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 multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit

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

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.Edit

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.Edit

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.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

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.Edit

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.Edit

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.Edit

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.Edit

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.Edit

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.Edit

Torgo L., Da Costa J. clustered partial linear regression. machine learning. 2003;50:303-319.Edit

Torgo L., Da Costa J. clustered partial linear regression. machine learning: ecml 2000. 2000;1810:426-436.Edit

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

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

Torgo L., Da Costa J. clustered multiple regression. data analysis, classification, and related methods. 2000:217-222.Edit

Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697.Edit