Mykola Pechenizkiy

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Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Alexey TsymbalSiemens AGVerified email at siemens.com
Paul De BraProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Toon CaldersUniversity of AntwerpVerified email at uantwerpen.be
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenVerified email at uni.lu
Yulong PeiEindhoven University of TechnologyVerified email at tue.nl
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Ekaterina Pechenizkaya (Vasilyeva)Project Manager, Erasmus MCVerified email at erasmusmc.nl
George H. L. FletcherEindhoven University of TechnologyVerified email at tue.nl
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Cristobal RomeroFull Professor in University of Cordoba and member of KDIS Research GroupVerified email at uco.es
Shiwei LiuPostdoc, IFML, VITA group, The University of Texas at AustinVerified email at tue.nl
Padraig CunninghamProfessor of Knowledge and Data Engineering, University College DublinVerified email at ucd.ie
Jorn BakkerPhD Candidate, Eindhoven University of TechnologyVerified email at tue.nl
Vlado MenkovskiEindhoven University of TechnologyVerified email at tue.nl
Ghada SokarPhD candidate, Eindhoven University of TechnologyVerified email at tue.nl
Lu YinEindhoven University of TechnologyVerified email at tue.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Faisal KamiranInformation Technology University of The PunjabVerified email at itu.edu.pk

Mykola Pechenizkiy

Eindhoven University of Technology

Verified email at tue.nl - Homepage

data mining predictive analytics fairness transparency accountability


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A survey on concept drift adaptation J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia ACM computing surveys (CSUR) 46 (4), 1-37, 2014	2945	2014
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	639	2010
Predicting students drop out: A case study GW Dekker, M Pechenizkiy, JM Vleeshouwers Proceedings of the 2nd International Conference on Educational Data Mining …, 2009	610	2009
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE international conference on data mining workshops, 13-18, 2009	522	2009
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	409	2005
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	393	2016
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE international conference on data mining, 869-874, 2010	388	2010
What's your current stress level? Detection of stress patterns from GSR sensor data J Bakker, M Pechenizkiy, N Sidorova 2011 IEEE 11th international conference on data mining workshops, 573-580, 2011	364	2011
AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques E Knutov, P De Bra, M Pechenizkiy New review of hypermedia and multimedia 15 (1), 5-38, 2009	291	2009
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	288	2008
Handling concept drift in process mining RPJC Bose, WMP van der Aalst, I Žliobaitė, M Pechenizkiy Advanced Information Systems Engineering: 23rd International Conference …, 2011	281	2011
Stress detection from speech and galvanic skin response signals H Kurniawan, AV Maslov, M Pechenizkiy Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013	269	2013
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	230	2017
Dealing with concept drifts in process mining RPJC Bose, WMP Van Der Aalst, I Žliobaitė, M Pechenizkiy IEEE transactions on neural networks and learning systems 25 (1), 154-171, 2013	228	2013
Feedback loop and bias amplification in recommender systems M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke Proceedings of the 29th ACM international conference on information …, 2020	168	2020
Graph-based n-gram language identification on short texts E Tromp, M Pechenizkiy Proc. 20th Machine Learning conference of Belgium and The Netherlands, 27-34, 2011	152	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	135	2012
Process mining from educational data N Trcˇka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	125	2010
Class noise and supervised learning in medical domains: The effect of feature extraction M Pechenizkiy, A Tsymbal, S Puuronen, O Pechenizkiy 19th IEEE symposium on computer-based medical systems (CBMS'06), 708-713, 2006	124	2006
Process mining online assessment data M Pechenizkiy, N Trcka, E Vasilyeva, WMP van der Aalst, PME De Bra Educational Data Mining 2009: 2nd International Conference on Educational …, 2009	109	2009

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