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)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track 237-252 (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
Elvio Amparore, Federico Cinus, Cristiano Maestri, Leonardo Petrocchi, Dario Polinelli, Fabio Scarpa, Alan Perotti, André Panisson, Paolo Bajardi
2021 IEEE Madrid PowerTech (2021)
FairLens: Auditing black-box clinical decision support systems
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Information Processing & Management58 (5), 102657 (2021)
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)
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis
Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi
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
Cecilia Panigutti, Alan Perotti, Dino Pedreschi
FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency 629–639 (2020)
Quantitative and Ontology-Based Comparison of Explanations for Image Classification
Valentina Ghidini, Alan Perotti, Rossano Schifanella
LOD 2019: Machine Learning, Optimization, and Data Science11943, 58-70 (2020)
Modeling Urban Traffic Data Through Graph-Based Neural Networks
Viviana Pinto, Alan Perotti, Tania Cerquitelli
INNS Big Data and Deep Learning conference1, 216-225 (2019)
Understanding Network Traffic States using Transfer Learning
Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans Van Lint
21st International Conference on Intelligent Transportation Systems (ITSC) (2018)
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)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track 237-252 (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
Elvio Amparore, Federico Cinus, Cristiano Maestri, Leonardo Petrocchi, Dario Polinelli, Fabio Scarpa, Alan Perotti, André Panisson, Paolo Bajardi
2021 IEEE Madrid PowerTech (2021)