Irene Teinemaa

According to our database, Irene Teinemaa authored at least 23 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Prescriptive process monitoring based on causal effect estimation.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Inf. Syst., June, 2023

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

Proceedings of the Advanced Information Systems Engineering, 2023

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

Knowl. Inf. Syst., 2022

Encoding resource experience for predictive process monitoring.

Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa

Decis. Support Syst., 2022

2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa

CoRR, 2021

Personalization in Practice: Methods and Applications.

Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa

Proceedings of the WSDM '21, 2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Proceedings of the 3rd International Conference on Process Mining, 2021

2020

An interdisciplinary comparison of sequence modeling methods for next-element prediction.

Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst

Softw. Syst. Model., 2020

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Proceedings of the 2nd International Conference on Process Mining, 2020

2019

Clustering-Based Predictive Process Monitoring.

Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa

IEEE Trans. Serv. Comput., 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

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

Predictive and Prescriptive Monitoring of Business Process Outcomes.

Irene Teinemaa

Proceedings of the Dissertation Award, 2019

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

Temporal stability in predictive process monitoring.

Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi

Data Min. Knowl. Discov., 2018

Automatic Playlist Continuation through a Composition of Collaborative Filters.

Irene Teinemaa, Niek Tax, Carlos Bentes

CoRR, 2018

Foundations of Prescriptive Process Monitoring.

Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi

CoRR, 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

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2018

Alarm-Based Prescriptive Process Monitoring.

Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi

Proceedings of the Business Process Management Forum, 2018

2017

Semantics and Analysis of DMN Decision Tables.

Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa

EMISA Forum, 2017

2016

Predictive Business Process Monitoring with Structured and Unstructured Data.

Irene Teinemaa, Marlon Dumas, Fabrizio Maria Maggi, Chiara Di Francescomarino

Proceedings of the Business Process Management - 14th International Conference, 2016

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

Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015

Community-Based Prediction of Activity Change in Skype.

Irene Teinemaa, Anna Leontjeva, Marlon Dumas, Riivo Kikas

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015