Publications

Found 2268 results
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Cordeiro-da-Costa J., Oliveira O., Baía L., Gaio A., Correia-Neves M., Duarte R.. Prevalence and factors associated to Diabetes mellitus among Tuberculosis patients: a nationwide cohort. European Respiratory Journal . 2016;48:264-268.Edit
Cordovil R, Fukuda K., A. de Oliveira G. On the cocircuit graph of an oriented matroid. Discrete Comput. Geom.. 2000;24:257-265.Edit
Cordovil R, de Oliveira AG, Vergnas ML. A generalized Desargues configuration and the pure braid group. Discrete Math.. 1996;160:105-113.Edit
Cordovil R, de Oliveira AG. A note on the fundamental group of the Salvetti complex determined by an oriented matroid. European J. Combin.. 1992;13:429-437.Edit
Cordovil R, A. de Oliveira G, M. Moreira L. Parallel projection of matroid spheres. Portugal. Math.. 1988;45:337-346.Edit
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 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, Lerman I.. ARCADE: A Prediction Method for Nominal Variables. Intelligent Data Analysis. 1998;2:265-286.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, 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, 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, J Da Costa P. Rankings and Preferences 2015.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, 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, Soares C, Brazdil P., Costa JP. Measures to evaluate rankings of classification algorithms. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. 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. mining binary attributes. data mining. 1998:143-157.
[2007-19] Costa A. Infinite-vertex free profinite semigroupoids and symbolic dynamics .
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, 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

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