Arik Senderovich

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Avigdor GalTechnion -- Israel Institute of TechnologyDirección de correo verificada de technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinDirección de correo verificada de hu-berlin.de
Avishai MandelbaumProfessor of Service Engineering, Operations Research, StatisticsDirección de correo verificada de technion.ac.il
J. Christopher BeckProfessor of Mechanical and Industrial Engineering, University of TorontoDirección de correo verificada de mie.utoronto.ca
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinDirección de correo verificada de hu-berlin.de
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoDirección de correo verificada de ut.ee
Chiara Di FrancescomarinoUniversity of Trento - Trento, ItalyDirección de correo verificada de unitn.it
Andreas Rogge-SoltiVienna University of Economics and Business (WU Vienna)Dirección de correo verificada de wu.ac.at
François SchnitzlerSenior Scientist, InterDigitalDirección de correo verificada de interdigital.com
Roee ShragaAssistant Professor, Computer and Data Science, WPIDirección de correo verificada de WPI.edu
Eldan CohenUniversity of TorontoDirección de correo verificada de mie.utoronto.ca
Alexander ShleyfmanBar-Ilan UniversityDirección de correo verificada de biu.ac.il
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eDirección de correo verificada de pads.rwth-aachen.de
Sander J.J. LeemansRWTH Aachen UniversityDirección de correo verificada de bpm.rwth-aachen.de
Shahar HarelComputer Science, Technion - Israel Institute of TechnologyDirección de correo verificada de cs.technion.ac.il
Yossi DahariMaster studentDirección de correo verificada de technion.ac.il
Hajo A. ReijersProfessor of Computer Science, Utrecht University & Eindhoven University of TechnologyDirección de correo verificada de uu.nl
Kyle E. C. BoothAmazon Web Services (AWS)Dirección de correo verificada de amazon.com
Joop SchippersDirección de correo verificada de uu.nl
Nicolo RivettiPostdoc, Technion - Israel Institute of TechnologyDirección de correo verificada de technion.ac.il

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Arik Senderovich

York University (Toronto, Canada)

Dirección de correo verificada de yorku.ca - Página principal

Process mining Business Process Management Queueing Theory Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Queue mining for delay prediction in multi-class service processes A Senderovich, M Weidlich, A Gal, A Mandelbaum Information systems 53, 278-295, 2015	144	2015
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	144	2014
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	139	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 Business Process Management: 15th International Conference, BPM 2017 …, 2017	136	2017
The ROAD from sensor data to process instances via interaction mining A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum Advanced Information Systems Engineering: 28th International Conference …, 2016	74	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	68	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	54	2019
In log and model we trust? A generalized conformance checking framework A Rogge-Solti, A Senderovich, M Weidlich, J Mendling, A Gal Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016	50	2016
Discovering queues from event logs with varying levels of information A Senderovich, SJJ Leemans, S Harel, A Gal, A Mandelbaum, ... Business Process Management Workshops: BPM 2015, 13th International …, 2016	42	2016
How much event data is enough? A statistical framework for process discovery M Bauer, A Senderovich, A Gal, L Grunske, M Weidlich Advanced Information Systems Engineering: 30th International Conference …, 2018	40	2018
Generating complex, realistic cloud workloads using recurrent neural networks S Bergsma, T Zeyl, A Senderovich, JC Beck Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles …, 2021	36	2021
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	31	2018
Data-driven performance analysis of scheduled processes A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum, ... Business Process Management: 13th International Conference, BPM 2015 …, 2015	30	2015
Mining resource scheduling protocols A Senderovich, M Weidlich, A Gal, A Mandelbaum Business Process Management: 12th International Conference, BPM 2014, Haifa …, 2014	28	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	27	2019
Can I trust my simulation model? measuring the quality of business process simulation models D Chapela-Campa, I Benchekroun, O Baron, M Dumas, D Krass, ... International Conference on Business Process Management, 20-37, 2023	22	2023
An Ising framework for constrained clustering on special purpose hardware E Cohen, A Senderovich, JC Beck International Conference on Integration of Constraint Programming …, 2020	20	2020
Temporal network representation of event logs for improved performance modelling in business processes A Senderovich, M Weidlich, A Gal Business Process Management: 15th International Conference, BPM 2017 …, 2017	19	2017
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	18	2016
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	16	2019

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