Vittorio Mazzia

According to our database, Vittorio Mazzia authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

A Survey on Knowledge Editing of Neural Networks.

Vittorio Mazzia, Alessandro Pedrani, Andrea Caciolai, Kay Rottmann, Davide Bernardi

CoRR, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization.

Simone Angarano, Mauro Martini, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge

CoRR, 2022

Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization.

Simone Angarano, Francesco Salvetti, Vittorio Mazzia, Giovanni Fantin, Dario Gandini, Marcello Chiaberge

Proceedings of the Intelligent Computing, 2022

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

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

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops.

Simone Cerrato, 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

Efficient-CapsNet: Capsule Network with Self-Attention Routing.

Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

CoRR, 2021

DeepWay: A Deep Learning waypoint estimator for global path generation.

Vittorio Mazzia, Francesco Salvetti, Diego Aghi, Marcello Chiaberge

Comput. Electron. Agric., 2021

Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows.

Diego Aghi, Simone Cerrato, Vittorio Mazzia, Marcello Chiaberge

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband.

Enrico Sutera, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

An Adaptive Row Crops Path Generator with Deep Learning Synergy.

Simone Cerrato, Diego Aghi, Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

Proceedings of the 6th Asia-Pacific Conference on Intelligent Robot Systems, 2021

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

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

DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning.

Vittorio Mazzia, Francesco Salvetti, Diego Aghi, 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

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

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

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

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

2019

Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays.

Vittorio Mazzia, Angelo Tartaglia, Marcello Chiaberge, Dario Gandini

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

2017

Use of Deep Learning for Automatic Detection of Cracks in Tunnels.

Vittorio Mazzia, Fred Daneshgaran, Marina Mondin

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017