People
Alan Perotti
Researcher
Researcher
Publications
Revealing the determinants of gender inequality in urban cycling with large-scale data
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
EPJ Data Science12, 9 (2023)
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Paolo Bajardi, Alan Perotti, Elvio Amparore
PeerJ Computer Science7:e479, (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
Federico Cinus, André Panisson, C Maestri, L Petrocchi, D Polinelli, F Scarpa, Paolo Bajardi, Alan Perotti, Elvio Amparore
2021 IEEE Madrid PowerTech (2021)
FairLens: Auditing black-box clinical decision support systems
André Panisson, Paolo Bajardi, Alan Perotti, Dino Pedreschi, Cecilia Panigutti
Information Processing & Management58 (5), 102657, (2021)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
L Li Puma, S Ronchiadin, S Cozzini, F Iadanza, S Pavanelli, S Pignataro, Alessio Angius, Alan Perotti, Carlo Abrate, Gianmarco De Francisci Morales
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track 237-252 (2021)
Quantitative and Ontology-Based Comparison of Explanations for Image Classification
Valentina Ghidini, Alan Perotti, Rossano Schifanella
LOD 2019: Machine Learning, Optimization, and Data Sciencevol. 11943. Springer, Cham, 58-70 (2020)
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis
André Panisson, Simone Piaggesi, Alan Perotti, Francesco Bodria
Proceedings of the 28th Italian Symposium on Advanced Database Systems (SEBD 2020) (2020)
Doctor XAI: An ontology-based approach to black-box sequential data classification explanations
Alan Perotti, Dino Pedreschi, Cecilia Panigutti
Conference on Fairness, Accountability, and Transparency (FAT* 2020) 629–639 (2020)
Revealing the determinants of gender inequality in urban cycling with large-scale data
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
EPJ Data Science12, 9 (2023)
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Paolo Bajardi, Alan Perotti, Elvio Amparore
PeerJ Computer Science7:e479, (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
Federico Cinus, André Panisson, C Maestri, L Petrocchi, D Polinelli, F Scarpa, Paolo Bajardi, Alan Perotti, Elvio Amparore
2021 IEEE Madrid PowerTech (2021)