Francesco Borsatti

19 papers Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection.
CoRR
Manuel Barusco, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2026 J jnl
Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices.
CoRR
Arianna Stropeni, Fabrizio Genilotti, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2026 J jnl
MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection.
CoRR
Jinwei Hu, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2026 J jnl
VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery.
CoRR
Fabrizio Genilotti, Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models.
CoRR
Davide Frizzo, Francesco Borsatti, Gian Antonio Susto
2025 J jnl
Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study.
CoRR
Manuel Barusco, Francesco Borsatti, Youssef Ben Khalifa, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
Explainable Visual Anomaly Detection via Concept Bottleneck Models.
CoRR
Arianna Stropeni, Valentina Zaccaria, Francesco Borsatti, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2025 J jnl
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms.
CoRR
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025 J jnl
Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection.
CoRR
Alessio Arcudi, Alessandro Ferreri, Francesco Borsatti, Gian Antonio Susto
2025 J jnl
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection.
CoRR
Manuel Barusco, Lorenzo D'Antoni, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2025 J jnl
MoViAD: A Modular Library for Visual Anomaly Detection.
CoRR
Manuel Barusco, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Gian Antonio Susto
2025 — conf
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.
CVPR Workshops
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025 J jnl
Towards Continual Visual Anomaly Detection in the Medical Domain.
CoRR
Manuel Barusco, Francesco Borsatti, Nicola Beda, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression.
CoRR
Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Marco Fabris, Gian Antonio Susto
2024 — conf
Interpretable Data-Driven Anomaly Detection in Industrial Processes with ExIFFI.
RTSI
Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto
2024 J jnl
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI.
CoRR
Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto
2024 J jnl
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.
CoRR
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2024 — conf
Supervised and Unsupervised Soft Sensors for Capsule Recognition in Espresso Coffee Machines.
RTSI
Nicolas Tortora, Antonio De Moliner, Francesco Borsatti, Roberto Oboe, Gian Antonio Susto
2024 — conf
Towards Explainable Human Motion Prediction in Collaborative Robotics.
ERF (2)
Michael Vanuzzo, Francesco Borsatti, Marco Casarin, Mattia Guidolin, Monica Reggiani, Stefano Michieletto