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Irene Teinemaa
Irene Teinemaa
DeepMind
Geverifieerd e-mailadres voor deepmind.com - Homepage
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Outcome-oriented predictive process monitoring: review and benchmark
I Teinemaa, M Dumas, M La Rosa, FM Maggi
ACM Transactions on Knowledge Discovery in Data 13 (2), 17:1-17:57, 2019
3592019
Clustering-based predictive process monitoring
C Di Francescomarino, M Dumas, FM Maggi, I Teinemaa
IEEE transactions on services computing 12 (6), 896-909, 2016
2072016
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
I Verenich, M Dumas, ML Rosa, FM Maggi, I Teinemaa
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (4), 1-34, 2019
2062019
Predictive business process monitoring with structured and unstructured data
I Teinemaa, M Dumas, FM Maggi, C Di Francescomarino
Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016
1322016
Process mining meets causal machine learning: Discovering causal rules from event logs
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy
2020 2nd International Conference on Process Mining (ICPM), 129-136, 2020
692020
An interdisciplinary comparison of sequence modeling methods for next-element prediction
N Tax, I Teinemaa, SJ van Zelst
Software and Systems Modeling 19 (6), 1345-1365, 2020
662020
Semantics and analysis of DMN decision tables
D Calvanese, M Dumas, Ü Laurson, FM Maggi, M Montali, I Teinemaa
Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016
642016
Temporal Stability in Predictive Process Monitoring
I Teinemaa, M Dumas, A Leontjeva, FM Maggi
Data Mining and Knowledge Discovery 32 (5), 1306–1338, 2018
622018
Alarm-Based Prescriptive Process Monitoring
I Teinemaa, N Tax, M de Leoni, M Dumas, FM Maggi
International Conference on Business Process Management 329, 91-107, 2018
592018
Semantics, analysis and simplification of DMN decision tables
D Calvanese, M Dumas, Ü Laurson, FM Maggi, M Montali, I Teinemaa
Information Systems 78, 112-125, 2018
572018
Fire now, fire later: alarm-based systems for prescriptive process monitoring
SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M Leoni, ...
Knowledge and Information Systems 64 (2), 559-587, 2022
562022
Prescriptive process monitoring for cost-aware cycle time reduction
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy
2021 3rd international conference on process mining (ICPM), 96-103, 2021
542021
Personalization in practice: Methods and applications
D Goldenberg, K Kofman, J Albert, S Mizrachi, A Horowitz, I Teinemaa
Proceedings of the 14th ACM international conference on web search and data …, 2021
502021
Encoding resource experience for predictive process monitoring
J Kim, M Comuzzi, M Dumas, FM Maggi, I Teinemaa
Decision Support Systems 153, 113669, 2022
312022
Prescriptive process monitoring based on causal effect estimation
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy
Information Systems 116, 102198, 2023
182023
BPIC 2015: Diagnostics of building permit application process in dutch municipalities
I Teinemaa, A Leontjeva, KO Masing
BPI Challenge Report 72, 2015
182015
An experimental evaluation of the generalizing capabilities of process discovery techniques and black-box sequence models
N Tax, SJ van Zelst, I Teinemaa
Enterprise, Business-Process and Information Systems Modeling: 19th …, 2018
132018
A ProM Operational Support Provider for Predictive Monitoring of Business Processes.
M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ...
BPM (Demos), 1-5, 2015
122015
Learning when to treat business processes: Prescriptive process monitoring with causal inference and reinforcement learning
ZD Bozorgi, M Dumas, ML Rosa, A Polyvyanyy, M Shoush, I Teinemaa
International Conference on Advanced Information Systems Engineering, 364-380, 2023
92023
Predictive and Prescriptive Monitoring of Business Process Outcomes.
I Teinemaa, B Depaire
BPM (PhD/Demos), 15-19, 2019
82019
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Artikelen 1–20