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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. |
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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. |
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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. |
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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. |
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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. |
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da Costa JP, Soares C. A weighted rank measure of correlation. Aust. N. Z. J. Stat.. 2005;47:515-529. |
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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. |
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Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697. |
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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. |
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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. |
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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. |
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