Supervised Contrastive Learning for Respiratory Sound Classification. - Ilyass Moummad; Nicolas Farrugia (CoRR, 2022)

Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning. - Ilyass Moummad; Nicolas Farrugia (WASPAA, 2023)

Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. - Ilyass Moummad; Romain Serizel; Nicolas Farrugia (CoRR, 2023)

Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. - Ilyass Moummad; Romain Serizel; Nicolas Farrugia (CoRR, 2023)

Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. - Ilyass Moummad; Nicolas Farrugia; Romain Serizel; Jeremy Froidevaux; Vincent Lostanlen (EUSIPCO, 2024)

Self-Supervised Learning for Few-Shot Bird Sound Classification. - Ilyass Moummad; Nicolas Farrugia; Romain Serizel (ICASSP Workshops, 2024)

Domain-Invariant Representation Learning of Bird Sounds. - Ilyass Moummad; Romain Serizel; Emmanouil Benetos; Nicolas Farrugia (CoRR, 2024)

Invariant representation learning for few-shot bioacoustic event detection and classification. (Apprentissage de représentations invariantes pour la détection et la classification d'événements bioacoustiques dans des scénarios d'apprentissage à partir de peu d'exemples). - Ilyass Moummad (2024)

Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning. - Inês Nolasco; Ilyass Moummad; Dan Stowell; Emmanouil Benetos (ICASSP, 2025)

Can Masked Autoencoders Also Listen to Birds? - Lukas Rauch; René Heinrich; Ilyass Moummad; Alexis Joly; Bernhard Sick; Christoph Scholz 001 (Trans. Mach. Learn. Res., 2025)