INCREMONA, ALESSANDRO

INCREMONA, ALESSANDRO  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Titolo Data di pubblicazione Autore(i) File
A differentiable and uncertainty-aware mutual information regularizer for bias mitigation 1-gen-2026 Incremona, Alessandro; Pozzi, Andrea; Guiscardi, Alessandro; Tessera, Daniele
A Personalised and Gamified Digital Decision Aid for Colorectal Cancer Screening: A Randomised Controlled Pilot Study 1-gen-2026 Celebrin, Mattia; Filosa, Asia; Anelli, Manuela; Brucchi, Francesco; La Torraca Vittori, Paolo; Incremona, Alessandro; Rogledi, Mattia; Summer, Alessandro; Vizzardi, Maria; Ghidini, Paola; Bregoli, Michela; Hoxha, Enri; Marazza, Giovanni; Gorini, Alessandra; Montomoli, Cristina
Aggregation of nonlinearly enhanced experts with application to electricity load forecasting 1-gen-2021 Incremona, A.; De Nicolao, G.; Fusco, F.; Eck, B. J.; Tirupathi, S.
Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning 1-gen-2025 Barbierato, E.; Gatti, A.; Incremona, A.; Pozzi, A.; Toti, D.
Imitation learning-driven approximation of stochastic control models 1-gen-2025 Pozzi, A.; Incremona, A.; Toti, D.
Machine Learning methods for long and short term energy demand forecasting 29-apr-2021 Incremona, Alessandro
Mitigating exposure bias in large language model distillation: an imitation learning approach 1-gen-2025 Pozzi, A.; Incremona, A.; Tessera, D.; Toti, D.
Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems 1-gen-2025 Pozzi, A.; Incremona, A.; Toti, D.
Short-term forecasting of the Italian load demand during the Easter Week 1-gen-2022 Incremona, Alessandro; A., and De Nicolao
Spectral Characterization of the Multi-Seasonal Component of the Italian Electric Load: A LASSO-FFT Approach 1-gen-2020 Incremona, A.; De Nicolao, G.