Davide Dalle Pezze

44 papers A 1C 2Journal 36Unranked 5

Year	Rank	Type	Title / 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`	Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. IEEE Trans Autom. Sci. Eng. Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto
2026	J	`jnl`	Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, 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`	Guest Editorial:Beyond Classic Deep Learning: Algorithms for Dealing With Real-World Applications in Industrial Automation. IEEE Trans Autom. Sci. Eng. Gian Antonio Susto, Olga Fink, Seokho Kang, Lars Mönch, Davide Dalle Pezze
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`	Continual Learning for Behavior-based Driver Identification. Eng. Appl. Artif. Intell. Mattia Fanan, Davide Dalle Pezze, Emad Efatinasab, Ruggero Carli, Mirco Rampazzo, Gian Antonio Susto
2025	J	`jnl`	Continual learning approaches for anomaly detection. Evol. Syst. Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto
2025	J	`jnl`	Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. CoRR Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, 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	—	`conf`	Is Underrepresentation overemphasized? A study of data bias and algorithmic fairness. Ital-IA Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, 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	A	`conf`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. WACV Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, 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`	ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids. CoRR Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze, Gian Antonio Susto, Chuadhry Mujeeb Ahmed, Mirco Rampazzo
2025	J	`jnl`	Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection. CoRR Riccardo De Monte, Davide Dalle Pezze, 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
2025	J	`jnl`	Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond. CoRR Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond. Expert Syst. Appl. Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	—	`conf`	An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. PerCom Workshops Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2024	J	`jnl`	Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto
2024	J	`jnl`	Continual Learning for Behavior-based Driver Identification. CoRR Mattia Fanan, Davide Dalle Pezze, Emad Efatinasab, Ruggero Carli, Mirco Rampazzo, Gian Antonio Susto
2024	J	`jnl`	Fairness Evolution in Continual Learning for Medical Imaging. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	—	`conf`	Latent Distillation for Continual Object Detection at the Edge. ECCV Workshops (11) Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	J	`jnl`	Latent Distillation for Continual Object Detection at the Edge. CoRR Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	J	`jnl`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, 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	J	`jnl`	Replay Consolidation with Label Propagation for Continual Object Detection. CoRR Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	J	`jnl`	Tiny Robotics Dataset and Benchmark for Continual Object Detection. CoRR Francesco Pasti, Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto, Nicola Bellotto
2024	—	`conf`	Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CVPR Workshops Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2024	J	`jnl`	Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CoRR Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2023	J	`jnl`	A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2023	J	`jnl`	AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
2023	C	`conf`	Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto
2023	C	`conf`	VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni
2022	J	`jnl`	A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2022	J	`jnl`	Continual Learning Approaches for Anomaly Detection. CoRR Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto
2022	J	`jnl`	FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2021	J	`jnl`	AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto