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Your search keyword '"de Leoni, Massimiliano"' showing total 27 results
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27 results on '"de Leoni, Massimiliano"'

1. Experience-Based Resource Allocation for Remaining Time Optimization

Author

Padella, Alessandro, Mannhardt, Felix, Vinci, Francesco, de Leoni, Massimiliano, Vanderfeesten, Irene, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Marrella, Andrea, editor, Resinas, Manuel, editor, Jans, Mieke, editor, and Rosemann, Michael, editor

Published
2024
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2. Repairing Process Models Through Simulation and Explainable AI

Author

Vinci, Francesco, de Leoni, Massimiliano, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Marrella, Andrea, editor, Resinas, Manuel, editor, Jans, Mieke, editor, and Rosemann, Michael, editor

Published
2024
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4. Repair of Unsound Data-Aware Process Models

Author

Zavatteri, Matteo, Bresolin, Davide, de Leoni, Massimiliano, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, De Weerdt, Jochen, editor, and Pufahl, Luise, editor

Published
2024
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8. An Explainable Decision Support System for Predictive Process Analytics

Author

Galanti, Riccardo, de Leoni, Massimiliano, Monaro, Merylin, Navarin, Nicolò, Marazzi, Alan, Di Stasi, Brigida, and Maldera, Stéphanie

Subjects
Computer Science - Machine Learning
Abstract

Predictive Process Analytics is becoming an essential aid for organizations, providing online operational support of their processes. However, process stakeholders need to be provided with an explanation of the reasons why a given process execution is predicted to behave in a certain way. Otherwise, they will be unlikely to trust the predictive monitoring technology and, hence, adopt it. This paper proposes a predictive analytics framework that is also equipped with explanation capabilities based on the game theory of Shapley Values. The framework has been implemented in the IBM Process Mining suite and commercialized for business users. The framework has been tested on real-life event data to assess the quality of the predictions and the corresponding evaluations. In particular, a user evaluation has been performed in order to understand if the explanations provided by the system were intelligible to process stakeholders., Comment: arXiv admin note: text overlap with arXiv:2008.01807

Published
2022

9. Object-centric Process Predictive Analytics

Author

Galanti, Riccardo, de Leoni, Massimiliano, Navarin, Nicolò, and Marazzi, Alan

Subjects
Computer Science - Machine Learning
Abstract

Object-centric processes (a.k.a. Artifact-centric processes) are implementations of a paradigm where an instance of one process is not executed in isolation but interacts with other instances of the same or other processes. Interactions take place through bridging events where instances exchange data. Object-centric processes are recently gaining popularity in academia and industry, because their nature is observed in many application scenarios. This poses significant challenges in predictive analytics due to the complex intricacy of the process instances that relate to each other via many-to-many associations. Existing research is unable to directly exploit the benefits of these interactions, thus limiting the prediction quality. This paper proposes an approach to incorporate the information about the object interactions into the predictive models. The approach is assessed on real-life object-centric process event data, using different KPIs. The results are compared with a naive approach that overlooks the object interactions, thus illustrating the benefits of their use on the prediction quality.

Published
2022

10. Resource Allocation in Recommender Systems for Global KPI Improvement

Author

Padella, Alessandro, de Leoni, Massimiliano, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Di Francescomarino, Chiara, editor, Burattin, Andrea, editor, Janiesch, Christian, editor, and Sadiq, Shazia, editor

Published
2023
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11. Investigating the Influence of Data-Aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve?

Author

de Leoni, Massimiliano, Vinci, Francesco, Leemans, Sander J. J., Mannhardt, Felix, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Di Francescomarino, Chiara, editor, Burattin, Andrea, editor, Janiesch, Christian, editor, and Sadiq, Shazia, editor

Published
2023
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12. Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking

Author

Mannhardt, Felix, Leemans, Sander J. J., Schwanen, Christopher T., de Leoni, Massimiliano, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gomes, Luis, editor, and Lorenz, Robert, editor

Published
2023
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15. Foundations of Process Enhancement

Author

de Leoni, Massimiliano, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, van der Aalst, Wil M. P., editor, and Carmona, Josep, editor

Published
2022
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16. Estimating Activity Start Timestamps in the Presence of Waiting Times via Process Simulation

Author

Fracca, Claudia, de Leoni, Massimiliano, Asnicar, Fabio, Turco, Alessandro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Franch, Xavier, editor, Poels, Geert, editor, Gailly, Frederik, editor, and Snoeck, Monique, editor

Published
2022
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17. A Framework to Improve the Accuracy of Process Simulation Models

Author

Meneghello, Francesca, Fracca, Claudia, de Leoni, Massimiliano, Asnicar, Fabio, Turco, Alessandro, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Renata, editor, Ralyté, Jolita, editor, and Franch, Xavier, editor

Published
2022
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25. Preface to the Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022)

Author

Pegoraro, Marco, Bacciu, Davide, Burattin, Andrea, Carta, Antonio, Dazzi, Patrizio, de Leoni, Massimiliano, Eirinaki, Magdalini, and Varlamis, Iraklis

Abstract

This CEUR-WS volume contains the joint proceedings of two workshops on the domain of computational intelligence: the first International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the first International Workshop on Pervasive Artificial Intelligence (PAI 2022). Both events were co-located with the fortieth IEEE International Joint Conference on Neural Networks (IJCNN 2022), organized within the twelfth IEEE World Congress on Computational Intelligence (WCCI 2022).The University of Padua (Università degli Studi di Padova) served as the hosting institution for WCCI 2022, which took place between the 18ᵗʰ and the 23ʳᵈ of July 2022 in Padua, Italy. The accepted papers of CI4PM were presented on the 18ᵗʰ of July, while accepted papers of PAI were presented on the 19ᵗʰ of July. Additional information on the individual events, accepted papers, and the respective committees can be found on the following pages.

Published
2023

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