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Irene Teinemaa
Irene Teinemaa
DeepMind
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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
2402019
Clustering-based predictive process monitoring
C Di Francescomarino, M Dumas, FM Maggi, I Teinemaa
IEEE transactions on services computing 12 (6), 896-909, 2016
1612016
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
1412019
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 deá…, 2016
1052016
Semantics and analysis of DMN decision tables
D Calvanese, M Dumas, ▄ Laurson, FM Maggi, M Montali, I Teinemaa
Business Process Management: 14th International Conference, BPM 2016, Rio deá…, 2016
592016
Semantics, analysis and simplification of DMN decision tables
D Calvanese, M Dumas, ▄ Laurson, FM Maggi, M Montali, I Teinemaa
Information Systems 78, 112-125, 2018
472018
Temporal Stability in Predictive Process Monitoring
I Teinemaa, M Dumas, A Leontjeva, FM Maggi
Data Mining and Knowledge Discovery 32 (5), 1306–1338, 2018
462018
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
402018
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
392020
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
382022
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
292021
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 dataá…, 2021
292021
An interdisciplinary comparison of sequence modeling methods for next-element prediction
N Tax, I Teinemaa, SJ van Zelst
Software and Systems Modeling 19, 1345-1365, 2020
282020
An interdisciplinary comparison of sequence modeling methods for next-element prediction
N Tax, I Teinemaa, SJ van Zelst
arXiv preprint arXiv:1811.00062, 2018
192018
BPIC 2015: Diagnostics of building permit application process in dutch municipalities
I Teinemaa, A Leontjeva, KO Masing
BPI Challenge Report 72, 2015
132015
Encoding resource experience for predictive process monitoring
J Kim, M Comuzzi, M Dumas, FM Maggi, I Teinemaa
Decision Support Systems 153, 113669, 2022
122022
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: 19thá…, 2018
112018
A ProM operational support provider for predictive monitoring of business processes
M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ...
Proceedings of the BPM Demo Session 2015; Co-located with the 13thá…, 2015
102015
Community-based prediction of activity change in Skype
I Teinemaa, A Leontjeva, M Dumas, R Kikas
Proceedings of the 2015 IEEE/ACM International Conference on Advances iná…, 2015
72015
Predictive and Prescriptive Monitoring of Business Process Outcomes.
I Teinemaa, B Depaire
BPM (PhD/Demos), 15-19, 2019
52019
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Artikelen 1–20