ILYASS MOUMMAD

Publications

Communication dans un congrès (9)

Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models Ilyass Moummad,Kawtar Zaher,Lukas Rauch,Alexis Joly ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026, Barcelona, Spain Communication dans un congrès hal-05558414v1
Acoustic identification of individual animals with hierarchical contrastive learning Ines Nolasco,Ilyass Moummad,Dan Stowell,Emmanouil Benetos ICASSP 2025, Apr 2025, Hyderabad, India Communication dans un congrès hal-04925736v1
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds Ilyass Moummad,Nicolas Farrugia,Romain Serizel,Jeremy Froidevaux,Vincent Lostanlen EUSIPCO 2024: 32nd European Signal Processing Conference, Aug 2024, Lyon, France. pp.1282-1286, ⟨10.23919/EUSIPCO63174.2024.10715140⟩ Communication dans un congrès hal-04620733v1
Self-Supervised Learning for Few-Shot Bird Sound Classification Ilyass Moummad,Nicolas Farrugia,Romain Serizel ICASSPW 2024: IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, Apr 2024, Seoul, South Korea. ⟨10.1109/ICASSPW62465.2024.10627576⟩ Communication dans un congrès hal-04925735v1
Regularized Contrastive Pre-Training for Few-Shot Bioacoustic Sound Detection Ilyass Moummad,Nicolas Farrugia,Romain Serizel ICASSP 2024: IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Seoul, South Korea. ⟨10.1109/ICASSP48485.2024.10446409⟩ Communication dans un congrès hal-04925734v1
Pretraining Representations for Bioacoustic Few-Shot Detection using Supervised Contrastive Learning Ilyass Moummad,Romain Serizel,Nicolas Farrugia Detection and Classification of Acoustic Scenes and Events 2023, Sep 2023, TAMPERE, Finland Communication dans un congrès hal-04383609v1
Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning Ilyass Moummad,Nicolas Farrugia WASPAA 2023: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2023, New Paltz, NY, United States. ⟨10.1109/WASPAA58266.2023.10248130⟩ Communication dans un congrès hal-04165413v1
Apprentissage supervisé et contrastif de représentations à l'aide de réseaux siamois pour la classification hiérarchique Ilyass Moummad,Nicolas Farrugia GRETSI 2023 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France Communication dans un congrès hal-04925732v1
Contrastive Learning using Random Walk Laplacian Matrix Ilyass Moummad,Bastien Pasdeloup,Nicolas Farrugia Graph Signal Processing Workshop, 2023, Oxford, United Kingdom Communication dans un congrès hal-04639769v1

Son (1)

Audiocarnet - Deep Representation Learning from Unlabeled Bioacoustic Data Ilyass Moummad 2025 Son hal-05342505v1

Article dans une revue (2)

Can Masked Autoencoders Also Listen to Birds? Lukas Rauch,René Heinrich,Ilyass Moummad,Alexis Joly,Bernhard Sicket al. Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-05457126v1
Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments Raphaëlle Karine Lemaire,Charlotte Raboutet,Thomas Leleu,Cyril Jaudet,Loise Dessoudeet al. Cancer/Radiothérapie, 2024, ⟨10.1016/j.canrad.2023.11.004⟩ Article dans une revue (article de synthèse) hal-04618381v2

Pré-publication, Document de travail (1)

Domain-Invariant Representation Learning of Bird Sounds Ilyass Moummad,Romain Serizel,Emmanouil Benetos,Nicolas Farrugia 2024 Pré-publication, Document de travail hal-04696391v1

Thèse (1)

Invariant representation learning for few-shot bioacoustic event detection and classification Ilyass Moummad Signal and Image Processing. Ecole nationale supérieure Mines-Télécom Atlantique, 2024. English. ⟨NNT : 2024IMTA0442⟩ Thèse tel-05087691v1

Rapport (1)

Supervised contrastive learning for pre-training bioacoustic few-shot systems Ilyass Moummad,Romain Serizel,Nicolas Farrugia IMT Atlantique; LORIA. 2023 Rapport hal-04165306v1