Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning I Moummad, N Farrugia IEEE Workshop on Applications of Signal Processing to Audio and Acoustics 2023, 2023 | 18* | 2023 |
The impact of resampling and denoising deep learning algorithms on radiomics in brain metastases MRI I Moummad, C Jaudet, A Lechervy, S Valable, C Raboutet, Z Soilihi, ... Cancers 14 (1), 36, 2021 | 11 | 2021 |
Supervised Contrastive Learning for Pre-training Bioacoustic Few-shot Systems I Moummad, R Serizel, N Farrugia DCASE2023 Challenge Task 5 Report, 2023 | 5 | 2023 |
Pretraining Representations for Bioacoustic Few-Shot Detection Using Supervised Contrastive Learning I Moummad, R Serizel, N Farrugia Workshop on Detection and Classification of Acoustic Scenes and Events 2023, 2023 | 3 | 2023 |
Self-Supervised Learning for Few-Shot Bird Sound Classification I Moummad, R Serizel, N Farrugia ICASSPW 2024 IEEE International Conference on Acoustics, Speech and Signal …, 2024 | 2 | 2024 |
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection I Moummad, R Serizel, N Farrugia ICASSP 2024 IEEE International Conference on Acoustics, Speech and Signal …, 2024 | 2 | 2024 |
Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments R Lemaire, C Raboutet, T Leleu, C Jaudet, L Dessoude, F Missohou, ... Cancer/Radiothérapie, 2024 | | 2024 |
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds I Moummad, N Farrugia, R Serizel, J Froidevaux, V Lostanlen European Signal Processing Conference (EUSIPCO) 2024, 2024 | | 2024 |
Apprentissage supervisé et contrastif de représentations à l’aide de réseaux siamois pour la classification hiérarchique I Moummad, N Farrugia GRETSI 2023, 2023 | | 2023 |