Arik Senderovich

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Avigdor GalTechnion -- Israel Institute of TechnologyVerified email at technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Avishai MandelbaumProfesson of Service Engineering, Operations Research, StatisticsVerified email at technion.ac.il
Andreas Rogge-SoltiVienna University of Economics and Business (WU Vienna)Verified email at wu.ac.at
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinVerified email at hu-berlin.de
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Chiara Di FrancescomarinoFondazione Bruno Kessler - Trento, ItalyVerified email at fbk.eu
J. Christopher BeckProfessor of Mechanical and Industrial Engineering, University of TorontoVerified email at mie.utoronto.ca
François SchnitzlerSenior Scientist, InterDigitalVerified email at interdigital.com
Roee ShragaPostdoc, Khoury College of Computer Science at Northeastern UniversityVerified email at northeastern.edu
Alexander ShleyfmanTechnion – Israel Institute of TechnologyVerified email at campus.technion.ac.il
Eldan CohenUniversity of TorontoVerified email at mie.utoronto.ca
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Sander J.J. LeemansRWTH UniversityVerified email at bpm.rwth-aachen.de
Shahar HarelComputer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Yossi DahariMaster studentVerified email at technion.ac.il
Hajo A. ReijersProfessor of Computer Science, Utrecht University || Eindhoven University of TechnologyVerified email at uu.nl
Kyle E. C. BoothResearch Scientist, Amazon Web Services (AWS)Verified email at amazon.com
Joop SchippersVerified email at uu.nl
Nicolo RivettiPostdoc, Technion - Israel Institute of TechnologyVerified email at technion.ac.il

Arik Senderovich

York University (Toronto, Canada)

Verified email at yorku.ca - Homepage

Process mining Business Process Management Queueing Theory Machine Learning


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Queue mining–predicting delays in service processes A Senderovich, M Weidlich, A Gal, A Mandelbaum International conference on advanced information systems engineering, 42-57, 2014	120	2014
Queue mining for delay prediction in multi-class service processes A Senderovich, M Weidlich, A Gal, A Mandelbaum Information systems 53, 278-295, 2015	118	2015
Traveling time prediction in scheduled transportation with journey segments A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich Information Systems 64, 266-280, 2017	114	2017
Intra and inter-case features in predictive process monitoring: A tale of two dimensions A Senderovich, C Di Francescomarino, C Ghidini, K Jorbina, FM Maggi International Conference on Business Process Management, 306-323, 2017	86	2017
The ROAD from sensor data to process instances via interaction mining A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum International Conference on Advanced Information Systems Engineering, 257-273, 2016	50	2016
Conformance checking and performance improvement in scheduled processes: A queueing-network perspective A Senderovich, M Weidlich, L Yedidsion, A Gal, A Mandelbaum, S Kadish, ... Information Systems 62, 185-206, 2016	46	2016
In log and model we trust? A generalized conformance checking framework A Rogge-Solti, A Senderovich, M Weidlich, J Mendling, A Gal International Conference on Business Process Management, 179-196, 2016	32	2016
How much event data is enough? A statistical framework for process discovery M Bauer, A Senderovich, A Gal, L Grunske, M Weidlich International Conference on Advanced Information Systems Engineering, 239-256, 2018	30	2018
Discovering queues from event logs with varying levels of information A Senderovich, SJJ Leemans, S Harel, A Gal, A Mandelbaum, ... International Conference on Business Process Management, 154-166, 2016	29	2016
From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring A Senderovich, C Di Francescomarino, FM Maggi Information Systems 84, 255-264, 2019	26	2019
Data-driven performance analysis of scheduled processes A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum, ... International Conference on Business Process Management, 35-52, 2016	23	2016
Mining resource scheduling protocols A Senderovich, M Weidlich, A Gal, A Mandelbaum International Conference on Business Process Management, 200-216, 2014	21	2014
Congestion graphs for automated time predictions A Senderovich, JC Beck, A Gal, M Weidlich Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4854-4861, 2019	15	2019
Temporal network representation of event logs for improved performance modelling in business processes A Senderovich, M Weidlich, A Gal International Conference on Business Process Management, 3-21, 2017	15	2017
An Ising framework for constrained clustering on special purpose hardware E Cohen, A Senderovich, JC Beck International Conference on Integration of Constraint Programming …, 2020	14	2020
To aggregate or to eliminate? Optimal model simplification for improved process performance prediction A Senderovich, A Shleyfman, M Weidlich, A Gal, A Mandelbaum Information Systems 78, 96-111, 2018	14	2018
P-Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction A Senderovich, A Shleyfman, M Weidlich, A Gal, A Mandelbaum International Conference on Business Process Management, 418-436, 2016	14	2016
Discovery and validation of queueing networks in scheduled processes A Senderovich, M Weidlich, A Gal, A Mandelbaum, S Kadish, CA Bunnell International Conference on Advanced Information Systems Engineering, 417-433, 2015	11	2015
Context-aware temporal network representation of event logs: Model and methods for process performance analysis A Senderovich, M Weidlich, A Gal Information Systems 84, 240-254, 2019	7	2019
Process minding: closing the big data gap A Gal, A Senderovich International Conference on Business Process Management, 3-16, 2020	6	2020

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