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
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
Evgeny KnutovDephionVerified email at dephion.com
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Jorn BakkerPhD Candidate, Eindhoven University of TechnologyVerified email at tue.nl
Shiwei LiuPh.D. studuent, 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
Paolo SodaAssistant professor of Computer Science and Computer Engineering, Università Campus Bio-Medico di RomaVerified email at unicampus.it
Faisal KamiranInformation Technology University of The PunjabVerified email at itu.edu.pk
Vlado MenkovskiEindhoven University of TechnologyVerified email at tue.nl
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu

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	2384	2014
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	564	2010
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	563	2009
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009	400	2009
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	364	2005
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE international conference on data mining, 869-874, 2010	320	2010
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	313	2016
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	306	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	274	2009
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	262	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	248	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	222	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	186	2013
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	162	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	147	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	121	2012
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	108	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	107	2006
Feedback adaptation in web-based learning systems E Vasilyeva, S Puuronen, M Pechenizkiy, P Rasanen International Journal of Continuing Engineering Education and Life Long …, 2007	101	2007
Dynamic integration with random forests A Tsymbal, M Pechenizkiy, P Cunningham European conference on machine learning, 801-808, 2006	101	2006

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