Riccardo Balia

According to our database, Riccardo Balia authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking.

Srishti Gupta, Riccardo Balia, Daniele Angioni, Fabio Brau, Maura Pintor, Ambra Demontis, Alessandro Sebastian, Salvatore M. Carta, Fabio Roli, Battista Biggio

CoRR, December, 2025

A deep learning strategy for the 3D segmentation of colorectal tumors from ultrasound imaging.

Alessandro Sebastian Podda, Riccardo Balia, Marco Manolo Manca, Jacopo Martellucci, Livio Pompianu

Image Vis. Comput., 2025

2024

Multi-scale deep learning ensemble for segmentation of endometriotic lesions.

Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Manuela Neri, Stefano Guerriero, Leonardo Piano

Neural Comput. Appl., August, 2024

CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis.

Alessandro Sebastian Podda, Riccardo Balia, Livio Pompianu, Salvatore Carta, Gianni Fenu, Roberto Saia

Digit. Signal Process., 2024

Automated Classification of Test Tubes Based on Uncontrolled Image Analysis.

Riccardo Balia, Silvio Barra, Alessandro Sebastian Podda, Livio Pompianu, Mara Sangiovanni, Gianni Fenu

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

EEG Biometrics with GAN Integration for Secure Smart City Data Access.

Roberto Saia, Riccardo Balia, Alessandro Sebastian Podda, Livio Pompianu, Salvatore Carta, Alessia Pisu

Proceedings of the Computer-Human Interaction Research and Applications, 2024

Enhancing EEG-Based User Verification with a Normalized Neural Network Ensemble Approach.

Roberto Saia, Riccardo Balia, Alessandro Sebastian Podda, Livio Pompianu, Salvatore Carta, Alessia Pisu

Proceedings of the Computer-Human Interaction Research and Applications, 2024

2022

Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images.

Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Leonardo Piano

J. Comput. Sci., 2022

A comparison of audio-based deep learning methods for detecting anomalous road events.

Riccardo Balia, Alessandro Giuliani, Leonardo Piano, Alessia Pisu, Roberto Saia, Nicola Sansoni

Proceedings of the 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2022) / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2022), 2022

2021

A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition.

Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda, Nicola Sansoni

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Decomposing Training Data to Improve Network Intrusion Detection Performance.

Roberto Saia, Alessandro Sebastian Podda, Gianni Fenu, Riccardo Balia

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021