Joaquim Pinto da Costa
Faculdade de Ciências da Universidade do Porto
.
| 2011 | Mining Association Rules for Label Ranking |
Advances in Knowledge Discovery and Data Mining, Pt Ii: 15th Pacific-asia Conference, Pakdd 2011 | 2011 | inproceedings | ||
| 2010 | 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 | inproceedings | ||
| 2010 | An All-at-once Unimodal SVM Approach for Ordinal Classification |
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010 | 2010 | inproceedings | ||
| 2010 | 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 | inproceedings | ||
| 2009 | Staff Detection with Stable Paths |
Ieee Transactions on Pattern Analysis and Machine Intelligence | 2009 | article | ||
| 2008 | A tripartite scorecard for the pay/no pay decision-making in the retail banking industry |
Frontiers in Artificial Intelligence and Applications | 2008 | article | ||
| 2008 | Breast Contour Detection With Shape Priors |
2008 15th Ieee International Conference on Image Processing, Vols 1-5 | 2008 | inproceedings | ||
| 2008 | Empirical evaluation of ranking trees on some metalearning problems |
AAAI Workshop - Technical Report | 2008 | inproceedings | ||
| 2008 | The unimodal model for the classification of ordinal data |
Neural Networks | 2008 | article | ||
| 2007 | 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 | inproceedings | ||
| 2007 | Learning to classify ordinal data: the data replication method |
Journal of Machine Learning Research | 2007 | article | ||
| 2007 | 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 | misc | ||
| 2006 | A partitional clustering algorithm validated by a clustering tendency index based on graph theory |
Pattern Recognition | 2006 | article | ||
| 2005 | 12th Portuguese Conference on Artificial Intelligence, EPIA 2005 Covilha, Portugal, December 5-8, 2005 - Introduction |
Progress in Artificial Intelligence, Proceedings | 2005 | article | ||
| 2005 | A weighted rank measure of correlation |
Australian & New Zealand Journal of Statistics | 2005 | article | ||
| 2005 | Classification of ordinal data using neural networks |
Machine Learning: Ecml 2005, Proceedings | 2005 | article | ||
| 2005 | CMB'05: Workshop on Computational Methods in Bioinformatics |
2005 Portuguese Conference on Artificial Intelligence, Proceedings | 2005 | inproceedings | ||
| 2005 | Land cover update by supervised classification of segmented ASTER images |
International Journal of Remote Sensing | 2005 | article | ||
| 2005 | Lecture Notes in Artificial Intelligence: Introduction |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2005 | misc | ||
| 2005 | Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment |
Neural Networks | 2005 | article | ||
| 2005 | 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 | inproceedings | ||
| 2003 | Clustered partial linear regression |
Machine Learning | 2003 | article | ||
| 2003 | Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results |
Machine Learning | 2003 | article | ||
| 2000 | Clustered multiple regression |
Data Analysis, Classification, and Related Methods | 2000 | inproceedings | ||
| 2000 | Clustered partial linear regression |
Machine Learning: Ecml 2000 | 2000 | article |