Publications

Found 21 results
Author Title [ Type(Desc)] Year
Filters: Author is Da Costa, Jp  [Clear All Filters]
Articles in international peer reviewed journals
Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697.Edit
Torgo L., Da Costa J. clustered multiple regression. data analysis, classification, and related methods. 2000:217-222.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 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
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
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.. 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
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
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
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
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
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
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
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
Costa JP, Da Costa J, Roque LA, Soares C. The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.Edit
Proceedings of international conferences (peer reviewed)
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
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, Torgo L., Da Costa J. Clustered multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. 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
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