Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (I2MTC, 2021)

A Deep Learning approach for oocytes segmentation and analysis. - Paolo Andreini; Niccolò Pancino; Filippo Costanti; Gabriele Eusepi; Barbara Toniella Corradini (ESANN, 2022)

Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (IEEE Trans. Instrum. Meas., 2022)

A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. - Elia Landi; Filippo Spinelli; Matteo Intravaia; Marco Mugnaini; Ada Fort; Monica Bianchini; Barbara Toniella Corradini; Franco Scarselli; Marco Tanfoni (I2MTC, 2023)

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. - Barbara Toniella Corradini; Paolo Andreini; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (5), 2023)

Diff-Props: is Semantics Preserved within a Diffusion Model? - Simone Bonechi; Paolo Andreini; Barbara Toniella Corradini; Franco Scarselli (KES, 2024)

FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. - Barbara Toniella Corradini; Mustafa Shukor; Paul Couairon; Guillaume Couairon; Franco Scarselli; Matthieu Cord (CoRR, 2024)

An analysis of pre-trained stable diffusion models through a semantic lens. - Simone Bonechi; Paolo Andreini; Barbara Toniella Corradini; Franco Scarselli (Neurocomputing, 2025)