Costa JP, Alonso H., Cardoso JS. corrigendum to "the unimodal model for the classification of ordinal data" [neural netw. 21 (2008) 78-79] (doi:10.1016/j.neunet.2007.10.003). neural networks. 2014.Edit

Costa JP, Cardoso JS, Da Costa J, Cardoso M.. Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. NEURAL NETWORKS. 2005.Edit

Costa JP, Cruz R., Fernandes K., Costa JP, Ortiz MP, Cardoso JS. Combining ranking with traditional methods for ordinal class imbalance. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).; 2017. Edit

Costa JP, Soares C, Brazdil P., Costa JP. Measures to evaluate rankings of classification algorithms. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit

Costa JP, Da Costa J, Alonso H., Roque L. A Weighted Principal Component Analysis and Its Application to Gene Expression Data. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2011.Edit

Costa JP. mining binary attributes. data mining. 1998:143-157.

Costa JP, Rebelo A, Capela A., Da Costa JP, Guedes C., Carrapatoso E., et al. A shortest path approach for staff line detection. In: AXMEDIS 2007: THIRD INTERNATIONAL CONFERENCE ON AUTOMATED PRODUCTION OF CROSS MEDIA CONTENT FOR MULTI-CHANNEL DISTRIBUTION, PROCEEDINGS.; 2007. Edit

Costa JP, P Marques F, Fernandes C., Gaio A., Da Costa J, Guilherme F.. The sampling methodology to facilitate biodiversity assessment in public green spaces. URBAN FORESTRY & URBAN GREENING. 2016.Edit

Costa JP, Moreira I, Almeida J, Preto A, Melo R, Gumus ZH, et al. Co-evolution importance on binding Hot-Spot prediction methods. In: Proceedings of MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition.; 2017. Edit

Costa JP, Amaral IF, Coelho F., Da Costa J, Cardoso JS. Hierarchical medical image annotation using SVM-based approaches. In: Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB.; 2010. Edit

Costa JP, Roque L., Soares C. the weighted rank correlation coefficient rw2 in the case of ties. statistics and probability letters. 2015;99:20-26.Edit

Costa JP, Camacho R, Alves A., Costa JP, Azevedo P.. Introduction. In: Progress in Artificial Intelligence, 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Covilhã, Portugal, December 5-8, 2005, Proceedings.; 2005. Edit

Costa JP, Thomaz C., Giraldi G., Costa JP, Gillies D.. A priori-driven PCA. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).; 2013. Edit

Costa JP, Lerman I. arcade: a prediction method for nominal variables. intelligent data analysis. 1998;2:265-286.Edit

Costa O., Lago P, Rocha AP, Freitas J., Puig J, Carvalho M., et al. The spectral analysis of heart rate variability. A comparative study between nonparametric and parametric spectral analysis in short series . {Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology}. 1995;{14}:{621-626}.Edit

[2007-19] Costa A. Infinite-vertex free profinite semigroupoids and symbolic dynamics .

Costa JP, Torgo L., Da Costa J. Clustered partial linear regression. MACHINE LEARNING. 2003.Edit

Costa A, Delgado M, Fernandes VH. Preface [Proceedings of the International Conference on Semigroups and Related Topics]. Internat. J. Algebra Comput.. 2011;21:v–vi.Edit

Costa JP, Cruz R., Fernandes K., Cardoso JS, Costa JP. Tackling Class Imbalance with Ranking. In: 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN).; 2016. Edit

Costa JP, Costa JP. Mining binary attributes. In: DATA MINING.; 1998.

Costa JP, Da Costa JP, Sousa R, Cardoso JS. An all-at-once unimodal SVM approach for ordinal classification. In: Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010.; 2010. Edit

Costa JP, Torgo L., Da Costa J. Clustered partial linear regression. MACHINE LEARNING: ECML 2000. 2000.Edit

Costa JP, J Da Costa P, Alonso H., Cardoso JS. Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Netw. 21, (2008) 78-79] DOI: 10.1016/j.neunet.2007.10.003. 2014.Edit

Costa JP, Da Costa J, Alonso H., Cardoso JS. The unimodal model for the classification of ordinal data. NEURAL NETWORKS. 2008.Edit

Costa JP, Cardoso JS, Da Costa J, Cardoso M.. SVMs applied to objective aesthetic evaluation of conservative breast cancer treatment. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5.; 2005. Edit