Irene Teinemaa

34 papers A 4B 3Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Towards Conversational Actionability in AI-Augmented Business Process Management Systems.
PMAI
Marco Montali, Marco Comuzzi, Irene Teinemaa, Daniel Amyot, Marlon Dumas
2023 A conf
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning.
CAiSE
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
2023 J jnl
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning.
CoRR
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
2023 J jnl
Prescriptive process monitoring based on causal effect estimation.
Inf. Syst.
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
2022 J jnl
Encoding resource experience for predictive process monitoring.
Decis. Support Syst.
Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
2022 J jnl
Fire now, fire later: alarm-based systems for prescriptive process monitoring.
Knowl. Inf. Syst.
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
2021 A conf
Personalization in Practice: Methods and Applications.
WSDM
Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa
2021 B conf
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.
ICPM
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
2021 J jnl
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.
CoRR
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa
2020 J jnl
An interdisciplinary comparison of sequence modeling methods for next-element prediction.
Softw. Syst. Model.
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
2020 B conf
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs.
ICPM
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
2020 J jnl
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs.
CoRR
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
2019 J jnl
Clustering-Based Predictive Process Monitoring.
IEEE Trans. Serv. Comput.
Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
2019 J jnl
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring.
CoRR
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
2019 J jnl
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark.
ACM Trans. Knowl. Discov. Data
Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi
2019 — conf
Predictive and Prescriptive Monitoring of Business Process Outcomes.
BPM (PhD/Demos)
Irene Teinemaa
2019 J jnl
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring.
ACM Trans. Intell. Syst. Technol.
Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa
2018 — conf
Alarm-Based Prescriptive Process Monitoring.
BPM (Forum)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
2018 — conf
An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models.
BPMDS/EMMSAD@CAiSE
Niek Tax, Sebastiaan J. van Zelst, Irene Teinemaa
2018 J jnl
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction.
CoRR
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
2018 J jnl
Automatic Playlist Continuation through a Composition of Collaborative Filters.
CoRR
Irene Teinemaa, Niek Tax, Carlos Bentes
2018 J jnl
Foundations of Prescriptive Process Monitoring.
CoRR
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
2018 J jnl
Semantics, Analysis and Simplification of DMN Decision Tables.
Inf. Syst.
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
2018 J jnl
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring.
CoRR
Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa
2018 J jnl
Temporal stability in predictive process monitoring.
Data Min. Knowl. Discov.
Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi
2017 J jnl
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark.
CoRR
Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi
2017 J jnl
Semantics and Analysis of DMN Decision Tables.
EMISA Forum
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
2017 J jnl
Temporal Stability in Predictive Process Monitoring.
CoRR
Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi
2016 A conf
Predictive Business Process Monitoring with Structured and Unstructured Data.
BPM
Irene Teinemaa, Marlon Dumas, Fabrizio Maria Maggi, Chiara Di Francescomarino
2016 A conf
Semantics and Analysis of DMN Decision Tables.
BPM
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
2016 J jnl
Semantics and Analysis of DMN Decision Tables.
CoRR
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa
2015 — conf
A ProM Operational Support Provider for Predictive Monitoring of Business Processes.
BPM (Demos)
Marco Federici, Williams Rizzi, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Irene Teinemaa
2015 J jnl
Clustering-Based Predictive Process Monitoring.
CoRR
Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
2015 B conf
Community-Based Prediction of Activity Change in Skype.
ASONAM
Irene Teinemaa, Anna Leontjeva, Marlon Dumas, Riivo Kikas