Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. - David Perera; Slim Essid; Gaël Richard (DCASE, 2022)

Development and user testing study of MozzHub: a bipartite network-based dengue hotspot detector. - Jane Labadin; Boon Hao Hong; Wei King Tiong; Balvinder Singh Gill; David Perera; Andrew Ragai Henry Rigit; Sarbhan Singh; Cia Vei Tan; Sumarni Mohd Ghazali; Jenarun Jelip; Norhayati Mokhtar; Norafidah binti Abdul Rashid; et al. (Multim. Tools Appl., 2023)

Invariance-Based Layer Regularization for Sound Event Detection. - David Perera; Slim Essid; Gaël Richard (EUSIPCO, 2024)

Winner-takes-all learners are geometry-aware conditional density estimators. - Victor Letzelter; David Perera; Cédric Rommel; Mathieu Fontaine 002; Slim Essid; Gaël Richard; Patrick Pérez (ICML, 2024)

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. - David Perera; Victor Letzelter; Théo Mariotte; Adrien Cortés; Mickaël Chen; Slim Essid; Gaël Richard (NeurIPS, 2024)

Multiple Choice Learning for Efficient Speech Separation with Many Speakers. - David Perera; François Derrida; Théo Mariotte; Gaël Richard; Slim Essid (ICASSP, 2025)

Ambiguity and Invariance in Machine Listening. (Ambiguïté et invariance dans l'écoute automatique). - David Perera (2025)