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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, 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

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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, Oliveira A, Gaio A., Da Costa J, Reis LP. An approach for assessing the distribution of reporting delay in Portuguese AIDS data. In: Advances in Intelligent Systems and Computing.; 2016. Edit

Costa JP. Mining binary attributes. Ebecken N.FF, editor 1998.Edit

Costa JP, Rao P, Da Costa J. A performance study of a consensus clustering algorithm and properties of partition graph. In: 2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010.; 2010. 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, Da Costa J, Roque LA, Soares C. The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.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, 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 JP, Lerman I.. ARCADE: A Prediction Method for Nominal Variables. Intelligent Data Analysis. 1998;2:265-286.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, Torgo L., Da Costa J. Clustered multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit

Costa JP, J Da Costa P. Rankings and Preferences 2015.Edit

Costa JP, Lerman I, Dacosta J. Methodological developments in decision trees. An application to protein secondary structure prediction. In: ORDINAL AND SYMBOLIC DATA ANALYSIS.; 1996. 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