Spectral Characterization of the Multi-Seasonal Component of the Italian Electric Load: A LASSO-FFT Approach. - Alessandro Incremona; Giuseppe De Nicolao (IEEE Control. Syst. Lett., 2020)

Aggregation of nonlinearly enhanced experts with application to electricity load forecasting. - Alessandro Incremona; Giuseppe De Nicolao; Francesco Fusco; Bradley J. Eck; Seshu Tirupathi (Appl. Soft Comput., 2021)

Regularization methods for the short-term forecasting of the Italian electric load. - Alessandro Incremona; Giuseppe De Nicolao (CoRR, 2021)

Short-term forecasting of the Italian load demand during the Easter Week. - Alessandro Incremona; Giuseppe De Nicolao (Neural Comput. Appl., 2022)

Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. - Enrico Barbierato; Alice Gatti; Alessandro Incremona; Andrea Pozzi; Daniele Toti (IEEE Access, 2025)

Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems. - Andrea Pozzi; Alessandro Incremona; Daniele Toti (IEEE Access, 2025)

Mitigating exposure bias in large language model distillation: an imitation learning approach. - Andrea Pozzi; Alessandro Incremona; Daniele Tessera; Daniele Toti (Neural Comput. Appl., 2025)

Imitation learning-driven approximation of stochastic control models. - Andrea Pozzi; Alessandro Incremona; Daniele Toti (Appl. Intell., 2025)