Arik Senderovich

Arik Senderovich

University of Toronto

H-index: 16

North America-Canada

About Arik Senderovich

Arik Senderovich, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Process mining, Business Process Management, Queueing Theory, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes

Measuring rule-based LTLf process specifications: A probabilistic data-driven approach

Can I trust my simulation model? measuring the quality of business process simulation models

Agent miner: an algorithm for discovering agent systems from event data

Privacy attacks on schedule-driven data

Systems and methods for automated modeling of processes

Supervised ML for Solving the GI/GI/1 Queue

Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers

Arik Senderovich Information

University

Position

___

Citations(all)

1114

Citations(since 2020)

793

Cited By

630

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Arik Senderovich Skills & Research Interests

Process mining

Business Process Management

Queueing Theory

Machine Learning

Top articles of Arik Senderovich

Title

Journal

Author(s)

Publication Date

Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes

Engineering Applications of Artificial Intelligence

Faria Khandaker

Arik Senderovich

Junda Zhao

Eldan Cohen

Eric Yu

...

2024/2/1

Measuring rule-based LTLf process specifications: A probabilistic data-driven approach

Information Systems

Alessio Cecconi

Luca Barbaro

Claudio Di Ciccio

Arik Senderovich

2024/2/1

Can I trust my simulation model? measuring the quality of business process simulation models

David Chapela-Campa

Ismail Benchekroun

Opher Baron

Marlon Dumas

Dmitry Krass

...

2023/9/1

Agent miner: an algorithm for discovering agent systems from event data

Andrei Tour

Artem Polyvyanyy

Anna Kalenkova

Arik Senderovich

2023/9/1

Privacy attacks on schedule-driven data

Proceedings of the AAAI Conference on Artificial Intelligence

Stephan A Fahrenkrog-Petersen

Arik Senderovich

Alexandra Tichauer

Ali Kaan Tutak

J Christopher Beck

...

2023/6/26

Systems and methods for automated modeling of processes

2023/6/8

Supervised ML for Solving the GI/GI/1 Queue

INFORMS Journal on Computing

Opher Baron

Dmitry Krass

Arik Senderovich

Eliran Sherzer

2023/12/21

Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers

Marco Montali

Arik Senderovich

Matthias Weidlich

2023/3/25

2023 5 th International Conference on Process Mining ICPM 2021

Jorge Munoz-Gama

Stefanie Rinderle-Ma

Arik Senderovich

2023/10/23

Can machines solve general queueing systems?

arXiv preprint arXiv:2202.01729

Eliran Sherzer

Arik Senderovich

Opher Baron

Dmitry Krass

2022/2/3

Measurement of rule-based LTLf declarative process specifications

Alessio Cecconi

Claudio Di Ciccio

Arik Senderovich

2022/10/23

Capacity Allocation for Clouds with Parallel Processing, Batch Arrivals, and Heterogeneous Service Requirements

arXiv preprint arXiv:2209.08820

Eugene Furman

Arik Senderovich

Shane Bergsma

J Christopher Beck

2022/9/19

Transformer Models for Activity Mining in Knowledge-Intensive Processes

Faria Khandaker

Arik Senderovich

Eric Yu

Sebastian Carbajales

Allen Chan

2022/9/11

Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization

IEEE Access

Arik Senderovich

Jiachen Zhang

Eldan Cohen

J Christopher Beck

2022/7/21

Process discovery with context-aware process trees

Information Systems

Roee Shraga

Avigdor Gal

Dafna Schumacher

Arik Senderovich

Matthias Weidlich

2022/5/1

Can machines solve general queueing problems?

Opher Baron

Dmitry Krass

Eliran Sherzer

Arik Senderovich

2022/12/11

Generating complex, realistic cloud workloads using recurrent neural networks

Shane Bergsma

Timothy Zeyl

Arik Senderovich

J Christopher Beck

2021/10/26

Waiting-Time Prediction with Invisible Customers

Available at SSRN 3946696

Yoav Kerner

Ricky Roet-Green

Arik Senderovich

Yaron Shaposhnik

Yuting Yuan

2021/10/20

Cut to the trace! process-aware partitioning of long-running cases in customer journey logs

Gaël Bernard

Arik Senderovich

Periklis Andritsos

2021/6/24

BPM 2021 dissertation award, doctoral consortium, and demonstration & resources track: Preface

CEUR WORKSHOP PROCEEDINGS

W van der Aalst

R Dijkman

A Kumar

F Leotta

FM Maggi

...

2021

See List of Professors in Arik Senderovich University(University of Toronto)

Co-Authors

H-index: 88
Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

H-index: 76
Hajo A. Reijers

Hajo A. Reijers

Universiteit Utrecht

H-index: 53
Matthias Weidlich

Matthias Weidlich

Humboldt-Universität zu Berlin

H-index: 45
Avigdor Gal

Avigdor Gal

Technion - Israel Institute of Technology

H-index: 43
J. Christopher Beck

J. Christopher Beck

University of Toronto

H-index: 21
Andreas Rogge-Solti

Andreas Rogge-Solti

Wirtschaftsuniversität Wien

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