Sound enhancement using sparse approximation with speclets. - Manuel Moussallam; Pierre Leveau; Si-Mohamed Aziz Sbai (ICASSP, 2010)

Audio Signal Representations for Factorization in the Sparse Domain. - Manuel Moussallam; Laurent Daudet; Gaël Richard (ICASSP, 2011)

A framework for fingerprint-based detection of repeating objects in multimedia streams. - Sébastien Fenet; Manuel Moussallam; Yves Grenier; Gaël Richard; Laurent Daudet (EUSIPCO, 2012)

Audio source separation informed by redundancy with greedy multiscale decompositions. - Manuel Moussallam; Gaël Richard; Laurent Daudet (EUSIPCO, 2012)

Random time-frequency subdictionary design for sparse representations with greedy algorithms. - Manuel Moussallam; Laurent Daudet; Gaël Richard (ICASSP, 2012)

Matching Pursuits with random sequential subdictionaries. - Manuel Moussallam; Laurent Daudet; Gaël Richard (Signal Process., 2012)

A general framework for dictionary based audio fingerprinting. - Manuel Moussallam; Laurent Daudet (ICASSP, 2014)

Blind Denoising with Random Greedy Pursuits. - Manuel Moussallam; Alexandre Gramfort; Laurent Daudet; Gaël Richard (IEEE Signal Process. Lett., 2014)

Listening to features. - Manuel Moussallam; Antoine Liutkus; Laurent Daudet (CoRR, 2015)

Codec independent lossy audio compression detection. - Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (ICASSP, 2017)

Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. - Rémi Delbouys; Romain Hennequin; Francesco Piccoli; Jimena Royo-Letelier; Manuel Moussallam (ISMIR, 2018)

Audio Based Disambiguation of Music Genre Tags. - Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (ISMIR, 2018)

Disambiguating Music Artists at Scale with Audio Metric Learning. - Jimena Royo-Letelier; Romain Hennequin; Viet-Anh Tran; Manuel Moussallam (ISMIR, 2018)

Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. - Saeed Varasteh Yazdi; Ahlame Douzal Chouakria; Patrick Gallinari; Manuel Moussallam (ECML/PKDD (1), 2018)

Improving Collaborative Metric Learning with Efficient Negative Sampling. - Viet-Anh Tran; Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (SIGIR, 2019)

Modeling the Music Genre Perception across Language-Bound Cultures. - Elena V. Epure; Guillaume Salha; Manuel Moussallam; Romain Hennequin (EMNLP (1), 2020)

Audio-Based Detection of Explicit Content in Music. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard; Florence d'Alché-Buc (ICASSP, 2020)

Multilingual lyrics-to-audio alignment. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard; Florence d'Alché-Buc (ISMIR, 2020)

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (CoRR, 2020)

Spleeter: a fast and efficient music source separation tool with pre-trained models. - Romain Hennequin; Anis Khlif; Félix Voituret; Manuel Moussallam (J. Open Source Softw., 2020)

User-centered evaluation of lyrics-to-audio alignment. - Ninon Lizé Masclef; Andrea Vaglio; Manuel Moussallam (ISMIR, 2021)

The Words Remain the Same: Cover Detection with Lyrics Transcription. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard (ISMIR, 2021)

Hierarchical Latent Relation Modeling for Collaborative Metric Learning. - Viet-Anh Tran; Guillaume Salha-Galvan; Romain Hennequin; Manuel Moussallam (RecSys, 2021)

Follow the guides: disentangling human and algorithmic curation in online music consumption. - Quentin Villermet; Jérémie Poiroux; Manuel Moussallam; Thomas Louail; Camille Roth (RecSys, 2021)

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ). - Elena V. Epure; Guillaume Salha-Galvan; Manuel Moussallam; Romain Hennequin (TALN (1), 2021)

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (Neural Networks, 2021)

Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening. - Robin Cura; Amélie Beaumont; Jean-Samuel Beuscart; Samuel Coavoux; Noé Latreille de Fozières; Brenda Le Bigot; Yann Renisio; Manuel Moussallam; Thomas Louail (CHI Extended Abstracts, 2022)

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. - Bruno Sguerra; Marion Baranes; Romain Hennequin; Manuel Moussallam (UMAP, 2022)

Explainability in Music Recommender Systems. - Darius Afchar; Alessandro B. Melchiorre; Markus Schedl; Romain Hennequin; Elena V. Epure; Manuel Moussallam (AI Mag., 2022)

Understanding individual and collective diversity of cultural consumption through large-scale music listening events. - Harin Lee; Romain Hennequin; Manuel Moussallam (CHR, 2023)

Modeling Activity-Driven Music Listening with PACE. - Lilian Marey; Bruno Sguerra; Manuel Moussallam (CHIIR, 2024)

From Real to Cloned Singer Identification. - Dorian Desblancs; Gabriel Meseguer-Brocal; Romain Hennequin; Manuel Moussallam (ISMIR, 2024)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. - Kristina Matrosova; Lilian Marey; Guillaume Salha-Galvan; Thomas Louail; Olivier Bodini; Manuel Moussallam (RecSys, 2024)

Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences. - Kristina Matrosova; Manuel Moussallam; Thomas Louail; Olivier Bodini (Trans. Int. Soc. Music. Inf. Retr., 2024)

Modeling Musical Genre Trajectories through Pathlet Learning. - Lilian Marey; Charlotte Laclau; Bruno Sguerra; Tiphaine Viard; Manuel Moussallam (UMAP (Adjunct Publication), 2025)

Uncertainty in Repeated Implicit Feedback as a Measure of Reliability. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin; Manuel Moussallam (UMAP, 2025)

Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation. - Alessandro B. Melchiorre; Elena V. Epure; Shahed Masoudian; Gustavo Escobedo; Anna Hausberger; Manuel Moussallam; Markus Schedl (CoRR, 2025)

Biases in LLM-Generated Musical Taste Profiles for Recommendation. - Bruno Sguerra; Elena V. Epure; Harin Lee; Manuel Moussallam (CoRR, 2025)

"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation. - Viet-Anh Tran; Bruno Sguerra; Gabriel Meseguer-Brocal; Léa Briand; Manuel Moussallam (CoRR, 2025)