Modeling Edge Features with Deep Bayesian Graph Networks. - Daniele Atzeni; Davide Bacciu; Federico Errica; Alessio Micheli (IJCNN, 2021)

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques. - Daniele Atzeni; Davide Bacciu; Daniele Mazzei; Giuseppe Prencipe (Sensors, 2022)

Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases. - Daniele Atzeni; Reshawn Ramjattan; Roberto Figliè; Giacomo Baldi; Daniele Mazzei (Sensors, 2023)

GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. - Edoardo Urettini; Daniele Atzeni; Reshawn Ramjattan; Antonio Carta (CIKM, 2024)

Comparative Evaluation of Continual Learning Methods in Financial and Industrial Time-Series Data. - Reshawn Ramjattan; Daniele Atzeni; Daniele Mazzei (IJCNN, 2024)

GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. - Edoardo Urettini; Daniele Atzeni; Reshawn J. Ramjattan; Antonio Carta (CoRR, 2024)