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Number of items: 11.

Article

Paes, Bruno C. and Plastino, Alexandre and 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)

Pereira, Rafael B. and Plastino, Alexandre and Zadrozny, Bianca and Merschmann, Luiz Henrique de Campos and 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)

Pereira, Rafael B. and Plastino, Alexandre and Zadrozny, Bianca and Merschmann, Luiz Henrique de Campos and 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)

Plastino, Alexandre and Fuchshuber, Richard and Martins, Simone de L. and Freitas, Alex A. and Salhi, Said (2011) A hybrid data mining metaheuristic for the p-median problem. Statistical Analysis & Data Mining Journal, 4 (3). pp. 313-335. (doi:https://doi.org/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)

Conference or workshop item

Freitas, Alex A. and Pinto Junior, Jony A. and Plastino, Alexandre and 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:https://doi.org/10.5753/eniac.2018.4407) (Full text available)

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da Silva, P.N. and Plastino, Alexandre and 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:https://doi.org/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)

Martire, I. and da Silva, P.N. and Plastino, Alexandre and Fabris, Fabio and Freitas, Alex A. (2017) A novel probabilistic Jaccard distance measure for classification of sparse and uncertain data. In: Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe). pp. 81-88. (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)

Goncalves, E.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 Conference on Genetic and Evolutionary Computation Conference (GECCO-2015). ACM Press pp. 559-566. ISBN 978-1-4503-3472-3. (Full text available)

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Goncalves, E.C. and Plastino, Alexandre and Freitas, Alex A. (2013) A Genetic Algorithm for Optimizing the Label Ordering in Multi-Label Classifier Chains. In: Proceedings of the 2013 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). IEEE Computer Society Conference Publishing Services (CPS) pp. 469-476. ISBN 978-1-4799-2971-9. (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)

Salhi, Said and Plastino, Alexandre and Fonseca, Erick R. and Martins, Simone de L. and Freitas, Alex A. and Luis, Martino and Fuchshuber, Richard (2009) Hybrid data mining metaheuristic for the p median problem. In: SIAM conference, April-May 2009, Sparks, Nevada. (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)

Alves, Roberto T. and Delgado, Myriam and Camargo, F. and Benelli, E. and 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). Sociedade Brasileira de Computacao pp. 87-90. 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)

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