Toon Calders
Toon Calders
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Three naive bayes approaches for discrimination-free classification
T Calders, S Verwer
Data mining and knowledge discovery 21 (2), 277-292, 2010
Data preprocessing techniques for classification without discrimination
F Kamiran, T Calders
Knowledge and Information Systems 33 (1), 1-33, 2012
Mining all non-derivable frequent itemsets
T Calders, B Goethals
European Conference on Principles of Data Mining and Knowledge Discovery, 74-86, 2002
Building classifiers with independency constraints
T Calders, F Kamiran, M Pechenizkiy
2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009
Classifying without discriminating
F Kamiran, T Calders
Computer, Control and Communication, 2009. IC4 2009. 2nd International …, 2009
Discrimination aware decision tree learning
F Kamiran, T Calders, M Pechenizkiy
2010 IEEE International Conference on Data Mining, 869-874, 2010
Non-derivable itemset mining
T Calders, B Goethals
Data Mining and Knowledge Discovery 14 (1), 171-206, 2007
A survey on condensed representations for frequent sets
T Calders, C Rigotti, JF Boulicaut
Constraint-based mining and inductive databases, 64-80, 2006
Mining frequent itemsets in a stream
T Calders, N Dexters, JJM Gillis, B Goethals
Information Systems 39, 233-255, 2014
Classification with no discrimination by preferential sampling
F Kamiran, T Calders
Proc. 19th Machine Learning Conf. Belgium and The Netherlands, 1-6, 2010
Why unbiased computational processes can lead to discriminative decision procedures
T Calders, I ®liobaitė
Discrimination and privacy in the information society, 43-57, 2013
Handling conditional discrimination
I ®liobaite, F Kamiran, T Calders
2011 IEEE 11th International Conference on Data Mining, 992-1001, 2011
Mining compressing sequential patterns
HT Lam, F Mörchen, D Fradkin, T Calders
Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (1), 34-52, 2014
Controlling attribute effect in linear regression
T Calders, A Karim, F Kamiran, W Ali, X Zhang
2013 IEEE 13th international conference on data mining, 71-80, 2013
Introduction to the special section on educational data mining
T Calders, M Pechenizkiy
Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012
Discrimination and privacy in the information society
BHM Custers, T Calders, BW Schermer, TZ Zarsky
Studies in applied philosophy, epistemology and rational ethics 1866, 2013
Efficient AUC optimization for classification
T Calders, S Jaroszewicz
European Conference on Principles of Data Mining and Knowledge Discovery, 42-53, 2007
Applying webmining techniques to execution traces to support the program comprehension process
A Zaidman, T Calders, S Demeyer, J Paredaens
Ninth European Conference on Software Maintenance and Reengineering, 134-142, 2005
Drawbacks and solutions of applying association rule mining in learning management systems
E García, C Romero, S Ventura, T Calders
Proceedings of the International Workshop on Applying Data Mining in e …, 2007
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
F Kamiran, I ®liobaitė, T Calders
Knowledge and information systems 35 (3), 613-644, 2013
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