Arik Senderovich
Arik Senderovich
Bestätigte E-Mail-Adresse bei utoronto.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
972014
Queue mining for delay prediction in multi-class service processes
A Senderovich, M Weidlich, A Gal, A Mandelbaum
Information Systems 53, 278-295, 2015
902015
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
852017
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
432017
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
372016
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
322016
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
302016
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
202016
Mining resource scheduling protocols
A Senderovich, M Weidlich, A Gal, A Mandelbaum
International Conference on Business Process Management, 200-216, 2014
182014
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
162018
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
152016
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
132017
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
92019
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
92016
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
72018
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
72015
Congestion Graphs for Automated Time Predictions
A Senderovich, JC Beck, A Gal, M Weidlich
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4854-4861, 2019
62019
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
42018
Feature learning for accurate time prediction in congested healthcare systems
A Senderovich, M Weidlich, A Gal
Working paper. Technion, 2017
42017
On predicting traveling times in scheduled transportation
A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich
MUD@ ICML, 2015
42015
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