BALIA, RICCARDO
BALIA, RICCARDO
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.011 secondi).
CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis
2024-01-01 Podda, Alessandro Sebastian; Balia, Riccardo; Pompianu, Livio; Carta, Salvatore; Fenu, Gianni; Saia, Roberto
Multi-scale deep learning ensemble for segmentation of endometriotic lesions
2024-01-01 Podda, Alessandro Sebastian; Balia, Riccardo; Barra, Silvio; Carta, Salvatore; Neri, Manuela; Guerriero, Stefano; Piano, Leonardo
A comparison of audio-based deep learning methods for detecting anomalous road events
2022-01-01 Balia, R.; Giuliani, A.; Piano, L.; Pisu, A.; Saia, R.; Sansoni, N.
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images
2022-01-01 Podda, A. S.; Balia, R.; Barra, S.; Carta, S.; Fenu, G.; Piano, L.
Decomposing Training Data to Improve Network Intrusion Detection Performance
2021-01-01 Saia, R.; Podda, A. S.; Fenu, G.; Balia, R.
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
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CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis | 1-gen-2024 | Podda, Alessandro Sebastian; Balia, Riccardo; Pompianu, Livio; Carta, Salvatore; Fenu, Gianni; Saia, Roberto | DIGITAL SIGNAL PROCESSING | - |
Multi-scale deep learning ensemble for segmentation of endometriotic lesions | 1-gen-2024 | Podda, Alessandro Sebastian; Balia, Riccardo; Barra, Silvio; Carta, Salvatore; Neri, Manuela; Guerriero, Stefano; Piano, Leonardo | NEURAL COMPUTING & APPLICATIONS | - |
A comparison of audio-based deep learning methods for detecting anomalous road events | 1-gen-2022 | Balia, R.; Giuliani, A.; Piano, L.; Pisu, A.; Saia, R.; Sansoni, N. | PROCEDIA COMPUTER SCIENCE | - |
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images | 1-gen-2022 | Podda, A. S.; Balia, R.; Barra, S.; Carta, S.; Fenu, G.; Piano, L. | JOURNAL OF COMPUTATIONAL SCIENCE | - |
Decomposing Training Data to Improve Network Intrusion Detection Performance | 1-gen-2021 | Saia, R.; Podda, A. S.; Fenu, G.; Balia, R. | - | Science and Technology Publications, Lda |