Artikel dengan mandat akses publik - Massimiliano de LeoniPelajari lebih lanjut
Tidak tersedia di mana pun: 2
An empirical evaluation of unsupervised event log abstraction techniques in process mining
G Van Houdt, M de Leoni, N Martin, B Depaire
Information Systems 121, 102320, 2024
Mandat: Research Foundation (Flanders)
Experience-Based Resource Allocation for Remaining Time Optimization
A Padella, F Mannhardt, F Vinci, M de Leoni, I Vanderfeesten
International Conference on Business Process Management, 345-362, 2024
Mandat: Research Council of Norway
Tersedia di suatu tempat: 8
A Recommendation System for Predicting Risks across Multiple Business Process Instances
R Conforti, M de Leoni, ML Rosa, WMP van der Aalst, AHM ter Hofstede
Decision Support Systems 69 (1), 2015
Mandat: Australian Research Council
Explainable predictive process monitoring
R Galanti, B Coma-Puig, M de Leoni, J Carmona, N Navarin
2020 2nd International Conference on Process Mining (ICPM), 1-8, 2020
Mandat: Government of Spain
Fire now, fire later: alarm-based systems for prescriptive process monitoring
SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M Leoni, ...
Knowledge and Information Systems 64 (2), 559-587, 2022
Mandat: European Commission
Turning Event Logs into Process Movies: Animating What Has Really Happened
M de Leoni, S Suriadi, AHM ter Hofstede, WMP van der Aalst
Software and System Modeling, Springer. 15 (3), 707- 732, 2016
Mandat: Australian Research Council
Constructing probable explanations of nonconformity: A data-aware and history-based approach
M Alizadeh, M De Leoni, N Zannone
2015 IEEE Symposium Series on Computational Intelligence, 1358-1365, 2015
Mandat: Netherlands Organisation for Scientific Research
A Software Framework for Risk-Aware Business Process Management
R Conforti, M La Rosa, AHM ter Hofstede, G Fortino, M de Leoni, ...
Proc. of the CAISE Forum 2013 at the 25th International Conference on …, 2013
Mandat: Australian Research Council
Repair of unsound data-aware process models
M Zavatteri, D Bresolin, M de Leoni
International Conference on Business Process Management, 383-395, 2023
Mandat: Government of Italy
Investigating the Influence of Data-aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve?
M de Leoni, F Vinci, SJJ Leemans, F Mannhardt
21st International Conference on Business Process Management (BPM 2023), 2023
Mandat: Research Council of Norway
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