Irene Teinemaa
Irene Teinemaa
Data Scientist at Booking.com
Verified email at booking.com - Homepage
Title
Cited by
Cited by
Year
Clustering-based predictive process monitoring
C Di Francescomarino, M Dumas, FM Maggi, I Teinemaa
IEEE transactions on services computing, 2016
842016
Predictive business process monitoring with structured and unstructured data
I Teinemaa, M Dumas, FM Maggi, C Di Francescomarino
International Conference on Business Process Management, 401-417, 2016
532016
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
522019
Semantics and analysis of DMN decision tables
D Calvanese, M Dumas, Ü Laurson, FM Maggi, M Montali, I Teinemaa
International Conference on Business Process Management, 217-233, 2016
412016
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
212019
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
212018
An interdisciplinary comparison of sequence modeling methods for next-element prediction
N Tax, I Teinemaa, SJ van Zelst
Software and Systems Modeling, 1-21, 2020
142020
Temporal Stability in Predictive Process Monitoring
I Teinemaa, M Dumas, A Leontjeva, FM Maggi
Data Mining and Knowledge Discovery 32 (5), 1306–1338, 2018
142018
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
112018
BPIC 2015: Diagnostics of building permit application process in dutch municipalities
I Teinemaa, A Leontjeva, KO Masing
BPI Challenge Report 72, 2015
112015
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
82015
Community-based prediction of activity change in Skype
I Teinemaa, A Leontjeva, M Dumas, R Kikas
2015 IEEE/ACM International Conference on Advances in Social Networks …, 2015
52015
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M de Leoni, ...
arXiv preprint arXiv:1905.09568, 2019
42019
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, 165-180, 2018
32018
Automatic Playlist Continuation through a Composition of Collaborative Filters
I Teinemaa, N Tax, C Bentes
arXiv preprint arXiv:1808.04288, 2018
12018
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy
arXiv preprint arXiv:2009.01561, 2020
2020
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
Z Dasht Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy
arXiv e-prints, arXiv: 2009.01561, 2020
2020
Predictive and Prescriptive Monitoring of Business Process Outcomes.
I Teinemaa
BPM (PhD/Demos), 15-19, 2019
2019
La redazione del business plan di un centro fitness
M Bonacchi, L Menicacci, C Di Ciccio, FM Maggi, M Montali, J Mendling, ...
2016
Community-Based Prediction of Activity Decay in a Social Network
I Teinemaa
University of Tartu, 2014
2014
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Articles 1–20