Use of Deep Learning for Automatic Detection of Cracks in Tunnels. - Vittorio Mazzia; Fred Daneshgaran; Marina Mondin (IIH-MSP (1), 2017)

Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays. - Vittorio Mazzia; Angelo Tartaglia; Marcello Chiaberge; Dario Gandini (LOD, 2019)

Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application. - Vittorio Mazzia; Aleem Khaliq; Francesco Salvetti; Marcello Chiaberge (IEEE Access, 2020)

Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN). - Vittorio Mazzia; Aleem Khaliq; Marcello Chiaberge (CoRR, 2020)

Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy. - Diego Aghi; Vittorio Mazzia; Marcello Chiaberge (CoRR, 2020)

Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks. - Francesco Salvetti; Vittorio Mazzia; Aleem Khaliq; Marcello Chiaberge (CoRR, 2020)

A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge. - Anna Boschi; Francesco Salvetti; Vittorio Mazzia; Marcello Chiaberge (CoRR, 2020)

DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning. - Vittorio Mazzia; Francesco Salvetti; Diego Aghi; Marcello Chiaberge (CoRR, 2020)

Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks. - Francesco Salvetti; Vittorio Mazzia; Aleem Khaliq; Marcello Chiaberge (Remote. Sens., 2020)

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. - Vittorio Mazzia; Lorenzo Comba; Aleem Khaliq; Marcello Chiaberge; Paolo Gay (Sensors, 2020)

An Adaptive Row Crops Path Generator with Deep Learning Synergy. - Simone Cerrato; Diego Aghi; Vittorio Mazzia; Francesco Salvetti; Marcello Chiaberge (ACIRS, 2021)

Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband. - Enrico Sutera; Vittorio Mazzia; Francesco Salvetti; Giovanni Fantin; Marcello Chiaberge (ICAART (1), 2021)

Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows. - Diego Aghi; Simone Cerrato; Vittorio Mazzia; Marcello Chiaberge (IROS, 2021)

DeepWay: A Deep Learning waypoint estimator for global path generation. - Vittorio Mazzia; Francesco Salvetti; Diego Aghi; Marcello Chiaberge (Comput. Electron. Agric., 2021)

Efficient-CapsNet: Capsule Network with Self-Attention Routing. - Vittorio Mazzia; Francesco Salvetti; Marcello Chiaberge (CoRR, 2021)

Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition. - Vittorio Mazzia; Simone Angarano; Francesco Salvetti; Federico Angelini; Marcello Chiaberge (CoRR, 2021)

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops. - Simone Cerrato; Vittorio Mazzia; Francesco Salvetti; Marcello Chiaberge (CoRR, 2021)

Robust ultra-wideband range error mitigation with deep learning at the edge. - Simone Angarano; Vittorio Mazzia; Francesco Salvetti; Giovanni Fantin; Marcello Chiaberge (Eng. Appl. Artif. Intell., 2021)

Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery. - Mauro Martini; Vittorio Mazzia; Aleem Khaliq; Marcello Chiaberge (Remote. Sens., 2021)

Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization. - Simone Angarano; Francesco Salvetti; Vittorio Mazzia; Giovanni Fantin; Dario Gandini; Marcello Chiaberge (SAI (2), 2022)

Action Transformer: A self-attention model for short-time pose-based human action recognition. - Vittorio Mazzia; Simone Angarano; Francesco Salvetti; Federico Angelini; Marcello Chiaberge (Pattern Recognit., 2022)

Exploring Subgroup Performance in End-to-End Speech Models. - Alkis Koudounas; Eliana Pastor; Giuseppe Attanasio; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Luca Cagliero; Luca de Alfaro; Elena Baralis; Daniele Amberti (ICASSP, 2023)

Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. - Alkis Koudounas; Eliana Pastor; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Elisa Reale; Giuseppe Attanasio; Luca Cagliero; Sandro Cumani; Luca De Alfaro; Elena Baralis; Daniele Amberti (ICASSP Workshops, 2024)

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops. - Simone Cerrato; Vittorio Mazzia; Francesco Salvetti; Mauro Martini; Simone Angarano; Alessandro Navone; Marcello Chiaberge (IEEE Access, 2024)

Back-to-Bones: Rediscovering the role of backbones in domain generalization. - Simone Angarano; Mauro Martini; Francesco Salvetti; Vittorio Mazzia; Marcello Chiaberge (Pattern Recognit., 2024)

Towards Comprehensive Subgroup Performance Analysis in Speech Models. - Alkis Koudounas; Eliana Pastor; Giuseppe Attanasio; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Elisa Reale; Luca Cagliero; Sandro Cumani; Luca de Alfaro; Elena Baralis; Daniele Amberti (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs. - Luca Cagliero; Lorenzo Vaiani; Eliana Pastor; Alkis Koudounas; Elena Baralis; Vittorio Mazzia; Sandro Pollastrini; Thomas Gueudré; Manuel Giollo; Daniele Amberti; Yue Wu (ACL (Findings), 2025)

A Survey on Knowledge Editing of Neural Networks. - Vittorio Mazzia; Alessandro Pedrani; Andrea Caciolai; Kay Rottmann; Davide Bernardi (IEEE Trans. Neural Networks Learn. Syst., 2025)