Publications

Found 21 results
Author Title Type [ Year(Asc)]
Filters: Author is Da Costa, Jp  [Clear All Filters]
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. 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, 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
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.Edit
2005
Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697.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
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
2000
Costa JP, Torgo L., Da Costa J. Clustered multiple regression. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. 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: ECML 2000. 2000.Edit
Torgo L., Da Costa J. clustered partial linear regression. machine learning: ecml 2000. 2000;1810:426-436.Edit