Riccardo Balia

PhD Student

Research Interests: deep learning, computer vision, audio analysis

About Me

Riccardo Balia is a Ph.D. student at the University of Cagliari, where he previously received his BSc and MSc in Computer Science. He is currently member of the Artificial Intelligence and Big Data Laboratory in the University of Cagliari, and partecipates in several research projects. His research fields include computer vision, audio analysis, and deep/machine learning applicated to different domains, e.g. computer-aided diagnosis, smart cities, energy.

Publications (4)

All 2022 2021

Document title	Author	Years	Source
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images	Podda A.S., Balia R., Barra S., Carta S., Fenu G., Piano L.,	2022	Journal of Computational Science
A comparison of audio-based deep learning methods for detecting anomalous road events	Balia R., Giuliani A., Piano L., Pisu A., Saia R., Sansoni N.,	2022	Procedia Computer Science
Decomposing Training Data to Improve Network Intrusion Detection Performance	Saia R., Podda A.S., Fenu G., Balia R.,	2021	International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings
A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition	Balia R., Barra S., Carta S., Fenu G., Podda A.S., Sansoni N.,	2021	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Podda A.S., Balia R., Barra S., Carta S., Fenu G., Piano L., Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images (2022), Journal of Computational Science

Balia R., Giuliani A., Piano L., Pisu A., Saia R., Sansoni N., A comparison of audio-based deep learning methods for detecting anomalous road events (2022), Procedia Computer Science

Saia R., Podda A.S., Fenu G., Balia R., Decomposing Training Data to Improve Network Intrusion Detection Performance (2021), International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings

Balia R., Barra S., Carta S., Fenu G., Podda A.S., Sansoni N., A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)