Items where Author, Editor or other role is "Fabris, Fabio"

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Number of items: 26.

D

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 Oliveira, Marcelo V. and Wandekokem, Estefhan D. and Mendel, Eduardo and Fabris, Fabio and Varejao, Flavio M. and Rauber, Thomas W. and Batista, Rodrigo J. (2010) A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. In: 2010 22nd IEEE International Conference on Tools with Artificial Intelligence. IEEE, pp. 417-420. ISBN 978-1-4244-8817-9. (doi:10.1109/ICTAI.2010.66) (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:37377)

de Oliveira, Marcelo V. and Estefhan, D. Wandekokem and Mendel, Eduardo and Fabris, Fabio and Flavio, M. Varejao and Thomas, W. Rauber and Rodrigo, J. Batista (2010) Constructing feature-based ensemble classifiers for real-world machines fault diagnosis. In: IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society. IEEE, pp. 1099-1104. ISBN 978-1-4244-5225-5. E-ISBN 978-1-4244-5226-2. (doi:10.1109/IECON.2010.5675522) (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:37379)

de Oliveira Santos, Raphael and Fabris, Fabio and Martinello, Magnos and Marcondes, Cesar (2008) JoinUs: Management of Mobile Social Networks for Pervasive Collaboration. In: 2008 Simpósio Brasileiro de Sistemas Colaborativos. IEEE. ISBN 978-0-7695-3500-5. (doi:10.1109/SBSC.2008.14) (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:37385)

F

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 (2018) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics. International Journal of Computer and Information Engineering, 12 (7). ISSN 2010-3921. (KAR id:69105)

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)

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)

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)

Fabris, Fabio, Krohling, Renato A. (2012) A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA. Expert Systems with Applications, 39 (12). 10324 - 10333. ISSN 0957-4174. (doi:10.1016/j.eswa.2011.10.015) (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:37371)

Fabris, Fabio and Margoto, Letícia Rosetti and Varejao, Flavio Miguel (2009) Novel Approaches for Detecting Frauds in Energy Consumption. In: 2009 Third International Conference on Network and System Security. IEEE, pp. 546-551. ISBN 978-1-4244-5087-9. E-ISBN 978-0-7695-3838-9. (doi:10.1109/NSS.2009.17) (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:37380)

Fabris, Fabio, Drago, Idilio, Varejao, Flavio M. (2008) A Multi-measure Nearest Neighbor Algorithm for Time Series Classification. In: Proceedings of the 11th Ibero-American Conference on AI. Lecture Notes in Computer Science , 5290. pp. 153-162. Springer Berlin Heidelberg (doi:10.1007/978-3-540-88309-8_16) (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:37376)

M

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)

P

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)

R

Rizzi Raymundo, Caroline, Johnson, Colin G., Fabris, Fabio, Vargas, Patricia A. (2016) A Situation-Aware Fear Learning (SAFEL) Model for Robots. Neurocomputing, 221 . pp. 32-47. ISSN 0925-2312. (doi:10.1016/j.neucom.2016.09.035) (KAR id:58076)

T

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)

V

Venturini, G., Fabris, Fabio, Ferro, R. M., Varejao, Flavio M., Loureiros, A. (2013) Otimização Amostral para Obtenção da Matriz de Perdas Não-Técnicas. In: UNSPECIFIED. (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:37381)

Venturini, G., Fabris, Fabio, Varejao, Flavio M., Ferro, R. M. (2012) A Clustering-Based Approach for Estimating Energy Loss from Non-Metered Installations. In: Proceedings of the 4th Asia-Pacific Power and Energy Engineering Conference, 2012. . (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:37382)

Varejao, Flavio M., Fabris, Fabio, Wandekokem, Estefhan D. (2010) Applying heuristics on the feature selection of fault diagnosis in motor-pumps. In: UNSPECIFIED. (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:37386)

W

Wandekokem, Estefhan D., Mendel, Eduardo, Fabris, Fabio, Valentim, Marcelo, Batista, Rodrigo J., Varejao, Flavio M., Rauber, Thomas W. (2011) Diagnosing Multiple Faults in Oil Rig Motor Pumps Using Support Vector Machine Classifier Ensembles. In: Integrated Computer-Aided Engineering. 18 (1). pp. 61-74. IOS Press, Amsterdam, The Netherlands, The Netherlands (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:37375)

Wandekokem, Estefhan D., Mendel, Eduardo, Fabris, Fabio, Rauber, Thomas W., Batista, Rodrigo J., Flavio, M. Varejao (2010) Data-driven Fault Diagnosis of Oil Rig Motor Pumps Using a Novel Multiple Classifier System. In: Diagnostics for Electric Machines, Power Electronics and Drives. SDEMPED 2009. (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:37383)

This list was generated on Tue Dec 24 19:45:16 2024 GMT.