Explainable Predictive Process Monitoring

4 August 2020

Chiara Di Francescomarino

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Papers citing "Explainable Predictive Process Monitoring"

24 / 24 papers shown

Title
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 49 0 0 23 Mar 2025
Achieving Fairness in Predictive Process Analytics via Adversarial Learning (Extended Version) Massimiliano de Leoni Alessandro Padella FaML 24 1 0 03 Oct 2024
Machine learning in business process management: A systematic literature review Sven Weinzierl Sandra Zilker Sebastian Dunzer Martin Matzner 40 11 0 26 May 2024
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis Sandra Zilker Sven Weinzierl Mathias Kraus Patrick Zschech Martin Matzner 24 7 0 21 May 2024
Just Tell Me: Prompt Engineering in Business Process Management Kiran Busch Alexander Rochlitzer Diana Sola Henrik Leopold 28 29 0 14 Apr 2023
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles Williams Rizzi Chiara Di Francescomarino Chiara Ghidini F. Maggi 16 0 0 27 Mar 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin S. Rinderle-Ma AI4TS 38 2 0 08 Feb 2023
Performance-Preserving Event Log Sampling for Predictive Monitoring M. Sani Mozhgan Vazifehdoostirani Gyunam Park Marco Pegoraro S. V. Zelst Wil M.P. van der Aalst 23 7 0 18 Jan 2023
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration Sergey Zeltyn Segev Shlomov Avi Yaeli Alon Oved 11 4 0 13 Dec 2022
Mining Explainable Predictive Features for Water Quality Management C. Muldoon Levent Gorgu J. O'Sullivan W. Meijer Gregory M. P. O'Hare FAtt 6 0 0 08 Dec 2022
A Framework for Extracting and Encoding Features from Object-Centric Event Data Jan Niklas Adams Gyunam Park Sergej Levich Daniel Schuster Wil M.P. van der Aalst 36 17 0 02 Sep 2022
An Explainable Decision Support System for Predictive Process Analytics Riccardo Galanti M. Leoni M. Monaro Nicoló Navarin Alan Marazzi Brigida Di Stasi Stéphanie Maldera 27 23 0 26 Jul 2022
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research S. Gawde S. Patil Shylendra Kumar P. Kamat K. Kotecha Ajith Abraham AI4CE 18 46 0 30 May 2022
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions S. Rinderle-Ma Karolin Winter Janik-Vasily Benzin 12 10 0 10 May 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 12 12 0 30 Mar 2022
Object-centric Process Predictive Analytics Riccardo Galanti M. Leoni Nicoló Navarin Alan Marazzi 11 21 0 05 Mar 2022
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 19 19 0 24 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal Ghada Elkhawaga Mervat Abuelkheir M. Reichert 12 1 0 16 Feb 2022
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues? Ghada Elkhawaga Mervat Abuelkheir M. Reichert 10 13 0 16 Feb 2022
Explainable Predictive Process Monitoring: A User Evaluation Williams Rizzi M. Comuzzi Chiara Di Francescomarino Chiara Ghidini Suhwan Lee F. Maggi Alexander Nolte FaML XAI 14 8 0 15 Feb 2022
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms B. Wickramanayake Zhipeng He Chun Ouyang Catarina Moreira Yue Xu Renuka Sindhgatta 8 25 0 03 Sep 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions Senthil Kumar Jagatheesaperumal Mohamed Rahouti Kashif Ahmad Ala I. Al-Fuqaha M. Guizani AI4CE 16 19 0 06 Apr 2021
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach M. Velmurugan Chun Ouyang Catarina Moreira Renuka Sindhgatta XAI 11 5 0 08 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017