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- Artem Polyvyanyy
University of Melbourne, School of Computing and Information Systems, Australia
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Publication search results
found 150 matches
- 2024
- Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
Adaptive goal recognition using process mining techniques. Eng. Appl. Artif. Intell. 133: 108189 (2024) - Jan Martijn E. M. van der Werf, Andrey Rivkin, Marco Montali, Artem Polyvyanyy:
Correctness Notions for Petri Nets with Identifiers. Fundam. Informaticae 190(2-4): 159-207 (2024) - Andrea Burattin, Artem Polyvyanyy, Barbara Weber:
Special Issue with Best Papers from ICPM 2022. Inf. Syst. 124: 102389 (2024) - Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa, Chun Ouyang, Anastasiia Pika:
Process Query Language: Design, Implementation, and Evaluation. Inf. Syst. 122: 102337 (2024) - Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat:
Stochastic Directly-Follows Process Discovery Using Grammatical Inference. CAiSE 2024: 87-103 - Sander J. J. Leemans, Tian Li, Marco Montali, Artem Polyvyanyy:
Stochastic Process Discovery: Can It Be Done Optimally? CAiSE 2024: 36-52 - Wenjun Zhou, Artem Polyvyanyy, James Bailey:
Event Data and Process Model Forecasting. CAiSE Forum 2024: 3-10 - Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat:
The Role of Log Representativeness in Estimating Generalization in Process Mining. ICPM 2024: 33-40 - Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat:
Entropia: Measuring Log Representativeness and Generalization of Discovered Process Models. ICPM Doctoral Consortium / Demo 2024 - Johnson Zhou, Abel Armas-Cervantes, Zahra Dasht Bozorgi, Ellen Otte, Artem Polyvyanyy:
Discovering Changes in Cell Stability Using Process Mining: A Case Study. ICPM 2024: 65-72 - Thakshila Imiya Mohottige, Artem Polyvyanyy, Rajkumar Buyya, Colin J. Fidge, Alistair Barros:
Service Colonies: A Novel Architectural Style for Developing Software Systems with Autonomous and Cooperative Services. CoRR abs/2407.07267 (2024) - Thakshila Imiya Mohottige, Artem Polyvyanyy, Rajkumar Buyya, Colin J. Fidge, Alistair Barros:
Microservices-based Software Systems Reengineering: State-of-the-Art and Future Directions. CoRR abs/2407.13915 (2024) - 2023
- Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
Fast and accurate data-driven goal recognition using process mining techniques. Artif. Intell. 323: 103973 (2023) - Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling:
Process model forecasting and change exploration using time series analysis of event sequence data. Data Knowl. Eng. 145: 102145 (2023) - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive process monitoring based on causal effect estimation. Inf. Syst. 116: 102198 (2023) - Sander J. J. Leemans, Artem Polyvyanyy:
Stochastic-aware precision and recall measures for conformance checking in process mining. Inf. Syst. 115: 102197 (2023) - Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen, Matthieu J. S. Brinkhuis, Hajo A. Reijers:
All that glitters is not gold: Four maturity stages of process discovery algorithms. Inf. Syst. 114: 102155 (2023) - Sander J. J. Leemans, James M. McGree, Artem Polyvyanyy, Arthur H. M. ter Hofstede:
Statistical Tests and Association Measures for Business Processes. IEEE Trans. Knowl. Data Eng. 35(7): 7497-7511 (2023) - Daniël Barenholz, Marco Montali, Artem Polyvyanyy, Hajo A. Reijers, Andrey Rivkin, Jan Martijn E. M. van der Werf:
There and Back Again - On the Reconstructability and Rediscoverability of Typed Jackson Nets. Petri Nets 2023: 37-58 - Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova, Arik Senderovich:
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data. BPM 2023: 284-302 - Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CAiSE 2023: 364-380 - Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest:
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. ICPM 2023: 25-32 - Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CoRR abs/2303.03572 (2023) - Daniël Barenholz, Marco Montali, Artem Polyvyanyy, Hajo A. Reijers, Andrey Rivkin, Jan Martijn E. M. van der Werf:
On the Reconstructability and Rediscoverability of Typed Jackson Nets (Extended Version). CoRR abs/2303.10039 (2023) - Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich:
Large Process Models: Business Process Management in the Age of Generative AI. CoRR abs/2309.00900 (2023) - Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest:
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. CoRR abs/2309.08106 (2023) - Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat:
Stochastic Directly-Follows Process Discovery Using Grammatical Inference. CoRR abs/2312.05433 (2023) - Wenjun Zhou, Artem Polyvyanyy, James Bailey:
PELP: Pioneer Event Log Prediction Using Sequence-to-Sequence Neural Networks. CoRR abs/2312.09741 (2023) - 2022
- Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
Entropic relevance: A mechanism for measuring stochastic process models discovered from event data. Inf. Syst. 107: 101922 (2022) - Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Discovering data transfer routines from user interaction logs. Inf. Syst. 107: 101916 (2022)
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