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
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Toon CaldersUniversity of AntwerpVerified email at uantwerpen.be
Yulong PeiEindhoven University of TechnologyVerified email at tue.nl
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenVerified email at uni.lu
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
Cristobal RomeroFull Professor in University of Cordoba and member of KDIS Research GroupVerified email at uco.es
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
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
Evgeny KnutovDephionVerified email at dephion.com
Vlado MenkovskiEindhoven University of TechnologyVerified email at tue.nl
Ghada SokarPhD candidate, Eindhoven 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
Lu YinEindhoven University of TechnologyVerified email at tue.nl

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	2800	2014
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	615	2010
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	598	2009
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE international conference on data mining workshops, 13-18, 2009	475	2009
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	378	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	374	2016
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE international conference on data mining, 869-874, 2010	366	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	349	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	284	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	270	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	261	2013
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	215	2013
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	210	2017
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	154	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	133	2012
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	125	2020
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	121	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	121	2006
Process Mining Online Assessment Data. M Pechenizkiy, N Trcka, E Vasilyeva, W Van der Aalst, P De Bra International Working Group on Educational Data Mining, 2009	108	2009

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