Anton Yeshchenko

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Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinVerified email at hu-berlin.de
Artem PolyvyanyySchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Claudio Di CiccioSapienza University of Rome, Department of Computer ScienceVerified email at di.uniroma1.it
Chiara GhidiniHead of Unit, Fondazione Bruno KesslerVerified email at fbk.eu
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Giulio PetrucciSoftware Engineer at GoogleVerified email at google.com
Chiara Di FrancescomarinoFondazione Bruno Kessler - Trento, ItalyVerified email at fbk.eu
Kate RevoredoAssistant Professor at Vienna University of Economics and Business (WU)Verified email at wu.ac.at
Flavia Maria SantoroUniversidade do Estado do Rio de JaneiroVerified email at ime.uerj.br
Fernando Cardoso Durier da SilvaUniversidade Federal do Estado do Rio de Janeiro - UNIRIOVerified email at uniriotec.br
Philipp WaibelVienna University of TechnologyVerified email at infosys.tuwien.ac.at
Stefan SchulteHamburg University of TechnologyVerified email at tuhh.de
Pedro Henrique Piccoli RichettiUniversidade Federal do Rio de Janeiro (UFRJ)Verified email at ufrj.br
Fernanda BaiaoAssociate Professor at PUC-RioVerified email at puc-rio.br
Joao Carlos de A. R. GonçalvesUniversidade Federal do Estado do Rio de Janeiro (UNIRIO)Verified email at uniriotec.br
Dina BayomieResearch Associate at Vienna University of Economics and BusinessVerified email at wu.ac.at

Anton Yeshchenko

Vienna University of Economics and Business (WU Vienna)

Verified email at wu.ac.at - Homepage

Process mining Data visualisation Machine learning Deep learning


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An eye into the future: leveraging a-priori knowledge in predictive business process monitoring C Di Francescomarino, C Ghidini, FM Maggi, G Petrucci, A Yeshchenko International conference on business process management, 252-268, 2017	63	2017
Comprehensive process drift detection with visual analytics A Yeshchenko, CD Ciccio, J Mendling, A Polyvyanyy International Conference on Conceptual Modeling, 119-135, 2019	30	2019
Visual drift detection for sequence data analysis of business processes A Yeshchenko, C Di Ciccio, J Mendling, A Polyvyanyy IEEE Transactions on Visualization and Computer Graphics, 2021	12	2021
Context-aware predictive process monitoring: The impact of news sentiment A Yeshchenko, F Durier, K Revoredo, J Mendling, F Santoro OTM Confederated International Conferences" On the Move to Meaningful …, 2018	8	2018
Optimized container-based process execution in the cloud P Waibel, A Yeshchenko, S Schulte, J Mendling OTM Confederated International Conferences" On the Move to Meaningful …, 2018	5	2018
VDD: A visual drift detection system for process mining A Yeshchenko, J Mendling, C Di Ciccio, A Polyvyanny	3	2020
Process mining supported process redesign: matching problems with solutions S Gross, A Yeshchenko, D Djurica, J Mendling CEUR, 2020	2	2020
Comprehensive process drift analysis with the visual drift detection tool A Yeshchenko, C Di Ciccio, J Mendling, A Polyvyanyy CEUR Workshop Proceedings, 2019	2	2019
Process Model Forecasting Using Time Series Analysis of Event Sequence Data JD Smedt, A Yeshchenko, A Polyvyanyy, JD Weerdt, J Mendling International Conference on Conceptual Modeling, 47-61, 2021	1	2021
A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework A Yeshchenko, J Mendling arXiv preprint arXiv:2202.07941, 2022		2022
Visualizing Business Process Evolution A Yeshchenko, D Bayomie, S Gross, J Mendling Enterprise, Business-Process and Information Systems Modeling, 185-192, 2020		2020
Speech Acts Featuring Decisions in Knowledge-Intensive Processes T Barboza, P Richetti, F Baião, FM Santoro, JC Gonçalves, K Revoredo, ... OTM Confederated International Conferences" On the Move to Meaningful …, 2018		2018
An Eye into the Future: Leveraging A-Priori Knowledge in Predictive Business Process Monitoring A Yeshchenko

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