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dr. C.F. Pinho Rebelo de Sá (Claudio)

Researcher

Expertise

Labels
Ranking
Association Rules
Decision Tree
Decision Trees
Entropy
Discretization
Attribute
Ranking
Tree Algorithms
Entropy
Interval
Discretization
Entropy
Mining
Discretization Method
Association Rule Mining

Publications

Recent
de Sá, C. R., Azevedo, P., Soares, C., Jorge, A. M., & Knobbe, A. (2018). Preference rules for label ranking: Mining patterns in multi-target relations. Information Fusion, 40, 112-125. DOI: 10.1016/j.inffus.2017.07.001
de Sá, C. R., Duivesteijn, W., Azevedo, P., Jorge, A. M., Soares, C., & Knobbe, A. (2018). Discovering a taste for the unusual: exceptional models for preference mining. Machine Learning. DOI: 10.1007/s10994-018-5743-z
de Sá, C. R., Soares, C., Knobbe, A., & Cortez, P. (2017). Label Ranking Forests. Expert systems, 34(1), [e12166]. DOI: 10.1111/exsy.12166
de Sá, C. R., Duivesteijn, W., Soares, C., & Knobbe, A. (2016). Exceptional preferences mining. In T. Calders, M. Ceci, & D. Malerba (Eds.), Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings (pp. 3-18). (Lecture Notes in Computer Science; Vol. 9956), (Lecture Notes in Artificial Intelligence). Springer. DOI: 10.1007/978-3-319-46307-0_1
De Sá, C. R., Soares, C., & Knobbe, A. (2016). Entropy-based discretization methods for ranking data. Information sciences, 329, 921-936. DOI: 10.1016/j.ins.2015.04.022
de Sá, C. R., Rebelo, C., Soares, C., & Knobbe, A. (2015). Distance-based decision tree algorithms for label ranking. In Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings (pp. 525-534). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9273). Springer Verlag. DOI: 10.1007/978-3-319-23485-4_52
De Sá, C. R., Soares, C., Knobbe, A., Azevedo, P., & Jorge, A. M. (2013). Multi-interval discretization of continuous attributes for label ranking. In J. Fürnkranz, E. Hüllermeier, & T. Higuchi (Eds.), Discovery Science: 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings (pp. 155-169). (Lecture Notes in Computer Science; Vol. 8140), (Lecture Notes in Artificial Intelligence). Berlin, Heidelberg: Springer. DOI: 10.1007/978-3-642-40897-7_11

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Zilverling (building no. 11)
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Zilverling
P.O. Box 217
7500 AE Enschede
The Netherlands