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
Yulong PeiEindhoven University of TechnologyVerified email at tue.nl
Sebastián VenturaProfessor 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
Decebal Constantin MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyVerified email at utwente.nl
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
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu
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
Shiwei LiuPh.D. studuent, Eindhoven University of TechnologyVerified email at tue.nl
Alexandr V. MaslovEindhoven 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	2072	2014
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	546	2009
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	528	2010
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	357	2005
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009	333	2009
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE International Conference on Data Mining, 869-874, 2010	292	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	281	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	269	2009
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	267	2016
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	255	2008
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	234	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	204	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	174	2013
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	154	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	145	2011
On formalizing fairness in prediction with machine learning P Gajane, M Pechenizkiy arXiv preprint arXiv:1710.03184, 2017	131	2017
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	113	2012
Dynamic integration with random forests A Tsymbal, M Pechenizkiy, P Cunningham European conference on machine learning, 801-808, 2006	102	2006
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	99	2006
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	98	2010

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