Towards Explainable Human Motion Prediction in Collaborative Robotics. - Michael Vanuzzo; Francesco Borsatti; Marco Casarin; Mattia Guidolin; Monica Reggiani; Stefano Michieletto (ERF (2), 2024)

Interpretable Data-Driven Anomaly Detection in Industrial Processes with ExIFFI. - Davide Frizzo; Francesco Borsatti; Alessio Arcudi; Antonio De Moliner; Roberto Oboe; Gian Antonio Susto (RTSI, 2024)

Supervised and Unsupervised Soft Sensors for Capsule Recognition in Espresso Coffee Machines. - Nicolas Tortora; Antonio De Moliner; Francesco Borsatti; Roberto Oboe; Gian Antonio Susto (RTSI, 2024)

PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. - Manuel Barusco; Francesco Borsatti; Davide Dalle Pezze; Francesco Paissan; Elisabetta Farella; Gian Antonio Susto (CVPR Workshops, 2025)

From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms. - Manuel Barusco; Francesco Borsatti; Davide Dalle Pezze; Francesco Paissan; Elisabetta Farella; Gian Antonio Susto (CoRR, 2025)

Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection. - Manuel Barusco; Lorenzo D'Antoni; Davide Dalle Pezze; Francesco Borsatti; Gian Antonio Susto (CoRR, 2025)

Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression. - Arianna Stropeni; Francesco Borsatti; Manuel Barusco; Davide Dalle Pezze; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study. - Manuel Barusco; Francesco Borsatti; Youssef Ben Khalifa; Davide Dalle Pezze; Gian Antonio Susto (CoRR, 2025)

A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models. - Davide Frizzo; Francesco Borsatti; Gian Antonio Susto (CoRR, 2025)

MoViAD: A Modular Library for Visual Anomaly Detection. - Manuel Barusco; Francesco Borsatti; Arianna Stropeni; Davide Dalle Pezze; Gian Antonio Susto (CoRR, 2025)