Alan Perotti



Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company

C. Abrate, A. Angius, G. De Francisci Morales, S. Cozzini, F. Iadanza, L. Li Puma, S. Pavanelli, A. Perotti, S. Pignataro, S. Ronchiadin
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track (2021)

FairLens: Auditing black-box clinical decision support systems

C. Panigutti, A. Perotti, A. Panisson, P. Bajardi, D. Pedreschi
Information Processing & Management 58 (5), 102657 (2021)

Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis

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

C. Panigutti, A. Perotti, D. Pedreschi
Conference on Fairness, Accountability, and Transparency (FAT* 2020) (2020)

Quantitative and Ontology-Based Comparison of Explanations for Image Classification

V. Ghidini, A. Perotti, R. Schifanella
LOD 2019: Machine Learning, Optimization, and Data Science, vol. 11943. Springer, Cham (2020)

Modeling Urban Traffic Data Through Graph-Based Neural Networks

V. Pinto, A. Perotti, T. Cerquitelli
Conference paper - INNS Big Data and Deep Learning conference 1 (2019)

Understanding Network Traffic States using Transfer Learning

P. Krishnakumari, A. Perotti, V. Pinto, O. Cats, H. Van Lint
21st International Conference on Intelligent Transportation Systems (ITSC) (2018)

Deep Learning for Computer Vision: A practitioner’s viewpoint

Workshop at IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2018)