Community-Based Prediction of Activity Change in Skype. - Irene Teinemaa; Anna Leontjeva; Marlon Dumas; Riivo Kikas (ASONAM, 2015)

A ProM Operational Support Provider for Predictive Monitoring of Business Processes. - Marco Federici; Williams Rizzi; Chiara Di Francescomarino; Marlon Dumas; Chiara Ghidini; Fabrizio Maria Maggi; Irene Teinemaa (BPM (Demos), 2015)

Predictive Business Process Monitoring with Structured and Unstructured Data. - Irene Teinemaa; Marlon Dumas; Fabrizio Maria Maggi; Chiara Di Francescomarino (BPM, 2016)

Semantics and Analysis of DMN Decision Tables. - Diego Calvanese; Marlon Dumas; Ülari Laurson; Fabrizio Maria Maggi; Marco Montali; Irene Teinemaa (EMISA Forum, 2017)

Alarm-Based Prescriptive Process Monitoring. - Irene Teinemaa; Niek Tax; Massimiliano de Leoni; Marlon Dumas; Fabrizio Maria Maggi (BPM (Forum), 2018)

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models. - Niek Tax; Sebastiaan J. van Zelst; Irene Teinemaa (BPMDS/EMMSAD@CAiSE, 2018)

Foundations of Prescriptive Process Monitoring. - Irene Teinemaa; Niek Tax; Massimiliano de Leoni; Marlon Dumas; Fabrizio Maria Maggi (CoRR, 2018)

Automatic Playlist Continuation through a Composition of Collaborative Filters. - Irene Teinemaa; Niek Tax; Carlos Bentes (CoRR, 2018)

Temporal stability in predictive process monitoring. - Irene Teinemaa; Marlon Dumas; Anna Leontjeva; Fabrizio Maria Maggi (Data Min. Knowl. Discov., 2018)

Semantics, Analysis and Simplification of DMN Decision Tables. - Diego Calvanese; Marlon Dumas; Ülari Laurson; Fabrizio Maria Maggi; Marco Montali; Irene Teinemaa (Inf. Syst., 2018)

Predictive and Prescriptive Monitoring of Business Process Outcomes. - Irene Teinemaa (BPM (PhD/Demos), 2019)

Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. - Ilya Verenich; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi; Irene Teinemaa (ACM Trans. Intell. Syst. Technol., 2019)

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. - Irene Teinemaa; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi (ACM Trans. Knowl. Discov. Data, 2019)

Clustering-Based Predictive Process Monitoring. - Chiara Di Francescomarino; Marlon Dumas; Fabrizio Maria Maggi; Irene Teinemaa (IEEE Trans. Serv. Comput., 2019)

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. - Zahra Dasht Bozorgi; Irene Teinemaa; Marlon Dumas; Marcello La Rosa; Artem Polyvyanyy (ICPM, 2020)

An interdisciplinary comparison of sequence modeling methods for next-element prediction. - Niek Tax; Irene Teinemaa; Sebastiaan J. van Zelst (Softw. Syst. Model., 2020)

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. - Zahra Dasht Bozorgi; Irene Teinemaa; Marlon Dumas; Marcello La Rosa; Artem Polyvyanyy (ICPM, 2021)

Personalization in Practice: Methods and Applications. - Dmitri Goldenberg; Kostia Kofman; Javier Albert; Sarai Mizrachi; Adam Horowitz; Irene Teinemaa (WSDM, 2021)

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. - Zahra Dasht Bozorgi; Irene Teinemaa; Marlon Dumas; Marcello La Rosa (CoRR, 2021)

Encoding resource experience for predictive process monitoring. - Jongchan Kim; Marco Comuzzi; Marlon Dumas; Fabrizio Maria Maggi; Irene Teinemaa (Decis. Support Syst., 2022)

Fire now, fire later: alarm-based systems for prescriptive process monitoring. - Stephan A. Fahrenkrog-Petersen; Niek Tax; Irene Teinemaa; Marlon Dumas; Massimiliano de Leoni; Fabrizio Maria Maggi; Matthias Weidlich 001 (Knowl. Inf. Syst., 2022)

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. - Zahra Dasht Bozorgi; Marlon Dumas; Marcello La Rosa; Artem Polyvyanyy; Mahmoud Shoush; Irene Teinemaa (CAiSE, 2023)

Prescriptive process monitoring based on causal effect estimation. - Zahra Dasht Bozorgi; Irene Teinemaa; Marlon Dumas; Marcello La Rosa; Artem Polyvyanyy (Inf. Syst., 2023)