Cortés J., Almeida R, Olmos S., Rocha AP, Laguna P. Stability of QT measurements in the PTB database depending on the selected lead. In: {Computers in Cardiology}. Vol {33}.; 2006. {. {p. 341-344p. }.Edit

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

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

Costa JP, Da Costa J, Roque LA, Soares C. The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.Edit

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

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

Costa JP, Torgo L., Da Costa J. Clustered multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit

Costa JP, Melo R, Fieldhouse R, Melo A, Correia JD, Cordeiro MN, et al. A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 2016.Edit

Costa CA, Gaio A., de Campos DA, Bernardes J. Longitudinal Changes of Cardiotocographic Parameters Throughout Pregnancy: a Prospective Cohort Study Comparing Small-For-Gestational-Age and Normal Fetuses from 24 to 40 Weeks. Journal of Perinatal Medicine. 2017;45(4):493-501.Edit

Costa JP, De Sa C, Soares C, Jorge A, Azevedo P., Costa JP. Mining Association Rules for Label Ranking. In: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011.; 2011. 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. Mining binary attributes. Ebecken N.FF, editor 1998.Edit

Costa JP, J Da Costa P. Rankings and Preferences 2015.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, Rebelo C, Soares C, Da Costa J. Empirical evaluation of ranking trees on some metalearning problems. In: AAAI Workshop - Technical Report.; 2008. Edit

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

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, 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, 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, Lerman I.. ARCADE: A Prediction Method for Nominal Variables. Intelligent Data Analysis. 1998;2:265-286.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, 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, 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

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, 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