Ad Feelders
Ad Feelders is assistant professor at Utrecht University, Department of Information and Computing Sciences, since January 2001. He has worked as a consultant for a data mining company, where he was in charge of projects for banking and insurance firms. Before coming to Utrecht he was an assistant professor at the department of Economics of Tilburg University in The Netherlands. His research focusses on data mining and machine learning, with a special emphasis on learning with monotonicity constraints.

Educational Activities

Learning from Data 2008, 2007, 2006
Advanced Data Mining 2008, 2007, 2006
Data Mining 2007

Selected Bookchapters

2008
Feelders, A. Credit Scoring, Chapter of: T. Rudas (ed.) Handbook of Probability: Theory and Applications, Sage, Los Angeles, 2008.

Selected Refereed Publications

2012
Duivesteijn, W., Feelders, A., Knobbe, A. Different Slopes for Different Folks - Mining for Exceptional Regression Models with Cook's Distance. In: Proceedings KDD 2012, 2012.
2010
Duivesteijn, W., Knobbe, A.J., Feelders, A. & van Leeuwen, M. Subgroup Discovery meets Bayesian networks – an Exceptional Model Mining approach. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), 2010.
Feelders, A. Monotone Relabeling in Ordinal Classification. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), 2010.
Kamphuis, C., Mollenhorst, E., Feelders, A., Pietersma, D. & Hogeveen, H. Decision-tree induction to detect clinical mastitis with automatic milking. In: Computers and Electronics in Agriculture, vol.70(1), pp 60-68, 2010.
2009
Barile, N. & Feelders, A. Nonparametric Ordinal Classification with Monotonicity Constraints. In: MoMo 2009, ECML PKDD'09 Workshop on Learning Monotone Models from Data, 2009.
van de Kamp, R., Feelders, A. & Barile, N. Isotonic Classification Trees. In: N. Adams, C. Robardet, A. Siebes & J.-F. Boulicaut (eds.) Advances in Intelligent Data Analysis VIII (IDA'09), Springer, pp 405-416, 2009.
van der Gaag, L.C., Renooij, S., Feelders, A., de Groote, A., Eijkemans, M.J.C., Broekmans, F.J. & Fauser, B.C.J.M. Aligning Bayesian Network Classifiers with Medical Contexts. In: Proceedings of the MLDM'09, 2009.
2008
Barile, N. & Feelders, A. Nonparametric Monotone Classification with MOCA. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), 2008.
Duivesteijn, W. & Feelders, A. Nearest Neighbour Classification with Monotonicity Constraints. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2008 Part I (ECML PKDD'08), pp 301-316, 2008.
Leman, D., Feelders, A. & Knobbe, A. Exceptional Model Mining. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2008 Part II (ECML PKDD'08), pp 1-16, 2008.
2007
De Knijf, J. & Feelders, A. Choosing the Right Patterns: An Experimental Comparison between Different Tree Inclusion Relations. In: D. Malerba, A. Appice and M. Ceci (editors), 6th Workshop on Multi-Relational Data Mining (MRDM'07), 2007.
Feelders, A. & van Straalen, R. Parameter Learning for Bayesian Networks with Strict Qualitative Influences. In: M.R. Berthold, J. Shawe-Taylor, N. Lavrac (eds.) Advances in Intelligent Data Analysis VII (IDA'07), Springer, pp 48-58, 2007.
Feelders, A. A new Parameter Learning Method for Bayesian Networks with Qualitative Influences. In: R.Parr, L.C. van der Gaag (eds.) Proceedings of Uncertainty in Artificial Intelligence 2007 (UAI'07), AUAI Press, Corvallis (Oregon), pp 117-124, 2007.
2006
Feelders, A. & Ivanovs, J. Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. In: M. Studeny and J. Vomlel (eds.) Proceedings of the third European workshop on Probabilistic Graphical Models (PGM'06), pp 75-82, 2006.
2004
De Knijf, J. & Feelders, A. Monotone Constraints in Frequent Tree Mining. In: M. van Otterlo, M. Poel and A. Nijholt (editors), Proceedings of the 14th Annual Machine Learning Conference of Belgium and the Netherlands (BeneLearn'04) , 2004.

Selected Unrefereed Publications

2011
Knobbe, A., Feelders, A., Leman, D. Exceptional Model Mining, Data Mining: Foundations and Intelligent Paradigms 2, Holmes, D., Jain, L. (eds.), 2011.
2010
Feelders, A. A Decomposition of the Isotonic Regression, Technical Report UU-CS-2010-009, Institute for Information and Computing Sciences, Universiteit Utrecht, 2010.
2008
Feelders, A. Credit Scoring, Chapter of: T. Rudas (ed.) Handbook of Probability: Theory and Applications, Sage, Los Angeles, 2008.
2006
Feelders, A., Velikova, M. & Daniels, H. Two polynomial algorithms for relabeling non-monotone data, Technical Report UU-CS-2006-046, Universiteit Utrecht, 2006.