageing Research. Biogerontology, 18 (2). pp. 171-188. ISSN 1389-5729. E-ISSN 1573-6768. (doi:10.1007/s10522-017-9683-y) (KAR id:60517)

Fernandes, Maria, Wan, Cen, Tacutu, Robi, Barardo, Diogo, Rajput, Ashish, Wang, Jingwei, Thoppil, Harikrishnan, Thornton, Daniel, Yang, Chenhao, Freitas, Alex A., and others. de Magalhaes, João Pedro (hide) (2016) Systematic analysis of the gerontome reveals links between aging and age-related diseases. Human Molecular Genetics, 25 (21). pp. 4804-4818. ISSN 0964-6906. (doi:10.1093/hmg/ddw307) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:60842)

Fabris, Fabio, Freitas, Alex A. (2016) New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. Bioinformatics, 32 (19). pp. 2988-2995. ISSN 1367-4803. (doi:10.1093/bioinformatics/btw363) (KAR id:56869)

Fabris, Fabio, Freitas, Alex A., Tullet, Jennifer M.A. (2015) An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 13 (6). pp. 1045-1058. ISSN 1545-5963. E-ISSN 1557-9964. (doi:10.1109/TCBB.2015.2505288) (KAR id:58594)

Fabris, Fabio and Freitas, Alex A. (2015) A novel extended hierarchical dependence network based on non-hierarchical predictive classes and applications to ageing-related data. In: 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, pp. 711-718. ISBN 978-1-5090-0162-0. E-ISBN 978-1-5090-0163-7. (doi:10.1109/ICTAI.2015.53) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:55186)

Freitas, Alex A., Limbu, Kriti, Ghafourian, Taravat (2015) Predicting volume of distribution with decision tree-based regression methods using predicted tissue:plasma partition coefficients. Journal of Cheminformatics, 7 (6). ISSN 1758-2946. (doi:10.1186/s13321-015-0054-x) (KAR id:47803)

Fabris, Fabio and Freitas, Alex A. (2014) Dependency network methods for hierarchical multi-label classification of gene functions. In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE, pp. 241-248. E-ISBN 978-1-4799-4518-4. (doi:10.1109/CIDM.2014.7008674) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:47018)

Freitas, Alex A. (2014) Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genetic Programming and Evolvable Machines, 15 (1). pp. 3-35. ISSN 1389-2576. E-ISSN 1573-7632. (doi:10.1007/s10710-013-9186-9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:43431)

Freitas, Alex A. (2014) An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. In: 2014 25th International Workshop on Database and Expert Systems Applications. IEEE, pp. 64-68. ISBN 978-1-4799-5721-7. E-ISBN 978-1-4799-5722-4. (doi:10.1109/DEXA.2014.29) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:43432)

Freitas, Alex A. (2013) Prediction of the Pro-longevity or Anti-Longevity Effect of Caenorhabditis Elegans Genes Based on Bayesian Classification Methods. In: 2013 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, pp. 373-380. E-ISBN 978-1-4799-1309-1. (doi:10.1109/BIBM.2013.6732521) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:38535)

Freitas, Alex A. (2013) Comprehensible classification models - a position paper. ACM SIGKDD Explorations, 15 (1). pp. 1-10. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:38534)

Freitas, Alex A., de Magalhaes, João Pedro (2011) A review and appraisal of the DNA damage theory of ageing. Mutation Research, 728 (1-2). pp. 182-196. ISSN 1383-5742. (doi:10.1016/j.mrrev.2011.05.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30746)

Freitas, Alex A., Vasieva, Olga, de Magalhaes, João Pedro (2011) A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related. BMC Genomics, 12 (27). pp. 182-196. ISSN 1471-2164. (doi:10.1186/1471-2164-12-27) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30772)

Freitas, Alex A., Wieser, Daniela C., Apweiler, Rolf (2010) On the importance of comprehensible classification models for protein function prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7 (1). pp. 182-196. ISSN 1545-5963. (doi:10.1109/TCBB.2008.47) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30699)

Freitas, Alex A. (2007) A review of evolutionary algorithms for data mining. In: Maimon, Oded and Rokach, Lior, eds. Soft Computing for Knowledge Discovery and Data Mining. Springer, pp. 61-93. ISBN 0-387-69934-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23996)

Freitas, Alex A., Timmis, Jon (2007) Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Transactions on Evolutionary Computation, 11 (4). pp. 521-540. ISSN 1089-778X. (doi:10.1109/TEVC.2006.884042) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14552)

Freitas, Alex A. and McGarry, Ken and Correa, Elon S. (2007) Integrating Bayesian networks and Simpson's paradox in data mining. In: Russo, Frederica and Williamson, Jon, eds. Causality and Probability in the Sciences. Texts in Philosophy (Volume). College Publications, United Kingdom, pp. 43-62. ISBN 1-904987-35-4. (KAR id:14614)

Freitas, Alex A. and de Carvalho, Andre C.P.L.F. (2007) A Tutorial on Hierarchical Classification with Applications in Bioinformatics. In: Taniar, David, ed. Research and Trends in Data Mining Technologies and Applications. Advances in Data Warehousing and Mining . IGI Publishing, USA, pp. 175-208. ISBN 1-59904-272-X. (KAR id:14610)

Freitas, Alex A. (2006) Are we really discovering ''interesting'' knowledge from data? Expert Update (the BCS-SGAI Magazine), 9 (1). pp. 41-47. ISSN 1465-4091. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14404)

Freitas, Alex A. (2005) Evolutionary Algorithms for Data Mining. In: Maimon, Oded and Rokach, Lior, eds. Data Mining and Knowledge Discovery Handbook. Springer, pp. 435-467. ISBN 0-387-24435-2. (doi:10.1007/b107408) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14373)

Freitas, Alex A. (2004) A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explorations, 6 (2). pp. 77-86. ISSN 1931-0145. (doi:10.1145/1046456.1046467) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14051)

Ferreira, Simone N.M. and Freitas, Alex A. and Avila, Braulio C. (2004) Handling inconsistency in distributed data mining with paraconsistent logic. In: Guzelis, C. and Alpaydin, E. and Yakhno, T. and Gurgen, F., eds. Proceedings of the Thirteenth Turkish Symposium on Artificial Intelligence and Neural Networks. , pp. 19-28. ISBN 975-441-213-8. (KAR id:14154)

Freitas, Alex A., Timmis, Jon (2003) Revisiting the Foundations of Artificial Immune Systems: A Problem Oriented Perspective. In: Timmis, Jon and Bentley, Peter J. and Hart, Emma, eds. Proceedings of the 2nd International Conference on Artificial Immune Systems. Lecture Notes in Computer Science , 2787. pp. 229-241. Springer ISBN 3-540-40766-9. (doi:10.1007/978-3-540-45192-1_22) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13905)

Freitas, Alex A. (2003) A survey of evolutionary algorithms for data mining and knowledge discovery. In: Ghosh, Ashish and Tsutsui, Shigeyoshi, eds. Advances in Evolutionary Computation. Natural Computing Series . Springer-Verlag, Berli, pp. 819-845. ISBN 978-3-540-43330-9. (doi:10.1007/978-3-642-18965-4_33) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13755)

Freitas, Alex A. (2002) Data Mining and Knowledge Discovery with Evolutionary Algorithms. Natural Computing Series . Spinger-Verlag, Berlin, 265 pp. ISBN 3-540-43331-7. (doi:10.1007/978-3-662-04923-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13669)

Freitas, Alex A. (2002) A Review of Evolutionary Algorithms for E-Commerce. In: Segovia, J. and Szczepaniak, PS and Niedzwiedzinski, M., eds. E-Commerce and Intelligent Methods. Studies in Fuzziness and Soft Computing. Studies in Fuzziness and Soft Computing, 105 (105). Springer-Verlag, Heidelberg, Berlin, pp. 159-179. ISBN 3-7908-1499-7. (doi:10.1007/978-3-7908-1779-9_10) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13683)

Freitas, Alex A. (2002) Evolutionary Computation. In: Klosgen, Willi and Zytkow, Jan, eds. Handbook of Data Mining and Knowledge Discovery. Oxford University Press, New York. ISBN 978-0-19-511831-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13756)

Freitas, Alex A. (2001) Understanding the crucial role of attribute interaction in data mining. Artificial Intelligence Review, 16 (3). pp. 177-199. ISSN 0269-2821. (doi:10.1023/A:1011996210207) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13524)

Fabris, Carem C., Freitas, Alex A. (2001) Incorporating deviation-detection functionality into the OLAP paradigm. In: Mattoso, M.L.Q. and Xexeo, G., eds. Proc. XVI Brazilian Symposium on Databases (SBBD-2001). . pp. 274-285. , Rio de Janeiro, Brazil (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13537)

Freitas, Alex A. (2001) Book Review: Data Mining Using Grammar-based Genetic Programming and Applications. Review of: Data Mining Using Grammar-based Genetic Programming and Applications by Wong, L.M. and Leung, K.S.. Genetic Programming and Evolvable Machines, 2 (2). pp. 197-199. ISSN 1389-2576. (doi:10.1023/A:1011564616547) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13597)

Fidelis, M.V. and Lopes, Heitor S. and Freitas, Alex A. (2000) Discovering comprehensible classification rules with a genetic algorithm. In: Proceedings of the 2000 Congress on Evolutionary Computation. IEEE, pp. 805-810. ISBN 0-7803-6375-2. (doi:10.1109/CEC.2000.870381) (KAR id:22013)

Freitas, Alex A. (2000) Data Mining with Evolutionary Algorithms: Research Directions. AI Magazine, 21 (1). ISSN 0738-4602. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22035)

Fabris, Carem C., Freitas, Alex A. (2000) Discovering surprising patterns by detecting occurrences of Simpson's paradox. In: Bramer, Max and Macintosh, Ann and Coenen, Frans, eds. Research and Development in Intelligent Systems XVI. B C S Conference Series . pp. 148-160. Springer-Verlag, Berlin ISBN 1-85233-231-X. (doi:10.1007/978-1-4471-0745-3_10) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21712)

Freitas, Alex A. (2000) Understanding the crucial differences between classification and discovery of association rules - a position paper. ACM SIGKDD Explorations Newsletter, 2 (1). pp. 65-69. (doi:10.1145/360402.360423) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21914)

Freitas, Alex A. (1999) On Rule Interestingness Measures. Knowledge-Based Systems, 12 (5-6). pp. 309-315. ISSN 0950-7051. (doi:10.1016/S0950-7051(99)00019-2) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21761)

Fertig, Cristina S. and Freitas, Alex A. and Arruda, Lucia V. R. and Kaestner, Celso A.A. (1999) A Fuzzy Beam-Search Rule Induction Algorithm. In: Zytkow, Jan M. and Rauch, Jan, eds. Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 341-347. ISBN 978-3-540-66490-1. E-ISBN 978-3-540-48247-5. (doi:10.1007/978-3-540-48247-5_40) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21711)

Freitas, Alex A. (1999) A summary of the papers presented at the AAAI-99 and GECCO-99 Workshop on Data Mining with Evolutionary Algorithms: Research Directions. In: Proceedings of the 1999 Genetic and Evolutionary Computation Conference (GECCO-99), July 13-17, 1999, Orlando, Florida, USA. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21808)

Freitas, Alex A., ed. (1999) Data Mining with Evolutionary Algorithms: Research Directions - Papers from the AAAI Workshop. Association for the Advancement of Artificial Intelligence, Menlo Park, California, USA ISBN 978-1-57735-090-3. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21714)

Freitas, Alex A. (1999) A genetic algorithm for generalized rule induction. In: Roy, Rajkumar and Furuhashi, Takeshi and Chawdhry, Pravir K., eds. Advances in Soft Computing Engineering Design and Manufacturing. Springer, London, UK, pp. 340-353. ISBN 1-85233-062-7. (doi:10.1007/978-1-4471-0819-1_25) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21710)

Freitas, Alex A. (1998) A Multi-criteria approach for the evaluation of rule interestingness. In: Ebecken, Nelson, ed. Data Mining. WIT Press, pp. 7-20. ISBN 978-1-85312-677-2. (doi:10.2495/DATA980021) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21601)

Freitas, Alex A., Lavington, Simon H. (1998) Mining Very Large Databases with Parallel Processing. Kluwer Academic Publishers, Boston, 228 pp. ISBN 0-7923-8048-7 & 978-0792380481. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21560)

Freitas, Alex A. (1998) On Objective Measures of Rule Surprisingness. In: Zytkow, Jan M. and Quafafou, Mohamed, eds. Principles of Data Mining and Knowledge Discovery Second European Symposium. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1-9. ISBN 978-3-540-65068-3. E-ISBN 978-3-540-49687-8. (doi:10.1007/BFb0094799) (KAR id:21572)

Freitas, Alex A. (1997) A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction. In: Koza, J.R. and Deb, K., eds. Genetic Programming 1997: Proceedings of the Second Annual Conference. Morgan Kaufmann, pp. 96-101. ISBN 978-1-55860-483-4. (KAR id:21483)

Freitas, Alex A. (1997) Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. In: Shoval, P. and Silberschatz, A., eds. Proc 3rd Int Workshop on Next-Generation Information Technologies and Systems. . pp. 33-43. , Neve Ilan, Israel (KAR id:21484)

Freitas, Alex A. (1997) The trade-off between effectiveness and efficiency in attribute selection: in defense of the filter approach. In: Ng, R., ed. Proc 1997 SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery. . , Technical Report 97-07 (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21511)

Freitas, Alex A. (1997) The Principle of Transformation Between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectivenss of KDD Techniques. In: Komorowski, Jan and Zytkow, Jan, eds. Principles of Data Mining and Knowledge Discovery First European Symposium. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 299-306. ISBN 978-3-540-63223-8. E-ISBN 978-3-540-69236-2. (doi:10.1007/3-540-63223-9_128) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21419)

Freitas, Alex A., Lavington, Simon H. (1996) A Framework for Data-parallel Knowledge Discovery in Databases. In: IEE Colloquium on Knowledge Discovery and Data Mining: Digest No 96/198. . 6/1-6/4. IEE, London (doi:10.1049/ic:19961111) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21336)

Freitas, Alex A. and Lavington, Simon H. (1996) Using SQL primitives and parallel DB servers to speed up knowledge discovery in large relational databases. In: Trappl, Robert, ed. Cybernetics and systems '96 : proceedings of the Thirteenth European Meeting on Cybernetics and Systems Research. Austrian Society for Cybernetic Studies, Vienna, Austria, pp. 955-960. ISBN 3-85206-133-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21376)

Freitas, Alex A. and Lavington, Simon H. (1996) Parallel Data Mining for Very Large Relational Databases. In: Liddell, Heather, ed. High-Performance Computing and Networking International Conference and Exhibition. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 158-163. ISBN 978-3-540-61142-4. E-ISBN 978-3-540-49955-8. (doi:10.1007/3-540-61142-8_542) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21306)

Freitas, Alex A., Lavington, Simon H. (1996) Speeding up knowledge discovery in large relational databases by means of a new discretization algorithm. In: Morrison, Ron and Kennedy, Jessie, eds. Advances in Databases (Proc 14th British Nat Conf on Databases, Edinburgh, UK. Lecture Notes in Computer Science (1094). pp. 124-133. Springer-Verlag, Berlin (doi:10.1007/3-540-61442-7_8) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21307)

Freitas, Alex A. (1996) A Survey of Parallel Data Mining. In: 2nd International Conference on the Practical Applications of Knowledge Discovery and Data Mining, 02-04 Aug 1996, Portland, Oregon, USA. (Unpublished) (KAR id:21570)

Freitas, Alex Alves and Anacleto, Junia Coutinho and Kirner, Claudio (1994) Applying Genetic Algorithms to the Load-Balancing Problem. In: Baeza-Yates, Ricardo, ed. Computer Science 2: Research and Applications. Springer, Boston, Massachusetts, USA, pp. 7-13. ISBN 978-1-4757-9807-4. E-ISBN 978-1-4757-9805-0. (doi:10.1007/978-1-4757-9805-0_3) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21155)

Freitas, Alex A., Anacleto, J.C., Neto, R.M., Kirner, C. (1993) Algoritmos Geneticos e sua aplicacao ao problema do corte de barras. In: Proc I Simp Brasileiro em Automacao Inteligente. . pp. 38-47. , Rio Claro - SP, Brazil: UNESP (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21102)

Freitas, Alex A., Kirner, C. (1993) Fine-grain parallel best-first branch-and-bound. In: Proc XIX Latin-American Conf on Informatics. . pp. 421-436. , Buenos Aires, Argentina (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21103)

Freitas, Alex A., Kirner, C. (1993) Tailoring A* for a massively parallel machine: application to the traveling salesman problem. In: Proc I Simp Brasileiro em Automacao Inteligente. . pp. 371-380. , Rio Claro - SP< Brazil: UNESP (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21104)

Freitas, Alex A., Kirner, C. (1992) Algoritmos para descobrir o maximo em um multicomputador baseado em barramentos hierarquicos. In: Proc IV Simp Brasileiro em Arquitetura de Computadores. . pp. 289-303. , Sao Paulo - SP, Brazil: USP (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21025)

Freitas, Alex A., Kirner, C. (1992) Introducao a algoritmos geneticos. In: Proc Workshop em Redes Neurais. . pp. 71-88. , Sao Carlos - SP, Brazil: UFSCar (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21030)

G

Goncalves, E.C., Freitas, Alex A., Plastino, Alexandre (2018) A survey of genetic algorithms for multi-label classification. In: Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC 2018). Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC 2018). . pp. 981-988. IEEE, New York, NY, USA ISBN 978-1-5090-6017-7. (doi:10.1109/CEC.2018.8477927) (KAR id:74161)

Gonçalves, Eduardo C. and Plastino, Alexandre and Freitas, Alex A. (2015) Simpler is better: a novel genetic algorithm to induce compact multi-label chain classifiers. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 559-566. ISBN 978-1-4503-3472-3. (doi:10.1145/2739480.2754650) (KAR id:50176)

Goncalves, Eduardo Corrêa and Plastino, Alexandre and Freitas, Alex A. (2013) A Genetic Algorithm for Optimizing the Label Ordering in Multi-Label Classifier Chains. In: 2013 IEEE 25th International Conference on Tools with Artificial Intelligence. IEEE, pp. 469-476. ISBN 978-1-4799-2971-9. E-ISBN 978-1-4799-2972-6. (doi:10.1109/ICTAI.2013.76) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37822)

Ghafourian, Taravat, Freitas, Alex A., Newby, Danielle (2012) The impact of training set data distributions for modelling of passive intestinal absorption. International Journal of Pharmaceutics, 436 (1-2). pp. 711-720. ISSN 0378-5173. (doi:10.1016/j.ijpharm.2012.07.041) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30783)

Ghosh, Siddhartha, Froebrich, Dirk, Freitas, Alex A. (2008) Robust autonomous detection of the defective pixels in detectors using a probabilistic technique. Applied Optics, 47 (36). pp. 6904-6924. ISSN 0003-6935. (doi:10.1364/ao.47.006904) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24066)

Ghosh, Siddhartha and Marshall, Ian W. and Freitas, Alex A. (2008) Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique. In: Image Quality and System Performance V. Proceedings of SPIE . SPIE, Bellingham, Washington. ISBN 978-0-8194-6980-9. (doi:10.1117/12.765147) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24051)

Ghosh, Siddhartha and Freitas, Alex and Marshall, Ian (2007) Robust Autonomous Detection of the Faulty Sensors of a Sensor Array. In: 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. IEEE, pp. 233-236. ISBN 978-1-4244-1713-1. (doi:10.1109/CAMSAP.2007.4498008) (KAR id:14523)

Goncalves, A.S. and Freitas, Alex A. and Kato, R. and de Oliveira, R.C.L. (2005) Using genetic algorithms to mine interesting dependence modeling rules. In: Hamza, M.H., ed. Databases and Applications. ACTA Press, pp. 1-6. ISBN 0-88986-460-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14364)

Ghosh, Ashish, Freitas, Alex A. (2003) Guest Editorial: Data Mining and Knowledge Discovery with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, 7 (6). pp. 517-518. ISSN 1089-778X. (doi:10.1109/TEVC.2003.819653) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13870)

Ghosh, Ashish and Freitas, Alex A. (2003) Special Issue on data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. on Evolutionary Computation 7(6). (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13873)

H

Helal, Ayah (2019) New Archive-Based Ant Colony Optimization Algorithms for Learning Predictive Rules from Data. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:80465)

Hruschka, Eduardo Raul, Campello, Ricardo J. G. B., Freitas, Alex A., de Carvalho, Andre C.P.L.F. (2009) A survey of evolutionary algorithms for clustering. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 39 (2). pp. 133-155. ISSN 1094-6977. (doi:10.1109/TSMCC.2008.2007252) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24074)

Holden, Nicholas, Freitas, Alex A. (2009) Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. Soft Computing, 13 (3). pp. 259-272. ISSN 1432-7643. (doi:10.1007/s00500-008-0321-0) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24048)

Holden, Nicholas, Freitas, Alex A. (2008) A hybrid PSO/ACO algorithm for discovering classification rules in data mining. Journal of Artificial Evolution and Applications, 2008 . 11 pages. ISSN ISSN: 1687-6229. (doi:10.1155/2008/316145) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23984)

Holden, Nicholas and Freitas, Alex A. (2008) Improving the performance of hierarchical classification with swarm intelligence. In: Marchiori, Elena and Moore, Jason H., eds. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 6th European Conference. Lecture Notes in Computer Science, 4973 . Springer, Berlin, Germany, pp. 48-60. ISBN 978-3-540-78756-3. E-ISBN 978-3-540-78757-0. (doi:10.1007/978-3-540-78757-0_5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15684)

Holden, Nicholas and Freitas, Alex A. (2007) A hybrid PSO/ACO algorithm for classification. In: Yu, Tina, ed. GECCO '07 Proceedings of the 9th annual conference companion on Genetic and evolutionary computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 2745-2750. ISBN 978-1-59593-698-1. (doi:10.1145/1274000.1274080) (KAR id:14572)

Holden, Nicholas, Freitas, Alex A. (2006) Hierarchical classification of G-protein-coupled receptors with a PSO/ACO algorithm. In: Proceedings of the IEEE Swarm Intelligence Symposium (SIS '06). . pp. 77-84. IEEE Press (KAR id:14466)

Holden, Nicholas and Freitas, Alex A. (2005) A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. In: Arabshahi, Payman and Martinoli, Alcherio, eds. Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. IEEE, pp. 100-107. ISBN 0-7803-8916-6. (doi:10.1109/SIS.2005.1501608) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14309)

Holden, Nicholas and Freitas, Alex A. (2004) Web page classification with an ant colony algorithm. In: Parallel Problem Solving from Nature - PPSN VIII 8th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1092-1102. ISBN 3-540-23092-0. (doi:10.1007/978-3-540-30217-9_110) (KAR id:14076)

I

Iqbal, Musaddar and Freitas, Alex A. and Johnson, Colin G. (2009) A hybrid rule-induction/likelihood-ratio based approach for predicting protein-protein interactions. In: Mumford, Christine L. and Jain, Lakhmi C., eds. Computational Intelligence: Collaboration, Fusion and Emergence. Intelligent Systems Reference Library . Springer, pp. 623-637. ISBN 978-3-642-01798-8. (doi:10.1007/978-3-642-01799-5<sub>1</sub>9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24134)

Iqbal, Musaddar, Freitas, Alex A., Johnson, Colin G., Vergassola, Massimo (2008) Message-passing algorithms for the prediction of protein domain interactions from protein?protein interaction data. Bioinformatics, 24 (18). pp. 2064-2070. ISSN 1460-2059. (doi:10.1093/bioinformatics/btn366) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24006)

Iqbal, Musaddar and Freitas, Alex A. and Johnson, Colin G. (2008) Protein interaction inference using particle swarm optimization algorithm. In: Marchiori, Elena and Moore, Jason H., eds. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 6th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 61-70. ISBN 978-3-540-78756-3. E-ISBN 978-3-540-78757-0. (doi:10.1007/978-3-540-78757-0_6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15710)

Iqbal, Musaddar, Freitas, Alex A., Johnson, Colin G. (2005) Varying the Topology and Probability of Re-Initialization in Particle Swarm Optimization. In: Talbi, El-Ghazali, ed. Evolution Artificielle 2005. . (KAR id:14249)

J

Jungjit, Suwimol (2016) New Multi-Label Correlation-Based Feature Selection Methods for Multi-Label Classification and Application in Bioinformatics. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:58873)

Jungjit, Suwimol and Freitas, Alex A. (2015) A new genetic algorithm for multi-label correlation-based feature selection. In: ESANN 2015 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN, pp. 285-290. ISBN 978-2-87587-014-8. (KAR id:48529)

Jungjit, Suwimol and Freitas, Alex A. (2015) A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection. In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 989-996. ISBN 978-1-4503-3488-4. (doi:10.1145/2739482.2768448) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:50175)

Jungjit, Suwimol, Freitas, Alex A., Michaelis, Martin, Cinatl, J. (2014) Extending multi-label feature selection with KEGG pathway information for microarray data analysis. In: Proceedings of the 2014 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. . (doi:10.1109/cibcb.2014.6845501) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42049)

Jungjit, Suwimol, Freitas, Alex A., Michaelis, Martin, Cinatl, Jindrich (2013) Two extensions to multi-lable correlation-based feature selection: a case study in bioinformatics. In: Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC-2013). . pp. 1519-1524. IEEE Press ISBN 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC-2013). (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35630)

Jungjit, Suwimol and Freitas, Alex A. and Michaelis, M. and Cinatl, J. (2012) A multi-label correlation-based feature selection method for the classification of neuroblastoma microarray data. In: Bichindaritz, Isabelle and Perner, Petra and Ruß, Georg and Schmidt, Rainer, eds. Advances in Data Mining: 12 Industrial Conference ICDM 2012 Workshop Proceedings. IBAI Publishing, pp. 149-157. ISBN 978-3-942952-16-3. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30805)

K

Keysermann, M.U. and Freitas, A.A. and Vargas, P.A. (2011) Implementing a data mining approach to episodic memory modelling for artificial companions. In: Kazakov, Dimitar and Tsoulas, George, eds. Human Memory for Artificial Agents: AISB 2011 Symposium. Society for the Study of Artificial Intelligence and the Simulation of Behaviour, pp. 182-196. ISBN 978-1-908187-04-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30761)

L

Lu, Yang, Li, Shujun, Freitas, Alex A., Ioannou, Athina (2022) How data-sharing nudges influence people's privacy preferences: A machine learning-based analysis. EAI Endorsed Transactions on Security and Safety, 8 (30). pp. 1-20. ISSN 2032-9393. (doi:10.4108/eai.21-12-2021.172440) (KAR id:93892)

Liza, Farhana Ferdousi (2019) Improving Training of Deep Neural Network Sequence Models. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:81637)

La Torre, A., Pena, J.M., Muelas, S., Freitas, Alex A. (2010) Learning hybridization strategies in evolutionary algorithms. Intelligent Data Analysis, 14 (3). pp. 182-196. ISSN 1088-467X. (doi:10.3233/IDA-2010-0424) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30654)

Larsen, O., Freitas, Alex A., Nievola, Julio C. (2002) Constructing X-of-N attributes with a genetic algorithm. In: Lofti, A. and Garibaldi, J. and John, R., eds. Proc. 4th Int. Conf. on Recent Advances in Soft Computing (RASC-2002). . pp. 326-331. Nottingham Trent University (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13696)

Larsen, Otavio and Freitas, Alex A. and Nievola, Julio C. (2002) Constructing X-of-N Attributes with a Genetic Algorithm. In: Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA. ISBN 1-55860-878-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13772)

Lavington, Simon H., Dewhurst, N., Wilkins, E., Freitas, Alex A. (1999) Interfacing knowledge discovery algorithms to large database management systems. Information and Software Technology, 41 (9). pp. 605-617. ISSN 0950-5849. (doi:10.1016/S0950-5849(99)00024-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21713)

M

Maia, Marcelo Rodrigues de Holanda, Plastino, Alexandre, Freitas, Alex A., de Magalhaes, Joao Pedro (2022) Interpretable Ensembles of Classifiers for Uncertain Data with Bioinformatics Applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics, . pp. 1-12. ISSN 1557-9964. (doi:10.1109/tcbb.2022.3218588) (KAR id:98040)

Magdaleno, G.D.V., Bespalov, V., Zheng, Y., Freitas, Alex A., de Magalhaes, João Pedro (2022) Machine learning-based predictions of dietary restriction associations across ageing-related genes. BMC Bioinformatics, 23 . pp. 1-28. ISSN 1471-2105. (doi:10.1186/s12859-021-04523-8) (KAR id:92554)

Maia, M.R.H., Plastino, A., Freitas, Alex A. (2021) An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. In: Proceedings: 21st IEEE International Conference on Data Mining (ICDM 2021). . pp. 1216-1221. IEEE, Los Alamitos, CA, USA ISBN 978-1-6654-2398-4. (doi:10.1109/ICDM51629.2021.00148) (KAR id:91723)

Miranda, Enrico S., Fabris, Fabio, Nascimento, Chrystian G. M., Freitas, Alex A., Oliveira, Alexandre C. M. (2018) Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem. In: IEEE Conference on Intelligent Systems. 2018 7th Brazilian Conference on Intelligent Systems (BRACIS). . pp. 169-174. IEEE, USA ISBN 978-1-5386-8023-0. (doi:10.1109/BRACIS.2018.00037) (KAR id:73694)

Martire, I., da Silva, P.N., Plastino, Alexandre, Fabris, Fabio, Freitas, Alex A. (2017) A novel probabilistic Jaccard distance measure for classification of sparse and uncertain data. In: Rebeiro de Faria Paiva, Elaine and Merschmann, Luiz and Cerri, Ricardo, eds. Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe). . pp. 81-88. (KAR id:67128)

Medland, Matthew, Otero, Fernando E.B., Freitas, Alex A. (2012) Improving the cAnt-MinerPB Classification Algorithm. In: Dorigo, Marco and Birattari, Mauro and Blum, Christian and Christensen, Anders Lyhne and Engelbrecht, Andries P. and Groß, Roderich and Stützle, Thomas, eds. Swarm Intelligence. Lecture Notes in Computer Science , 7461. pp. 73-84. Springer Berlin Heidelberg ISBN 978-3-642-32649-3. (doi:10.1007/978-3-642-32650-9) (KAR id:30833)

Meiguins, Aruanda S. G., Limao, R.C., Meiguins, Bianchi S., Junior, S.F.S., Freitas, Alex A. (2012) AutoClustering: an estimation of distribution algorithm for the automatic generation of clustering algorithms. In: Proceedings of WCCI 2012 Â? IEEE World Congress on Computational Intelligence (Congress on Evolutionary Computation). . pp. 2560-2566. IEEE Press (doi:10.1109/cec.2012.6252874) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30815)

Moraglio, Alberto, Otero, Fernando E.B., Johnson, Colin G., Thompson, Simon, Freitas, Alex A. (2012) Evolving Recursive Programs using Non-recursive Scaffolding. In: Proceedings of the 2012 IEEE World Congress on Computational Intelligence. . pp. 1596-1603. (KAR id:30810)

Miles, Nick and Freitas, Alex A. and Serjeant, Stephen (2006) Estimating photometric redshifts using genetic algorithms. In: Ellis, Richard and Allen, Tony and Tuson, Andrew, eds. Applications and Innovations in Intelligent Systems XIV Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer, New York, USA, pp. 75-87. ISBN 1-84628-665-4. (doi:10.1007/978-1-84628-666-7_6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14385)

McGarry, Ken and Morris, Nick and Freitas, Alex A. (2006) The integration of heterogeneous biological data using Bayesian networks. In: Ellis, Richard and Allen, Tony and Tuson, Andrew, eds. Applications and Innovations in Intelligent Systems XIV Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer, pp. 44-57. ISBN 978-1-84628-665-0. E-ISBN 978-1-84628-666-7. (doi:10.1007/978-1-84628-666-7_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14390)

Mendes, R.R.F. and Voznika, F.B. and Freitas, Alex A. and Nievola, Julio C. (2001) Discovering fuzzy classification rules with genetic programming and co-evolution. In: Principles of Data Mining and Knowledge Discovery 5th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 314-325. ISBN 978-3-540-42534-2. E-ISBN 978-3-540-44794-8. (doi:10.1007/3-540-44794-6_26) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13494)

N

Neumann, Nadine M., Plastino, Alexandre, Pinto Junior, Jony A., Freitas, Alex A. (2020) A study on the statistical evaluation of classifiers. Knowledge Engineering Review, 36 (e1). pp. 1-26. ISSN 0269-8889. E-ISSN 1469-8005. (doi:10.1017/S0269888920000417) (KAR id:87091)

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2015) Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption. European Journal of Medicinal Chemistry, 90 . pp. 751-765. ISSN 0223-5234. (doi:10.1016/j.ejmech.2014.12.006) (KAR id:47124)

Newby, D., Freitas, Alex A., Ghafourian, Taravat (2015) Comparing Multi-Label Classification Methods for Provisional Biopharmaceutics Class Prediction. Molecular Pharmaceutics, 12 (1). pp. 87-102. ISSN 1543-8384. E-ISSN 1543-8392. (KAR id:47123)

Newby, Danielle Anne (2014) Data mining methods for the prediction of intestinal absorption using QSAR. Doctor of Philosophy (PhD) thesis, University of Kent, University of Greenwich. (KAR id:47600)

+6 more...

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2014) A Compilation of Aqueous Solubility of Drugs and Drug-Like Compounds. On-Line and paper copy. Located at: European Journal of Medicinal Chemistry. (Unpublished) (KAR id:41964)

Nascimento da Silva, Pablo and Corrêa Gonçalves, Eduardo and Plastino, Alexandre and Freitas, Alex A. (2014) Distinct chains for different instances: an effective strategy for multi-label classifier chains. In: Machine Learning and Knowledge Discovery in Databases European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 453-468. ISBN 978-3-662-44850-2. E-ISBN 978-3-662-44851-9. (doi:10.1007/978-3-662-44851-9_29) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:43433)

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2013) Coping with unbalanced class data sets in oral absorption models. Journal of Chemical Information Modeling, 53 (2). pp. 461-474. ISSN 1549-9596. (doi:10.1021/ci300348u) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34287)

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2013) Pre-processing feature selection for improved C&RT models for oral absorption. Journal of Chemical Information and Modeling, 53 (10). pp. 2730-2742. ISSN 1549-9596. (doi:10.1021/ci400378j) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:38778)

Noda, Edgar and Freitas, Alex A. (2006) Discovering knowledge nuggets with a genetic algorithm. In: Triantaphyllou, Evangelos and Felici, Giovanni, eds. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Massive Computing . Springer, New York, New York (USA), pp. 395-432. ISBN 978-0-387-34294-8. (doi:10.1007/0-387-34296-6_12) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14456)

Neto, Joel Larocca and Freitas, Alex A. and Kaestner, Celso A.A. (2003) Automatic text summarization using a machine learning approach. In: Bittencourt, Guilherme and Ramalho, Geber L., eds. Advances in Artificial Intelligence 16th Brazilian Symposium on Artificial Intelligence. Lecture Notes in Computer Science . Springer, pp. 205-215. ISBN 978-3-540-00124-9. E-ISBN 978-3-540-36127-5. (doi:10.1007/3-540-36127-8_20) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13705)

Noda, Edgar and Freitas, Alex Alves and Yamakami, Akebo (2002) A Distributed-Population GA for Discovering Interesting Prediction Rules. In: Benitez, J.M. and Gordon, Oscar, eds. Advances in Soft Computing: Engineering Design and Manufacturing. Springer, London, pp. 287-296. ISBN 978-1-84996-905-5. E-ISBN 978-1-4471-3744-3. (doi:10.1007/978-1-4471-3744-3_28) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13741)

Neto, Joel Larocca and Santos, Alexandre D. and Kaestner, Celso A.A. and Freitas, Alex A. (2000) Generating Text Summaries through the Relative Importance of Topics. In: Advances in Artificial Intelligence International Joint Conference 7th Ibero-American Conference on AI 15th Brazilian Symposium on AI IBERAMIA-SBIA. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 301-309. ISBN 978-3-540-41276-2. E-ISBN 978-3-540-44399-5. (doi:10.1007/3-540-44399-1_31) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21934)

Neto, Joel Larocca, Santos, Alexandre D., Kaestner, Celso A.A., Freitas, Alex A., Nievola, Julio C. (2000) A Trainable Algorithm for Summarizing News Stories. In: Zaragoza, H. and Gallinari, P. and Rajman, M., eds. Proc. PKDD'2000 Workshop on Machine Learning and Textual Information Access. . , Lyon, France (KAR id:21963)

Noda, Edgar, Freitas, Alex A., Lopes, Heitor S. (2000) Comparing a genetic algorithm with a rule induction algorithm in the data mining task of dependence modeling. In: Proc 2000 Genetic and Evolutionary Computation Conf (GECCO-2000). 9. Morgan Kaufmann; 2000, Las Vegas, USA ISBN 1-55860-611-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21998)

Neto, Joel Larocca and Santos, Alexandre D. and Kaestner, Celso A.A. and Freitas, Alex Alves (2000) The integrated data mining tool MineKit and a case study of its application on video shop data. In: Fyfe, Colin, ed. Proceedings of the ICSC Symposia on Neural Computation. ICSC Academic Press, Millet, Alberta, Canada. ISBN 978-3-906454-21-4. (KAR id:21997)

Neto, Joel Larocca and Santos, Alexandre D. and Kaestner, Celso A.A. and Freitas, Alex A. (2000) Document Clustering and Text Summarization. In: Mackin, N., ed. Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining. The Practical Application Company, pp. 41-55. ISBN 1-902426-08-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21916)

Noda, Edgar, Freitas, Alex A., Lopes, Heitor S. (1999) Discovering Interesting Prediction Rules with a Genetic Algorithm. In: Angeline, Peter J., ed. Proceedinds of the 1999 Congress on Evolutionary Computation (CEC-99). . pp. 1322-1329. IEEE, Washington DC, USA ISBN 0-7803-5536-9. (doi:10.1109/CEC.1999.782601) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21809)

O

Ovchinnik, Sergey, Otero, Fernando E.B., Freitas, Alex A. (2022) Nested Trees for Longitudinal Classification. In: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. . ACM ISBN 978-1-4503-8713-2. (doi:10.1145/3477314.3507240) (KAR id:92832)

Ovchinnik, Sergey, Otero, Fernando E.B., Freitas, Alex A. (2019) Monotonicity Detection and Enforcement in Longitudinal Classification. In: Bramer, Max and Petridis, Miltos, eds. Lecture Notes in Artificial Intelligence. Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019 Cambridge, UK, December 17–19, 2019 Proceedings. 11927. Springer ISBN 978-3-030-34884-7. (doi:10.1007/978-3-030-34885-4_5) (KAR id:77372)

Otero, Fernando E.B., Freitas, Alex A. (2016) Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results. Evolutionary Computation, 24 (3). pp. 385-409. ISSN 1063-6560. (doi:10.1162/EVCO_a_00155) (KAR id:49076)

Otero, Fernando E.B., Freitas, Alex A. (2013) Improving the interpretability of classification rules discovered by an ant colony algorithm. In: Improving the interpretability of classification rules discovered by an ant colony algorithm. . pp. 73-80. ACM Press., New York, NY, USA. ISBN 978-1-4503-1963-8. (doi:10.1145/2463372.2463382) (KAR id:34827)

Otero, Fernando E.B., Freitas, Alex A., Johnson, Colin G. (2013) A new sequential covering strategy for inducing classification rules with ant colony algorithms. IEEE Transactions on Evolutionary Computation, 17 (1). pp. 64-76. ISSN 1089-778X. (doi:10.1109/TEVC.2012.2185846) (KAR id:34305)

Otero, Fernando E.B., Freitas, Alex A., Johnson, Colin G. (2012) Inducing decision trees with an ant colony optimization algorithm. Applied Soft Computing, 12 (11). pp. 3615-3626. ISSN 1568-4946. (doi:10.1016/j.asoc.2012.05.028) (KAR id:30832)

Otero, Fernando E.B., Johnson, Colin G., Freitas, Alex A., Thompson, Simon (2010) Refactoring in Automatically Generated Programs. In: 2nd International Symposium on Search Based Software Engineering, 7-9th September 2010, Benevento, Italy. (KAR id:71014)

Otero, Fernando E.B., Freitas, Alex A., Johnson, Colin G. (2010) A hierarchical multi-label classification ant colony algorithm for protein function prediction. Memetic Computing, 2 (3). pp. 165-181. ISSN 1865-9284. (doi:10.1007/s12293-010-0045-4) (KAR id:30634)

Otero, Fernando E.B. and Segond, Marc and Freitas, Alex A. and Johnson, Colin G. and Robilliard, Denis and Fonlupt, Cyril (2009) An empirical evaluation of the effectiveness of different types of predictor attributes in protein function prediction. In: Abraham, Ajith and Hassanien, Aboul-Ella and Snasel, Vaclav, eds. Studies in Computational Intelligence. Studies in Computational Intelligence 205, Founda . Springer, Berlin, pp. 339-357. ISBN 3-642-01535-2. (doi:10.1007/978-3-642-01536-6_13) (KAR id:24127)

Otero, Fernando E.B., Freitas, Alex A., Johnson, Colin G. (2009) Handling continuous attributes in ant colony classification algorithms. In: Proc. of the 2009 IEEE Symposium on Computational Intelligence in Data Mining (CIDM 2009). . pp. 225-231. IEEE ISBN 978-1-4244-2765-9. (doi:10.1109/CIDM.2009.4938653) (KAR id:24089)

Otero, Fernando E.B. and Freitas, Alex A. and Johnson, Colin G. (2009) A hierarchical classification ant colony algorithm for predicting gene ontology terms. In: Pizzuti, C. and Ritchie, M.D. and Giacobini, M., eds. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 7th European Conference. Lecture Notes in Computer Science, Lectur . Springer, Berlin, Germany, pp. 68-79. ISBN 978-3-642-01183-2. E-ISBN 978-3-642-01184-9. (doi:10.1007/978-3-642-01184-9_7) (KAR id:24128)

Otero, Fernando E.B. and Freitas, Alex A. and Johnson, Colin G. (2008) cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes. In: Dorigo, Marco, ed. Ant Colony Optimization and Swarm Intelligence 6th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 48-59. ISBN 978-3-540-87526-0. E-ISBN 978-3-540-87527-7. (doi:10.1007/978-3-540-87527-7_5) (KAR id:24014)

Otero, Fernando E.B. and Silva, Monique M.S and Freitas, Alex A. and Nievola, Julio C. (2003) Genetic Programming for Attribute Construction in Data Mining. In: Ryan, Conor and Keijzer, Maarten and Poli, Riccardo and Soule, Terence and Tsang, Edward and Costa, Ernesto, eds. Genetic Programming 6th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 384-393. ISBN 978-3-540-00971-9. E-ISBN 978-3-540-36599-0. (doi:10.1007/3-540-36599-0_36) (KAR id:13990)

Otero, Fernando E.B. and Silva, Monique M.S and Freitas, Alex A. (2002) Genetic Programming for Attribute Construction in Data Mining. In: Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, p. 1270. ISBN 1-55860-878-8. (KAR id:13765)

Otero, Fernando E.B., Freitas, Alex A. (2000) Sumarizacao de textos usando algoritmos de classificacao. In: Lethelier, E. and Bortolozzi, F. and Weber, K.C. and Pereira, H., eds. Proceedings of the 2000 International Symposium on Knowledge Management/Document Management (ISKM/DM-2000). . pp. 347-357. Editora Universitaria Champagnat (PUCPR), Curitiba, Brazil (KAR id:21897)

P

Paz-Ruza, Jorge, Freitas, Alex Alex, A., Alonso-Betanzo, Amparo, Guijarro-Berdinas, Bertha (2024) Positive-unlabelled learning for identifying new candidate dietary restriction-related genes among ageing-related genes. Computers in Biology and Medicine, 180 . Article Number 108999. ISSN 0010-4825. E-ISSN 1879-0534. (doi:10.1016/j.compbiomed.2024.108999) (KAR id:106858)

Pomsuwan, Tossapol, Freitas, Alex A. (2024) A genetic algorithm-based Auto-ML system for survival analysis. In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC’24). . pp. 370-377. ACM Press ISBN 979-8-4007-0243-3. (doi:10.1145/3605098.3635954) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106053)

Pomsuwan, Tossapol (2023) New variants of random forest-based methods for survival analysis and applications to biomedical datasets. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:104296)

Pomsuwan, Tossapol, Freitas, Alex A. (2022) New variations of random survival forests and applications to age-related disease data. In: Proceedings of the 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI 2022). . pp. 1-10. IEEE ISBN 978-1-6654-6845-9. (doi:10.1109/ICHI54592.2022.00013) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:95532)

Palmer, Daniel, Fabris, Fabio, Doherty, Aoife, Freitas, Alex A., de Magalhaes, João Pedro (2021) Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues. Aging, 13 (3). pp. 3313-3341. ISSN 1945-4589. (doi:10.18632/aging.202648) (KAR id:87092)

Pavelski, L, Delgado, Myriam, Kessaci, M.E., Freitas, Alex A. (2020) Stochastic local search and parameters recommendation: a case study on flowshop problems. International Transactions in Operational Research, . pp. 1-26. ISSN 1475-3995. (doi:10.1111/itor.12922) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:89542)

Pomsuwan, Tossapol, Freitas, Alex A. (2020) Adapting random forests to cope with heavily censored datasets in survival analysis. In: Proceedings of the 2020 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020). . pp. 697-702. dblp ISBN 978-2-87587-074-2. (KAR id:83340)

Pomsuwan, Tossapol, Freitas, Alex A. (2017) Feature Selection for the Classification of Longitudinal Human Ageing Data. In: 2017 IEEE International Conference on Data Mining Workshops. . pp. 739-746. IEEE, USA ISBN 978-1-5386-1480-8. E-ISBN 978-1-5386-3800-2. (doi:10.1109/ICDMW.2017.102) (KAR id:66776)

Pomsuwan, Tossapol (2017) FEATURE SELECTION FOR THE CLASSIFICATION OF LONGITUDINAL HUMAN AGEING DATA. Master of Research (MRes) thesis, University of Kent,. (KAR id:66568)

Paes, B.C., Plastino, A., Freitas, Alex A. (2014) Exploring attribute selection in hierarchical classification. Journal of Information and Data Management, 5 (1). pp. 124-133. ISSN 2178-7107. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42048)

Paes, Bruno C., Plastino, Alexandre, Freitas, Alex A. (2012) Improving local per level hierarchical classification. Journal of Information and Data Management, 3 (3). pp. 394-409. ISSN 2178-7107. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34345)

Pereira, Rafael B., Plastino, Alexandre, Zadrozny, Bianca, Merschmann, Luiz Henrique de Campos, Freitas, Alex A. (2011) Improving lazy attribute selection. Journal of Information and Data Management, 2 (3). pp. 182-196. ISSN 2178-7107. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30719)

Pereira, Rafael B., Plastino, Alexandre, Zadrozny, Bianca, Merschmann, Luiz Henrique de Campos, Freitas, Alex A. (2011) Lazy Attribute selection: Choosing attributes at classification time. Intelligent Data Analysis, 15 (5). pp. 182-196. ISSN 1088-467X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30731)

Plastino, Alexandre, Fuchshuber, Richard, Martins, Simone de L., Freitas, Alex A., Salhi, Said (2011) A hybrid data mining metaheuristic for the p-median problem. Statistical Analysis & Data Mining Journal, 4 (3). pp. 313-335. (doi:10.1002/sam.10116) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28231)

Pappa, Gisele L. and Freitas, Alex A. (2010) Creating rule ensembles from automatically-evolved rule induction algorithms. In: Advances in Machine Learning I: Dedicated to the memory of Prof. Ryszard S. Michalski. Springer, pp. 182-196. ISBN 978-3-642-05176-0. (doi:10.1007/978-3-642-05177-7) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30651)

Pappa, Gisele L., Freitas, Alex A. (2010) Automating the design of data mining algorithms: an evolutionary computation approach. Natural Computing Series . Springer ISBN 978-3-642-02540-2. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30700)

Pappa, Gisele L., Freitas, Alex A. (2009) Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowledge and Information Systems, 19 (3). pp. 283-309. ISSN 0219-1377. (doi:10.1007/s10115-008-0171-1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24110)

Pappa, Gisele L., Freitas, Alex A. (2009) Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intelligent Data Analysis, 13 (2). pp. 243-259. ISSN 1088-467X. (doi:10.3233/IDA-2009-0366) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24096)

Poli, Riccardo, Kennedy, Jim, Blackwell, Tim, Freitas, Alex A. (2008) Special Issue Editorial: Particle Swarms: the Second Decade. Journal of Artificial Evolution and Applications, 2008 . 3 pages. ISSN ISSN: 1687-6229. (doi:10.1155/2008/108972) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23982)

Pappa, Gisele L. and Freitas, Alex A. (2007) Discovering new rule induction algorithms with grammar-based genetic programming. In: Maimon, Oded and Rokach, Lior, eds. Soft Computing for Knowledge Discovery and Data Mining. Springer, New York, pp. 133-152. ISBN 978-0-387-69934-9. (doi:10.1007/978-0-387-69935-6_6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:12968)

Pappa, Gisele L. and Freitas, Alex A. (2006) Automatically Evolving Rule Induction Algorithms. In: Fuernkranz, Johannes and Scheffer, Tobias and Spiliopoulou, Myra, eds. Machine Learning: ECML 2006 17th European Conference on Machine Learning. Lecture Notes in Computer Science . Springer, Berlin, pp. 341-352. ISBN 978-3-540-45375-8. E-ISBN 978-3-540-46056-5. (doi:10.1007/11871842_34) (KAR id:14416)

Polack, Fiona A.C. and Stepney, Susan and Turner, Heather and Welch, Peter H. and Barnes, Frederick R.M. (2005) An Architecture for Modelling Emergence in CA-Like Systems. In: Capcarrere, Mathieu S. and Freitas, Alex A. and Bentley, Peter J. and Johnson, Colin G. and Timmis, Jon, eds. Advances in Artificial Life 8th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 427-436. ISBN 978-3-540-28848-0. E-ISBN 978-3-540-31816-3. (doi:10.1007/11553090_44) (KAR id:14272)

Pappa, Gisele L., Baines, Anthony J., Freitas, Alex A. (2005) Predicting Post-Synaptic Activity in Proteins with Data Mining. Bioinformatics, 21 (Suppl.). ii19-ii25. ISSN 1367-4803. (doi:10.1093/bioinformatics/bti1102) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14254)

Parpinelli, Rafael S. and Lopes, Heitor S. and Freitas, Alex A. (2005) Classification-Rule Discovery with an Ant Colony Algorithm. In: Khosrow-Pour, Mehdi, ed. Encyclopedia of Information Science and Technology. Idea Group, Hershey, pp. 420-424. ISBN 1-59140-553-X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14366)

Pappa, Gisele L. and Freitas, Alex A. and Kaestner, Celso A.A. (2004) Multi-Objective Algorithms for Attribute Selection in Data Mining. In: Coello, C.A. Coello and Lamont, Gary, eds. Applications of Multi-Objective Evolutionary Algorithms. World Scientific, pp. 603-626. ISBN 981-256-106-4. (doi:10.1142/9789812567796_0025) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14045)

Pappa, Gisele L., Freitas, Alex A. (2004) Towards a genetic programming algorithm for automatically evolving rule induction algorithms. In: Furnkranz, J., ed. Proc. ECML/PKDD-2004 Workshop on Advances in Inductive Learning. . pp. 93-108. , Pisa, Italy (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14079)

Parpinelli, Rafael S. and Lopes, Heitor S. and Freitas, Alex A. (2003) Mining comprehensible rules from data with an ant colony algorithm. In: Bittencourt, Guilherme and Ramalho, Geber L., eds. Advances in Artificial Intelligence 16th Brazilian Symposium on Artificial Intelligence. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 259-269. ISBN 978-3-540-00124-9. E-ISBN 978-3-540-36127-5. (doi:10.1007/3-540-36127-8_25) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13704)

Pappa, Gisele L. and Freitas, Alex A. and Kaestner, Celso A.A. (2002) A multiobjective genetic algorithm for attribute selection. In: Lofti, Ahmed and Garibaldi, Jon and John, Robert, eds. Proceedings Of The 4th International Conference On Recent Advances In Soft Computing. Nottingham Trent University, pp. 116-121. ISBN 1-84233-076-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13687)

Pappa, Gisele L., Freitas, Alex A., Kaestner, Celso A.A. (2002) Attribute Selection with a Multiobjective Genetic Algorithm. In: Bittencourt, Guilherme and Ramalho, Geber L., eds. Proc. 16th Brazilian Symp. on Artificial Intelligence (SBIA-2002). Lecture Notes in Artificial Intelligence 2507 , 1. pp. 280-290. Springer-Verlag, Berlin ISBN 3-540-00124-7. (doi:10.1007/3-540-36127-8_27) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13699)

Parpinelli, Rafael S. and Lopes, Heitor S. and Freitas, Alex A. (2002) An Ant Colony Algorithm for Classification Rule Discovery. In: Abbass, Hussein Aly and Sarker, Ruhul Amin and Newton, Charles S., eds. Data Mining: a Heurstic Approach. Idea Group Publishing, London, pp. 191-208. ISBN 1-930708-25-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13671)

Parpinelli, Rafael S., Lopes, Heitor S., Freitas, Alex A. (2002) Data Mining with an Ant Colony Optimization Algorithm. IEEE Transactions on Evolutionary Computation, 6 (4). pp. 321-332. ISSN 1089-778X. (doi:10.1109/TEVC.2002.802452) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13753)

Parpinelli, Rafael S. and Lopes, Heitor S. and Freitas, Alex A. (2001) An ant colony based system for data mining: applications to medical data. In: Spector, Lee E. and Goodman, Erik D., eds. Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 791-798. ISBN 1-55860-774-9. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13593)

R

Ribeiro, Caio, Freitas, Alex A. (2024) A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing. Artificial Intelligence Review, 57 (4). Article Number 84. E-ISSN 1573-7462. (doi:10.1007/s10462-024-10718-1) (KAR id:105272)

Ribeiro, Caio, Farmer, Christopher K., de Magalhães, João Pedro, Freitas, Alex A. (2023) Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features. Aging, 15 (13). pp. 6073-6099. E-ISSN 1945-4589. (doi:10.18632/aging.204866) (KAR id:102283)

Ribeiro, Caio Eduardo (2022) New Longitudinal Classification Approaches and Applications to Age-Related Disease Data. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.92963) (KAR id:92963)

Ribeiro, Caio, Freitas, Alex (2021) Constructed temporal features for longitudinal classification of human ageing data. In: Proceedings of the 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). Proceedings of the 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). . pp. 106-112. IEEE E-ISBN 978-1-6654-0132-6. (doi:10.1109/ICHI52183.2021.00027) (KAR id:91011)

Ribeiro, Caio, Freitas, Alex A. (2021) A data-driven missing value imputation approach for longitudinal datasets. Artificial Intelligence Review, . ISSN 0269-2821. E-ISSN 1573-7462. (doi:10.1007/s10462-021-09963-5) (KAR id:88186)

Ribeiro, C.E., Freitas, Alex A. (2020) A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. In: Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), Article 223. Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020). . IEEE ISBN 978-1-7281-2547-3. (KAR id:85186)

Ribeiro, C.E., Brito, L.H.S., Nobre, C.N., Freitas, Alex A., Zarate, L.E. (2017) A revision and analysis of the comprehensiveness of the main longitudinal studies of human ageing for data mining research. WIREs : Data Mining and Knowledge Discovery, 7 (3). Article Number 1202. ISSN 1942-4795. E-ISSN 1942-4795. (doi:10.1002/widm.1202) (KAR id:61246)

Romao, Wesley, Freitas, Alex A., Gimenes, Itana M. de S. (2004) Discovering interesting knowledge from a science & technology database with a genetic algorithm. Applied Soft Computing, 4 (2). pp. 121-137. ISSN 1568-4946. (doi:10.1016/j.asoc.2003.10.002) (KAR id:14173)

Romao, Wesley and Freitas, Alex A. and Pacheco-Lopez, R. (2002) A Genetic Algorithm for Discovering Interesting Fuzzy Prediction Rules: applications to science and technology data. In: Langdon, William B. and Cantu-Paz, Erick, eds. Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 1188-1195. ISBN 1-55860-878-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13763)

Romao, Wesley, Freitas, Alex A., Pacheco, R.C.S. (2000) Uma revisao de abordagens geneticodifusas para descoberta de conhecimento em banco de dados. Acta Scientiarum, 22 (5). pp. 1347-1359. ISSN 1415-6814. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21923)

S

Saunders, Jack Duke (2024) Automated Machine Learning for Positive-Unlabelled Learning. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.105558) (KAR id:105558)

Saunders, Jack, Freitas, Alex A. (2023) Evaluating a new genetic algorithm for automated machine learning in positive-unlabelled learning. In: Lecture Notes in Computer Science. Proceedings of the 15th International Conference on Artificial Evolution (Evolution Artificielle) (EA 2022). 14091. pp. 42-57. Springer ISBN 978-3-031-42615-5. E-ISBN 978-3-031-42616-2. (doi:10.1007/978-3-031-42616-2_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106054)

Saunders, Jack, Freitas, Alex A. (2022) Evaluating the predictive performance of positive-unlabelled classifiers: a brief critical review and practical recommendations for improvement. ACM SIGKDD Explorations Newsletter, 24 (2). pp. 5-11. (doi:10.1145/3575637.3575642) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:106802)

Saunders, Jack, Freitas, Alex A. (2022) GA-Auto-PU: A genetic algorithm-based automated machine learning system for Positive-Unlabeled learning. In: Proceedings of the GECCO’22 Companion (Genetic and Evolutionary Computation Conference). . pp. 288-291. ACM Press ISBN 978-1-4503-9268-6. (doi:10.1145/3520304.3528932) (KAR id:95803)

Salama, Khalid M., Abdelbar, Ashraf M., Helal, Ayah, Freitas, Alex A. (2017) Instance-based classification with ant colony optimization. Intelligent Data Analysis, 21 (4). pp. 913-944. ISSN 1088-467X. (doi:10.3233/IDA-160031) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:66669)

Salama, Khalid M., Freitas, Alex A. (2015) Ant colony algorithms for constructing Bayesian multi-net classifiers. Intelligent Data Analysis, 19 (2). pp. 233-257. ISSN 1088-467X. (doi:10.3233/IDA-150715) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50174)

Salama, Khalid M., Freitas, Alex A. (2014) Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation. Swarm and Evolutionary Computation, 18 . pp. 54-70. ISSN 2210-6502. (doi:10.1016/j.swevo.2014.05.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50098)

Salama, Khalid M., Freitas, Alex A. (2014) ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms. Memetic Computing, 6 (3). pp. 183-206. ISSN 1865-9284. (doi:10.1007/s12293-014-0138-6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:49022)

Salama, Khalid M. and Freitas, Alex A. (2013) Extending the ABC-Miner Bayesian classification algorithm. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) Learning, Optimization and Interdisciplinary Applications. Studies in Computational Intelligence . Springer, Cham, Switzerland, pp. 1-12. ISBN 978-3-319-01691-7. E-ISBN 978-3-319-01692-4. (doi:10.1007/978-3-319-01692-4_1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35628)

Salama, Khalid M., Freitas, Alex A. (2013) Learning Bayesian network classifiers using ant colony optimization. Swarm Intelligence, 7 (2-3). pp. 229-254. ISSN 1935-3812. (doi:10.1007/s11721-013-0087-6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37253)

Salama, Khalid M. and Freitas, Alex A. (2013) Clustering-based Bayesian Multi-net Classifier Construction with Ant Colony Optimization. In: 2013 IEEE Congress on Evolutionary Computation. IEEE, pp. 3079-3086. ISBN 978-1-4799-0453-2. E-ISBN 978-1-4799-0454-9. (doi:10.1109/CEC.2013.6557945) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34481)

Salama, Khalid M. and Freitas, Alex A. (2013) Investigating the Impact of Various Classification Quality Measures in the Predictive Accuracy of ABC-Miner. In: 2013 IEEE Congress on Evolutionary Computation. IEEE, pp. 2321-2328. ISBN 978-1-4799-0453-2. E-ISBN 978-1-4799-0454-9. (doi:10.1109/CEC.2013.6557846) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34480)

Salama, Khalid M., Abdelbar, Ashraf M., Otero, Fernando E.B., Freitas, Alex A. (2013) Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. Applied Soft Computing, 13 (1). pp. 667-675. ISSN 1568-4946. (doi:10.1016/j.asoc.2012.07.026) (KAR id:34346)

Salama, Khalid M. and Freitas, Alex A. (2013) ACO-based Bayesian network ensembles for the hierarchical classification of ageing-related proteins. In: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 11th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 80-91. ISBN 978-3-642-37188-2. E-ISBN 978-3-642-37189-9. (doi:10.1007/978-3-642-37189-9_8) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34306)

Salama, Khalid M. and Freitas, Alex A. (2012) ABC-Miner: an ant-based Bayesian classification algorithm. In: Swarm Intelligence 8th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 13-24. ISBN 978-3-642-32649-3. E-ISBN 978-3-642-32650-9. (doi:10.1007/978-3-642-32650-9_2) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:32165)

Salama, Khalid M., Abdelbar, Ashraf M., Freitas, Alex A. (2011) Multiple Pheromone Types and Other Extensions to the Ant-Miner Classification Rule Discovery Algorithm. Swarm Intelligence, 5 (3-4). pp. 182-196. ISSN 1935-3812. (doi:10.1007/s11721-011-0057-9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30709)

Silla Jr, Carlos N., Freitas, Alex A. (2011) Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intelligent Data Analysis, 15 (6). pp. 182-196. ISSN 1088-467X. (doi:10.3233/IDA-2011-0505) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30712)

Silla Jr, Carlos N., Freitas, Alex A. (2011) A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery, 22 (1-2). pp. 182-196. ISSN 1384-5810. (doi:10.1007/978-3-642-01799-5â??) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30773)

Secker, Andrew D., Davies, Matthew N., Freitas, Alex A., Clark, Edward, Timmis, Jon, Flower, Darren R. (2010) Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. International Journal of Data Mining and Bioinformatics, 4 (2). pp. 182-196. ISSN 1748-5673. (doi:10.1504/ijdmb.2010.032150) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30702)

Silla Jr, Carlos N. and Freitas, Alex A. (2009) A global-model naive Bayes approach to the hierarchical prediction of protein functions. In: Wang, Wei and Kargupta, Hillol and Ranka, Sanjay and Yu, Philip S. and Wu, Xindong, eds. 2009 Ninth IEEE International Conference on Data Mining. IEEE, pp. 182-196. ISBN 978-1-4244-5242-2. (doi:10.1109/ICDM.2009.85) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30573)

Silla Jr, Carlos N. and Freitas, Alex A. (2009) Novel top-down approaches for hierarchical classification and their application to automatic music genre classification. In: Chen, C.L.P. and Roberts, R., eds. 2009 IEEE International Conference on Systems, Man and Cybernetics. IEEE, pp. 182-196. ISBN 978-1-4244-2794-9. (doi:10.1109/ICSMC.2009.5346776) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30588)

Secker, Andrew D., Davies, Matthew N., Freitas, Alex A., Timmis, Jon, Clark, Edward, Flower, Darren R. (2009) An artificial immune system for clustering amino acids in the context of protein function classification. Journal of Mathematical Modelling and Algorithms, 8 . pp. 103-123. ISSN 1570-1166. (doi:10.1007/s10852-009-9107-3) (KAR id:24125)

Salhi, Said, Plastino, Alexandre, Fonseca, Erick R., Martins, Simone de L., Freitas, Alex A., Luis, Martino, Fuchshuber, Richard (2009) Hybrid data mining metaheuristic for the p median problem. In: SIAM conference, April-May 2009, Sparks, Nevada, USA. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22830)

Secker, Andrew D. and Davies, Matthew N. and Freitas, Alex A. and Timmis, Jon and Clark, Edward and Flower, Darren R. (2008) An artificial immune system for evolving amino acid clusters tailored to protein function prediction. In: Bentley, Peter J. and Lee, Doheon and Jung, Sungwon, eds. Artificial Immune Systems. Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence . Springer, pp. 242-253. ISBN 978-3-540-85071-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15659)

Secker, Andrew D., Freitas, Alex A., Timmis, Jon (2008) AISIID: An artificial immune system for interesting information discovery on the web. Applied Soft Computing, 8 (2). pp. 885-905. ISSN 1568-4946. (doi:10.1016/j.asoc.2007.07.007) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15660)

Secker, Andrew D., Davies, Matthew N., Freitas, Alex A., Timmis, Jon, Mendao, Miguel, Flower, Darren R. (2007) An experimental comparison of classification algorithms for hierarchical prediction of protein function. Expert Update (Magazine of the British Computer Society's Specialist Group on AI), 9 (3). pp. 17-22. ISSN 1465-4091. (KAR id:14529)

Secker, Andrew D. and Freitas, Alex A. (2007) WAIRS: Improving Classification Accuracy by Weighting Attributes in the AIRS Classifier. In: 2007 IEEE Congress on Evolutionary Computation. IEEE, pp. 3759-3765. ISBN 978-1-4244-1339-3. (doi:10.1109/CEC.2007.4424960) (KAR id:14546)

Smaldon, James, Freitas, Alex A. (2006) Improving the interpretability of classification rules in sparse bioinformatics datasets. In: Bramer, Max and Coenen, Frans and Tuson, Andrew, eds. Research and Development in Intelligent Systems XXIII - Proc. AI-2006. Research and Development Series (23). pp. 377-381. Springer-Verlag, New York ISBN 1-84628-662-X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14384)

Smaldon, James and Freitas, Alex A. (2006) A New Version of the Ant-Miner Algorithm Discovering Unordered Rule Sets. In: Keijzer, Maarten, ed. Proceedings of the 8th annual conference on Genetic and evolutionary computation. ACM, New York, USA, pp. 43-50. ISBN 1-59593-186-4. (doi:10.1145/1143997.1144004) (KAR id:14462)

Secker, Andrew D. (2006) Artificial Immune Systems for Web Content Mining: Focusing on the Discovery of Interesting Information. Doctor of Philosophy (PhD) thesis, University of Kent. (doi:10.22024/UniKent/01.02.14473) (KAR id:14473)

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2005) Towards a danger theory inspired artificial immune system for web mining. In: Scime, A., ed. Web Mining: applications and techniques. Idea Group, pp. 145-168. ISBN 1-59140-415-0. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14372)

Silla Jr, Carlos N. and Pappa, Gisele L. and Freitas, Alex A. and Kaestner, Celso A.A. (2004) Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. In: Lemaitre, Christian and Reyes, Carlos A. and Gonzalez, Jesus A., eds. Advances in Artificial Intelligence – IBERAMIA 2004 9th Ibero-American Conference on AI. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 305-314. ISBN 978-3-540-23806-5. E-ISBN 978-3-540-30498-2. (doi:10.1007/978-3-540-30498-2_31) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14060)

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2003) AISEC: An Artificial Immune System for E-mail Classification. In: Sarker, Ruhul Amin and Reynolds, R. and Abbass, Hussein Aly and Kay-Chen, T. and McKay, R. and Essam, D. and Gedeon, T., eds. The 2003 Congress on Evolutionary Computation. IEEE, pp. 131-139. ISBN 0-7803-7804-0. (doi:10.1109/CEC.2003.1299566) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13865)

Silla Jr, Carlos N., Kaestner, Celso A.A., Freitas, Alex A. (2003) A non-linear topic detection method for text summarization using Wordnet. In: Nunes, Maria da Graça Volpes and Aluisio, S.M. and Oliveira, L.H.M. and Teles, J.A., eds. Proc. I Workshop em Tecnologia da Informacao e Linguagem Humana. . ICMC-USP, Brazil (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13897)

Secker, Andrew D., Freitas, Alex A., Timmis, Jon (2003) A Danger Theory Approach to Web Mining. In: Timmis, Jon and Bentley, Peter J. and Hart, Emma, eds. Proceedings of the 2nd International Conference on Artificial Immune Systems. Lecture Notes in Computer Science , 2787. pp. 156-167. Springer ISBN 3-540-40766-9. (doi:10.1007/b12020) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13908)

Santos Correa, Elon and Steiner, Maria Teresinha A. and Freitas, Alex A. and Carnieri, Celso (2001) A Genetic Algorithm for the P-median Problem. In: Spector, Lee E. and Goodman, Erik D., eds. Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 1268-1275. ISBN 1-55860-774-9. (KAR id:13594)

Santos, R.T. and Nievola, Julio C. and Freitas, Alex A. (2000) Extracting comprehensible rules from neural networks via genetic algorithms. In: 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. IEEE, pp. 130-139. ISBN 0-7803-6572-0. (doi:10.1109/ECNN.2000.886228) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22030)

Santos, R.T., Nievola, Julio C., Freitas, Alex A., Lopes, Heitor S. (1999) Extracao de regras de redes neurais via algoritmos geneticos. In: Proceedings of the IV Brazilian Conference on Neural Networks. . pp. 158-163. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21811)

T

Tighe, David, Tekeli, Kemal, Gouk, Tara, Smith, Jennifer, Ho, Michael, Moody, Andrew, Walsh, Stephen, Provost, Simon, Freitas, Alex A. (2023) Machine learning methods applied to audit of surgical margins after curative surgery for facial (non-melanoma) skin cancer. The British Journal of Oral & Maxillofacial Surgery, 61 (1). pp. 94-100. ISSN 1532-1940. (doi:10.1016/j.bjoms.2022.11.280) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:99689)

Tighe, David, McMahon, Jeremy, Schilling, Clare, Ho, Michael, Provost, Simon, Freitas, Alex A. (2022) Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery. The British Journal of Oral & Maxillofacial Surgery, . ISSN 1532-1940. (doi:10.1016/j.bjoms.2022.09.007) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98476)

Tighe, D., Fabris, Fabio, Freitas, A. (2021) Machine learning methods applied to audit of surgical margins after curative surgery for head and neck cancer. British Journal of Oral and Maxillofacial Surgery, 59 (2). pp. 209-216. ISSN 0266-4356. (doi:10.1016/j.bjoms.2020.08.041) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:88179)

Tighe, D., Lewis-Morris, T., Freitas, Alex A. (2019) Machine learning methods applied to audit of surgical outcomes after treatment for cancer of the head and neck. British Journal of Oral and Maxillofacial Surgery, 57 (8). pp. 771-777. ISSN 0266-4356. (doi:10.1016/j.bjoms.2019.05.026) (KAR id:77045)

Tsunoda, Denise F., Freitas, Alex A., Lopes, Heitor S. (2011) A genetic programming method for protein motif discovery and protein classification. Soft Computing, 15 (10). pp. 182-196. ISSN 1432-7643. (doi:10.1007/s00500-010-0624-9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30727)

Tsunoda, Denise F. and Freitas, Alex A. and Lopes, Heitor S. (2009) A Genetic Programming-Based Tool for Protein Classification. In: Abraham, Ajith and Benitez, J.M. and Herrera, F. and Loia, V. and Marcelloni, F. and Senatore, S., eds. 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE, pp. 182-196. ISBN 978-1-4244-4735-0. (doi:10.1109/ISDA.2009.14) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30571)

Tsunoda, Denise F. and Lopes, Heitor S. and Freitas, Alex A. (2009) A hybrid evolutionary approach for the protein classification problem. In: Nguyen, Ngoc Thanh and Kowalczyk, Ryszard and Chen, Shyi-Ming, eds. Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems First International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 182-196. ISBN 978-3-642-04440-3. E-ISBN 978-3-642-04441-0. (doi:10.1007/978-3-642-04441-0_55) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30585)

Tsunoda, Denise F. and Lopes, Heitor S. and Freitas, Alex A. (2005) An evolutionary approach for motif discovery and transmembrane protein classification. In: Rothlauf, Franz, ed. Applications of Evolutionary Computing EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 105-114. ISBN 978-3-540-25396-9. E-ISBN 978-3-540-32003-6. (doi:10.1007/978-3-540-32003-6_11) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14348)

V

Visintin, M.A., Freitas, Alex A., Arruda, Lucia V. R. (1999) A method for the optimum solution of the permutational flowshop sequencing problem with fuzzy processing times. In: Carvalho, Maria F. and Muller, F.M., eds. Proceedings of the 15th International Conference on CAD/CAM Robotics and Factories of the Future. . MW2-1. , Brazil (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21788)

Visintin, M.A., Freitas, Alex A. (1998) Um metodo para solucao exata do problema flowshop permutacional. In: Anais do XXX SBPO (Simposio Brasileiro de Pesquisa Operacional). . pp. 311-312. , Curitiba - PR, Brazil: PUC-PR (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21584)

W

Wan, Cen, Freitas, Alex A. (2020) Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. In: PMLR (Proceedings of Machine Learning Research) 138. Proceedings of the 10th International Conference on Probabilistic Graphic Models (PGM 2020). . pp. 557-568. (doi:http://proceedings.mlr.press/v138/wan20a.html) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:89541)

Wan, Cen, Freitas, Alex A. (2017) An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features. Artificial Intelligence Review, 50 . pp. 201-240. ISSN 0269-2821. E-ISSN 1573-7462. (doi:10.1007/s10462-017-9541-y) (KAR id:61063)

Wan, Cen (2015) Novel Hierarchical Feature Selection Methods for Classification and Their Application to Datasets of Ageing-Related Genes. Doctor of Philosophy (PhD) thesis, University of Kent. (KAR id:54761)

Wan, Cen, Freitas, Alex A., de Magalhaes, João Pedro (2015) Predicting the pro-longevity or anti-longevity effect of model organism genes with new hierarchical feature selection methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12 (2). pp. 262-275. ISSN 1545-5963. (doi:10.1109/TCBB.2014.2355218) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:47996)

Wan, Cen and Freitas, Alex A. (2015) Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes. In: Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics. BCB Bioinformatics, Computational Biology and Biomedicine . ACM, New York, USA, pp. 27-36. ISBN 978-1-4503-3853-0. (doi:10.1145/2808719.2808722) (KAR id:50807)

X

Xavier-Junior, João C., Freitas, Alex A., Ludermir, Teresa B., Feitosa-Neto, Antonio, Barreto, Cephas A.S. (2020) An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results. Theoretical Computer Science, 805 . pp. 1-18. ISSN 0304-3975. (doi:10.1016/j.tcs.2019.12.002) (KAR id:79330)

Xavier-Junior, Joao C., Freitas, Alex A., Feitosa-Neto, Antonino, Ludermir, Teresa B. (2018) A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. In: IEEE Conference on Intelligent Systems. IEEE Conference on Intelligent Systems. . pp. 462-467. IEEE, USA ISBN 978-1-5386-8023-0. (doi:10.1109/BRACIS.2018.00086) (KAR id:73717)

Xavier, João C. and Canuto, Anne M.P. and Freitas, Alex A. and Gonçalves, Luis M.G. and Silla Jr, Carlos N. (2011) A hierarchical approach to represent relational data applied to clustering tasks. In: The 2011 International Joint Conference on Neural Networks. IEEE, pp. 182-196. ISBN 978-1-4244-9635-8. E-ISBN 978-1-4244-9637-2. (doi:10.1109/IJCNN.2011.6033624) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30742)

Xavier, João C. and Freitas, Alex A. and Canuto, Anne M.P. and Gonçalves, Luis M.G. (2010) Web log data clustering for a multi-agent recommendation system. In: 2010 International Conference on Machine Learning and Cybernetics. IEEE, pp. 182-196. ISBN 978-1-4244-6526-2. E-ISBN 978-1-4244-6527-9. (doi:10.1109/ICMLC.2010.5581017) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30653)

Z

Zhou, Naihui, Jiang, Yuxiang, Bergquist, Timothy R., Lee, Alexandra J., Kacsoh, Balint Z., Crocker, Alex W., Lewis, Kimberley A., Georghiou, George, Nguyen, Huy N., Hamid, Md Nafiz, and others. Davis, Larry, Dogan, Tunca, Atalay, Volkan, Rifaioglu, Ahmet S., Dalkıran, Alperen, Cetin Atalay, Rengul, Zhang, Chengxin, Hurto, Rebecca L., Freddolino, Peter L., Zhang, Yang, Bhat, Prajwal, Supek, Fran, Fernández, José M., Gemovic, Branislava, Perovic, Vladimir R., Davidović, Radoslav S., Sumonja, Neven, Veljkovic, Nevena, Asgari, Ehsaneddin, Mofrad, Mohammad R.K., Profiti, Giuseppe, Savojardo, Castrense, Martelli, Pier Luigi, Casadio, Rita, Boecker, Florian, Schoof, Heiko, Kahanda, Indika, Thurlby, Natalie, McHardy, Alice C., Renaux, Alexandre, Saidi, Rabie, Gough, Julian, Freitas, Alex A., Antczak, Magdalena, Fabris, Fabio, Wass, Mark N., Hou, Jie, Cheng, Jianlin, Wang, Zheng, Romero, Alfonso E., Paccanaro, Alberto, Yang, Haixuan, Goldberg, Tatyana, Zhao, Chenguang, Holm, Liisa, Törönen, Petri, Medlar, Alan J., Zosa, Elaine, Borukhov, Itamar, Novikov, Ilya, Wilkins, Angela, Lichtarge, Olivier, Chi, Po-Han, Tseng, Wei-Cheng, Linial, Michal, Rose, Peter W., Dessimoz, Christophe, Vidulin, Vedrana, Dzeroski, Saso, Sillitoe, Ian, Das, Sayoni, Lees, Jonathan Gill, Jones, David T., Wan, Cen, Cozzetto, Domenico, Fa, Rui, Torres, Mateo, Warwick Vesztrocy, Alex, Rodriguez, Jose Manuel, Tress, Michael L., Frasca, Marco, Notaro, Marco, Grossi, Giuliano, Petrini, Alessandro, Re, Matteo, Valentini, Giorgio, Mesiti, Marco, Roche, Daniel B., Reeb, Jonas, Ritchie, David W., Aridhi, Sabeur, Alborzi, Seyed Ziaeddin, Devignes, Marie-Dominique, Koo, Da Chen Emily, Bonneau, Richard, Gligorijević, Vladimir, Barot, Meet, Fang, Hai, Toppo, Stefano, Lavezzo, Enrico, Falda, Marco, Berselli, Michele, Tosatto, Silvio C.E., Carraro, Marco, Piovesan, Damiano, Ur Rehman, Hafeez, Mao, Qizhong, Zhang, Shanshan, Vucetic, Slobodan, Black, Gage S., Jo, Dane, Suh, Erica, Dayton, Jonathan B., Larsen, Dallas J., Omdahl, Ashton R., McGuffin, Liam J., Brackenridge, Danielle A., Babbitt, Patricia C., Yunes, Jeffrey M., Fontana, Paolo, Zhang, Feng, Zhu, Shanfeng, You, Ronghui, Zhang, Zihan, Dai, Suyang, Yao, Shuwei, Tian, Weidong, Cao, Renzhi, Chandler, Caleb, Amezola, Miguel, Johnson, Devon, Chang, Jia-Ming, Liao, Wen-Hung, Liu, Yi-Wei, Pascarelli, Stefano, Frank, Yotam, Hoehndorf, Robert, Kulmanov, Maxat, Boudellioua, Imane, Politano, Gianfranco, Di Carlo, Stefano, Benso, Alfredo, Hakala, Kai, Ginter, Filip, Mehryary, Farrokh, Kaewphan, Suwisa, Björne, Jari, Moen, Hans, Tolvanen, Martti E.E., Salakoski, Tapio, Kihara, Daisuke, Jain, Aashish, Šmuc, Tomislav, Altenhoff, Adrian, Ben-Hur, Asa, Rost, Burkhard, Brenner, Steven E., Orengo, Christine A., Jeffery, Constance J., Bosco, Giovanni, Hogan, Deborah A., Martin, Maria J., O’Donovan, Claire, Mooney, Sean D., Greene, Casey S., Radivojac, Predrag, and Friedberg, Iddo (hide) (2019) The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology, 20 . Article Number 244. ISSN 1474-760X. (doi:10.1186/s13059-019-1835-8) (KAR id:79143)