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
François SchnitzlerSenior Scientist, InterDigitalVerified email at interdigital.com
J. Christopher BeckProfessor of Mechanical and Industrial Engineering, University of TorontoVerified email at mie.utoronto.ca
Alexander ShleyfmanTechnion – Israel Institute of TechnologyVerified email at campus.technion.ac.il
Roee ShragaPostdoc, Technion - Israel Institute of TechnologyVerified email at campus.technion.ac.il
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Sander J.J. LeemansQueensland University of TechnologyVerified email at qut.edu.au
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
Eldan CohenUniversity of TorontoVerified email at mie.utoronto.ca
Joop SchippersVerified email at uu.nl
Kyle E. C. BoothNASA Ames Research CenterVerified email at nasa.gov
Nicolo RivettiPostdoc, Technion - Israel Institute of TechnologyVerified email at technion.ac.il

Arik Senderovich

University of Toronto

Verified email at utoronto.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	102	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	92	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	91	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	50	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	41	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	34	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	28	2016
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	21	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	20	2018
Mining resource scheduling protocols A Senderovich, M Weidlich, A Gal, A Mandelbaum International Conference on Business Process Management, 200-216, 2014	18	2014
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	16	2016
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	14	2017
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	11	2019
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	10	2016
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	8	2019
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	8	2018
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	8	2015
In log and model we trust? A Rogge-Solti, A Senderovich, M Weidlich, J Mendling, A Gal EMISA, 91-94, 2016	6	2016
REMI: A framework of reusable elements for mining heterogeneous data with missing information A Gal, D Gunopulos, N Panagiotou, N Rivetti, A Senderovich, N Zygouras Journal of Intelligent Information Systems 51 (2), 367-388, 2018	4	2018
Feature learning for accurate time prediction in congested healthcare systems A Senderovich, M Weidlich, A Gal Working paper. Technion, 2017	4	2017

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