Alessandro Incremona

According to our database, Alessandro Incremona authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Imitation learning-driven approximation of stochastic control models.

Andrea Pozzi, Alessandro Incremona, Daniele Toti

Appl. Intell., August, 2025

Mitigating exposure bias in large language model distillation: an imitation learning approach.

Andrea Pozzi, Alessandro Incremona, Daniele Tessera, Daniele Toti

Neural Comput. Appl., June, 2025

Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems.

Andrea Pozzi, Alessandro Incremona, Daniele Toti

IEEE Access, 2025

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

2022

Short-term forecasting of the Italian load demand during the Easter Week.

Alessandro Incremona, Giuseppe De Nicolao

Neural Comput. Appl., 2022

2021

Regularization methods for the short-term forecasting of the Italian electric load.

Alessandro Incremona, Giuseppe De Nicolao

CoRR, 2021

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

2020

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