Irene Teinemaa

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 33

Top Topics

Experimental Evaluation

Business Process

Unstructured Data

Alarm Correlation

Top Venues

Decis. Support Syst.

Publications

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Prescriptive process monitoring based on causal effect estimation. Inf. Syst. 116 (2023)
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 (2023)
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)
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowl. Inf. Syst. 64 (2) (2022)
Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
Encoding resource experience for predictive process monitoring. Decis. Support Syst. 153 (2022)
Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa
Personalization in Practice: Methods and Applications. WSDM (2021)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. CoRR (2021)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. ICPM (2021)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. ICPM (2020)
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
An interdisciplinary comparison of sequence modeling methods for next-element prediction. Softw. Syst. Model. 19 (6) (2020)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. CoRR (2020)
Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
Clustering-Based Predictive Process Monitoring. IEEE Trans. Serv. Comput. 12 (6) (2019)
Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Irene Teinemaa
Predictive and Prescriptive Monitoring of Business Process Outcomes. BPM (PhD/Demos) (2019)
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring. CoRR (2019)
Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. ACM Trans. Knowl. Discov. Data 13 (2) (2019)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
Foundations of Prescriptive Process Monitoring. CoRR (2018)
Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi
Temporal stability in predictive process monitoring. Data Min. Knowl. Discov. 32 (5) (2018)
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
Semantics, Analysis and Simplification of DMN Decision Tables. Inf. Syst. 78 (2018)
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction. CoRR (2018)
Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring. CoRR (2018)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
Alarm-Based Prescriptive Process Monitoring. BPM (Forum) (2018)
Irene Teinemaa, Niek Tax, Carlos Bentes
Automatic Playlist Continuation through a Composition of Collaborative Filters. CoRR (2018)
Niek Tax, Sebastiaan J. van Zelst, Irene Teinemaa
An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models. BPMDS/EMMSAD@CAiSE (2018)
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
Semantics and Analysis of DMN Decision Tables. EMISA Forum 37 (1) (2017)
Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. CoRR (2017)
Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi
Temporal Stability in Predictive Process Monitoring. CoRR (2017)
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
Semantics and Analysis of DMN Decision Tables. CoRR (2016)
Irene Teinemaa, Marlon Dumas, Fabrizio Maria Maggi, Chiara Di Francescomarino
Predictive Business Process Monitoring with Structured and Unstructured Data. BPM (2016)
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
Semantics and Analysis of DMN Decision Tables. BPM (2016)
Marco Federici, Williams Rizzi, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Irene Teinemaa
A ProM Operational Support Provider for Predictive Monitoring of Business Processes. BPM (Demos) (2015)
Irene Teinemaa, Anna Leontjeva, Marlon Dumas, Riivo Kikas
Community-Based Prediction of Activity Change in Skype. ASONAM (2015)
Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
Clustering-Based Predictive Process Monitoring. CoRR (2015)