Joaquim Fernando Pinto da Costa

2017
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.
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.
2016
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.
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.
P Marques F, Fernandes C., Gaio A., Costa JP, Guilherme F.. A Sampling Methodology to Facilitate Biodiversity Assessment in Public Green Spaces. Urban Forestry and Urban Greening. 2016;20:218-226.
Melo R, Fieldhouse R, Melo A, Correia JD, Cordeiro MN, Gumus ZH, et al. A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces. International Journal of Molecular Sciences. 2016.
Oliveira A, Gaio A., Da Costa J, Reis LP. An Approach for Assessing the Distribution of Reporting Delay in Portuguese Aids Data. In: L.p. RAadeli H, editor. Advances in Intelligent Systems and Computing. Vol 445. Springer Verlag; 2016. 6. p. 641-649p. (Advances in Intelligent Systems and Computing; vol 445).
Farinha-Marques P., Fernandes C., Gaio A., Costa JP, Guilherme F.. A sampling methodology to facilitate biodiversity assessment in public green spaces. Urban Forestry & Urban Greening. 2016;20:218-226.
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.
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.
2015
da Costa JP. Rankings and Preferences. New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications Springer 2015.
da Costa JP. Rankings and Preferences Springer Berlin Heidelberg 2015.
Costa JP, J Da Costa P. Rankings and Preferences 2015.
Costa JP, Da Costa J, Roque LA, Soares C. The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.
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.
2014
Oliveira A, Costa JP, Gaio A.. The incidence of aids in portugal adjusted for reporting delay and underreporting.. In: iberian conference on information systems and technologies, cisti.; 2014.
Costa JP, Gaio A.. The incidence of AIDS in Portugal adjusted for reporting delay and underreporting. In: Iberian Conference on Information Systems and Technologies, CISTI.; 2014.
Da Costa J, Alonso H., Cardoso JS. the unimodal model for the classification of ordinal data (vol 21, pg 78, 2008). neural networks. 2014;59:73-75.
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.
2013
Sousa R, Yevseyeva I, Da Costa J, Cardoso JS. multicriteria models for learning ordinal data: a literature review. studies in computational intelligence. 2013;427:109-138.
Thomaz C., Giraldi G., Costa JP, Gillies D.. a priori-driven pca. lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). 2013;7729 lncs:236-247.
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.
2011
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;8:246-252.
De Sa C, Soares C, Jorge A, Azevedo P., Costa JP. mining association rules for label ranking. advances in knowledge discovery and data mining, pt ii: 15th pacific-asia conference, pakdd 2011. 2011;6635:432-443.
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.
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.
2010
Amaral IF, Coelho F., Da Costa J, Cardoso JS. hierarchical medical image annotation using svm-based approaches. proceedings of the ieee/embs region 8 international conference on information technology applications in biomedicine, itab. 2010.
Rao P, Da Costa J. a performance study of a consensus clustering algorithm and properties of partition graph. 2010 ieee international conference on computational intelligence and computing research, iccic 2010. 2010:27-31.
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.
Da Costa JP, Sousa R, Cardoso JS. an all-at-once unimodal svm approach for ordinal classification. proceedings - 9th international conference on machine learning and applications, icmla 2010. 2010:59-64.
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.
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.
2009
Cardoso JS, Capela A., Rebelo A, Guedes C., Da Costa J. staff detection with stable paths. ieee transactions on pattern analysis and machine intelligence. 2009;31:1134-1139.
2008
Costa JP, Rebelo C, Soares C, Da Costa J. Empirical evaluation of ranking trees on some metalearning problems. In: AAAI Workshop - Technical Report.; 2008.
Sousa M, Da Costa J. a tripartite scorecard for the pay/no pay decision-making in the retail banking industry. frontiers in artificial intelligence and applications. 2008;177:45-50.
Costa JP, Da Costa J, Alonso H., Cardoso JS. The unimodal model for the classification of ordinal data. NEURAL NETWORKS. 2008.
Da Costa J, Alonso H., Cardoso JS. the unimodal model for the classification of ordinal data. neural networks. 2008;21:78-91.
Sousa R, Cardoso JS, Da Costa J, Cardoso M.. breast contour detection with shape priors. 2008 15th ieee international conference on image processing, vols 1-5. 2008:1440-1443.
Rebelo C, Soares C, Da Costa J. empirical evaluation of ranking trees on some metalearning problems. aaai workshop - technical report. 2008;ws-08-09:85-90.
2007
Rebelo A., Capela A., da Costa J., Guedes C., Carrapatoso E., Cardoso JS. A shortest path approach for staff line detection. Delgado J., Ng K, Nesi P., Bellini P., editors 2007.
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.
Rebelo A, Capela A., Da Costa JP, Guedes C., Carrapatoso E., Cardoso JS. a shortest path approach for staff line detection. axmedis 2007: third international conference on automated production of cross media content for multi-channel distribution, proceedings. 2007:79-85.
da Costa JP, Soares C. Rejoinder to letter to the editor from C. Genest and J-F. Plante concerning `Pinto da Costa, J. & Soares, C. (2005) A weighted rank measure of correlation.' [MR2395821]. Aust. N. Z. J. Stat.. 2007;49:205-207.
Da Costa J, Soares C. rejoinder to letter to the editor from c. genest and j-f. plante concerning 'pinto da costa, j. & soares, c. (2005) a weighted rank measure of correlation.'. australian & new zealand journal of statistics. 2007;49:205-207.
Cardoso JS, da Costa JF. Learning to classify ordinal data: the data replication method. J. Mach. Learn. Res.. 2007;8:1393-1429.
J Da Costa P, Soares C. letter to the editor [2]. australian and new zealand journal of statistics. 2007;49:205-207.
2006
da Costa JF, Roque LA. Limit distribution for the weighted rank correlation coefficient, $r_W$. REVSTAT. 2006;4:189-200.
Silva H, Brito P., Da Costa J. a partitional clustering algorithm validated by a clustering tendency index based on graph theory. pattern recognition. 2006;39:776-788.
2005
Camacho R, Alves A., Da Costa J, Azevedo P.. cmb'05: workshop on computational methods in bioinformatics. 2005 portuguese conference on artificial intelligence, proceedings. 2005:129.
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;18:808-817.
Camacho R, Alves A., Da Costa J, Azevedo P.. lecture notes in artificial intelligence: introduction. lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). 2005;3808 lncs:235.
Camacho R, Alves A., da Costa J., Azevedo P.. CMB'05: Workshop on Computational Methods in Bioinformatics. Bento C., Cardoso A., Dias G., editors 2005.
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.
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.
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.
da Costa JP, Soares C. A weighted rank measure of correlation. Aust. N. Z. J. Stat.. 2005;47:515-529.
Marcal A, Borges J., Gomes J., Da Costa J. land cover update by supervised classification of segmented aster images. international journal of remote sensing. 2005;26:1347-1362.
Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697.
Cardoso JS, Da Costa J, Cardoso M.. svms applied to objective aesthetic evaluation of conservative breast cancer treatment. proceedings of the international joint conference on neural networks (ijcnn), vols 1-5. 2005;4:2481-2486.
2004
da Costa JF, Rao P.. Central partition for a partition-distance and strong pattern graph. REVSTAT. 2004;2:127-143.
2003
Brazdil P., Soares C, Da Costa J. ranking learning algorithms: using ibl and meta-learning on accuracy and time results. machine learning. 2003;50:251-277.
Torgo L., Da Costa J. clustered partial linear regression. machine learning. 2003;50:303-319.
Costa JP, Torgo L., Da Costa J. Clustered partial linear regression. MACHINE LEARNING. 2003.
2000
Costa JP, Soares C, Brazdil P., Costa JP. Measures to evaluate rankings of classification algorithms. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000.
Soares C, Brazdil P., Costa JP. measures to evaluate rankings of classification algorithms. data analysis, classification, and related methods. 2000:119-124.
Torgo L., Da Costa J. clustered multiple regression. data analysis, classification, and related methods. 2000:217-222.
Torgo L., Da Costa J. clustered partial linear regression. machine learning: ecml 2000. 2000;1810:426-436.
Costa JP, Torgo L., Da Costa J. Clustered multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000.
Costa JP, Torgo L., Da Costa J. Clustered partial linear regression. MACHINE LEARNING: ECML 2000. 2000.
1998
Costa JP, Lerman I.. ARCADE: A Prediction Method for Nominal Variables. Intelligent Data Analysis. 1998;2:265-286.
Costa JP. Mining binary attributes. Ebecken N.FF, editor 1998.
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.
Costa JP. mining binary attributes. data mining. 1998:143-157.
1996
Lerman I., DaCosta J.. Methodological developments in decision trees. An application to protein secondary structure prediction. Diday E., Lechevallier Y., Opitz O., editors 1996.
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.
Lerman I, Dacosta J. methodological developments in decision trees. an application to protein secondary structure prediction. ordinal and symbolic data analysis. 1996:179-188.
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