Browse by Person (creator, editor, contributor, etc.)
Up a level |
Number of items: 23.
Oliveira, Luiz O.V.B. and Otero, Fernando E.B. and Pappa, Gisele L. (2018) A Generic Framework for Building Dispersion Operators in the Semantic Space. In: Genetic Programming Theory and Practice XIV. Genetic and Evolutionary Computation . Springer, pp. 179-195. ISBN 978-3-319-97088-2. E-ISBN 978-3-319-97087-5. (doi:https://doi.org/10.1007/978-3-319-97088-2_12) (Full text available) |
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:https://doi.org/10.1007/978-3-319-99259-4_25) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) |
de Sa, A.G.C. and Pappa, Gisele L. and Freitas, Alex A. (2017) Towards a method for automatically selecting and configuring multi-label classification algorithms. In: Towards a Method for Automatically Selecting and Configuring Multi-Label Classification Algorithms. GECCO'17 Companion - Proceedings of the 2017 Genetic and Evolutionary Computation Conference Companion. ACM Press pp. 1125-1132. ISBN 978-1-4503-4939-0. (doi:https://doi.org/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) |
Oliveira, Luiz O.V.B. and Miranda, Luis F. and Pappa, Gisele L. and Otero, Fernando E.B. and Takahashi, Ricardo H.C. (2016) Reducing Dimensionality to Improve Search in Semantic Genetic Programming. In: PPSN 2016: Parallel Problem Solving from Nature – PPSN XIV. Lecture Notes in Computer Science (LNCS). Springer pp. 375-385. ISBN 978-3-319-45822-9. E-ISBN 978-3-319-45823-6. (doi:https://doi.org/10.1007/978-3-319-45823-6_35) (Full text available) |
Oliveira, Luiz O.V.B. and Otero, Fernando E.B. and Pappa, Gisele L. (2016) A Dispersion Operator for Geometric Semantic Genetic Programming. In: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation. ACM Press pp. 773-780. (doi:https://doi.org/10.1145/2908812.2908923) (Full text available) |
Oliveira, Luiz O.V.B. and Otero, Fernando E.B. and Miranda, Luis F. and Pappa, Gisele L. (2016) Revisiting the Sequential Symbolic Regression Genetic Programming. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS). pp. 163-168. ISBN 978-1-5090-3566-3. (doi:https://doi.org/10.1109/BRACIS.2016.039) (Full text available) |
Albinati, Julio and Oliveira, Samuel and Otero, Fernando E.B. and Pappa, Gisele L. (2015) An ant colony-based semi-supervised approach for learning classification rules. Swarm Intelligence, 9 (4). pp. 315-341. ISSN 1935-3812. E-ISSN 1935-3820. (doi:https://doi.org/10.1007/s11721-015-0116-8) (Full text available) |
Oliveira, Luiz O.V.B. and Otero, Fernando E.B. and Pappa, Gisele L. and Albinati, Julio (2015) Sequential Symbolic Regression with Genetic Programming. In: Worzel, Bill and Kotanchek, Mark and Riolo, Rick, eds. Genetic Programming Theory and Practice XII. Genetic and Evolutionary Computation . Springer, pp. 73-90. ISBN 978-3-319-16029-0. E-ISBN 978-3-319-16030-6. (doi:https://doi.org/10.1007/978-3-319-16030-6_5) (Full text available) |
Albinati, Julio and Pappa, Gisele L. and Otero, Fernando E.B. (2015) The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems. In: Genetic Programming: 18th European Conference, EuroGP 2015 Copenhagen, Denmark, April 8–10, 2015 Proceedings. Genetic Programming. Lecture Notes in Computer Science. pp. 3-15. ISBN 978-3-319-16500-4. E-ISBN 978-3-319-16501-1. (doi:https://doi.org/10.1007/978-3-319-16501-1_1) (Full text available) |
Cerri, Ricardo and Pappa, Gisele L. and de Carvalho, Andre C.P.L.F. and 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) |
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:https://doi.org/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) |
Pappa, Gisele L. and 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) |
Pappa, Gisele L. and 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:https://doi.org/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) |
Pappa, Gisele L. and 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:https://doi.org/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) |
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:https://doi.org/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) |
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. Lecture Notes in Computer Science, 4212 . Springer Berlin / Heidelberg, Berlin, pp. 341-352. ISBN 978-3-540-45375-8. (doi:https://doi.org/10.1007/11871842_34) (Full text available) |
Pappa, Gisele L. and Baines, Anthony J. and Freitas, Alex A. (2005) Predicting Post-Synaptic Activity in Proteins with Data Mining. Bioinformatics, 21 (Suppl.). ii19-ii25. ISSN 1367-4803. (doi:https://doi.org/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) |
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. (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) |
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. 9th Ibero-American Conference on Artifical Intelligence. Lecture Notes in Computer Science, 3315. Springer pp. 305-314. ISBN 3-540-23806-9. (doi:https://doi.org/10.1007/b102591) (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) |
Pappa, Gisele L. and 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. , Pisa, Italy pp. 93-108. (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) |
Pappa, Gisele L. (2002) Multiobjective Genetic Algorithms for Attribute Selection. Other masters thesis, Pontificia Universidade Catolica do Parana - 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) |
Pappa, Gisele L. and Freitas, Alex A. and Kaestner, Celso A.A. (2002) A multiobjective genetic algorithm for attribute selection. In: Lofti, A. and Garibaldi, J. and John, R., eds. Proc. 4th Int. Conf. on Recent Advances in Soft Computing (RASC-2002). 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) |
Pappa, Gisele L. and Freitas, Alex A. and 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. Springer-Verlag, Berlin pp. 280-290. ISBN 3-540-00124-7. (doi:https://doi.org/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) |