Mykola Pechenizkiy

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Alexey TsymbalSiemens AGVerified email at siemens.com
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
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 PortoVerified email at fep.up.pt
Sebastián VenturaProfessor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Yulong PeiEindhoven University of TechnologyVerified email at tue.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
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 KnutovMediaanVerified email at mediaan.com
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Decebal Constantin MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyVerified email at utwente.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Faisal KamiranInformation Technology University of The PunjabVerified email at itu.edu.pk
Paolo SodaAssistant professor of Computer Science and Computer Engineering, Università Campus Bio-Medico di RomaVerified email at unicampus.it
Alexandr V. MaslovEindhoven University of TechnologyVerified email at tue.nl
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu
José María LunaAssistant Professor at University of CordobaVerified email at uco.es

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	1842	2014
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	523	2009
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	496	2010
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	344	2005
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009	273	2009
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	258	2009
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	257	2011
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE International Conference on Data Mining, 869-874, 2010	255	2010
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	251	2008
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	229	2016
Handling concept drift in process mining RPJC Bose, WMP van der Aalst, I Žliobaitė, M Pechenizkiy International Conference on Advanced Information Systems Engineering, 391-405, 2011	220	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	190	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	159	2013
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	148	2008
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	140	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	108	2012
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	103	2017
Dynamic integration with random forests A Tsymbal, M Pechenizkiy, P Cunningham European conference on machine learning, 801-808, 2006	98	2006
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	92	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	90	2006

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