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 MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyVerified email at utwente.nl
Ekaterina Pechenizkaya (Vasilyeva)Project Manager, Erasmus MCVerified email at erasmusmc.nl
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
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
Padraig CunninghamProfessor of Knowledge and Data Engineering, University College DublinVerified email at ucd.ie
Shiwei LiuPostdoc, VITA group, The University of Texas at AustinVerified email at tue.nl
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Evgeny KnutovDephionVerified email at dephion.com
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
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	2538	2014
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	599	2010
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	576	2009
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009	432	2009
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	375	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	348	2016
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE international conference on data mining, 869-874, 2010	339	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	323	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	281	2009
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	269	2008
Handling concept drift in process mining RP Bose, WMP van der Aalst, I Žliobaitė, M Pechenizkiy International Conference on Advanced Information Systems Engineering, 391-405, 2011	252	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	235	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	193	2013
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	181	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	149	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	124	2012
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	111	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	110	2006
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	103	2020
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	103	2009

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