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
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