Manuel Moussallam

60 papers A* 1A 8B 1Misc 6Journal 29Unranked 15
YearRankTypeTitle / Venue / Authors
2025 A conf
"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation.
RecSys
Viet-Anh Tran, Bruno Sguerra, Gabriel Meseguer-Brocal, Léa Briand, Manuel Moussallam
2025 J jnl
"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation.
CoRR
Viet-Anh Tran, Bruno Sguerra, Gabriel Meseguer-Brocal, Léa Briand, Manuel Moussallam
2025 A conf
Biases in LLM-Generated Musical Taste Profiles for Recommendation.
RecSys
Bruno Sguerra, Elena V. Epure, Harin Lee, Manuel Moussallam
2025 J jnl
Biases in LLM-Generated Musical Taste Profiles for Recommendation.
CoRR
Bruno Sguerra, Elena V. Epure, Harin Lee, Manuel Moussallam
2025 A conf
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
RecSys
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025 J jnl
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
CoRR
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025 J jnl
Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization.
CoRR
Bernardo Torres, Manuel Moussallam, Gabriel Meseguer-Brocal
2025 — conf
Modeling Musical Genre Trajectories through Pathlet Learning.
UMAP (Adjunct Publication)
Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam
2025 J jnl
Modeling Musical Genre Trajectories through Pathlet Learning.
CoRR
Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam
2025 J jnl
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation.
CoRR
Elena V. Epure, Yashar Deldjoo, Bruno Sguerra, Markus Schedl, Manuel Moussallam
2025 A conf
Uncertainty in Repeated Implicit Feedback as a Measure of Reliability.
UMAP
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam
2025 J jnl
Uncertainty in Repeated Implicit Feedback as a Measure of Reliability.
CoRR
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam
2024 J jnl
Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences.
Trans. Int. Soc. Music. Inf. Retr.
Kristina Matrosova, Manuel Moussallam, Thomas Louail, Olivier Bodini
2024 A conf
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data.
RecSys
Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam
2024 J jnl
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data.
CoRR
Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam
2024 — conf
From Real to Cloned Singer Identification.
ISMIR
Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam
2024 J jnl
From Real to Cloned Singer Identification.
CoRR
Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam
2024 B conf
Modeling Activity-Driven Music Listening with PACE.
CHIIR
Lilian Marey, Bruno Sguerra, Manuel Moussallam
2024 J jnl
Modeling Activity-Driven Music Listening with PACE.
CoRR
Lilian Marey, Bruno Sguerra, Manuel Moussallam
2023 — conf
Understanding individual and collective diversity of cultural consumption through large-scale music listening events.
CHR
Harin Lee, Romain Hennequin, Manuel Moussallam
2022 J jnl
Explainability in Music Recommender Systems.
AI Mag.
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022 J jnl
Explainability in Music Recommender Systems.
CoRR
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022 A conf
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain.
UMAP
Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam
2022 — conf
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening.
CHI Extended Abstracts
Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart, Samuel Coavoux, Noé Latreille de Fozières, Brenda Le Bigot, Yann Renisio, Manuel Moussallam, Thomas Louail
2022 J jnl
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening.
CoRR
Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart, Samuel Coavoux, Noé Latreille de Fozières, Brenda Le Bigot, Yann Renisio, Manuel Moussallam, Thomas Louail
2021 J jnl
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding.
Neural Networks
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
2021 A conf
Follow the guides: disentangling human and algorithmic curation in online music consumption.
RecSys
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth
2021 J jnl
Follow the guides: disentangling human and algorithmic curation in online music consumption.
CoRR
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth
2021 A conf
Hierarchical Latent Relation Modeling for Collaborative Metric Learning.
RecSys
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
2021 J jnl
Hierarchical Latent Relation Modeling for Collaborative Metric Learning.
CoRR
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
2021 — conf
Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ).
TALN (1)
Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin
2021 — conf
The Words Remain the Same: Cover Detection with Lyrics Transcription.
ISMIR
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard
2021 — conf
User-centered evaluation of lyrics-to-audio alignment.
ISMIR
Ninon Lizé Masclef, Andrea Vaglio, Manuel Moussallam
2020 Misc conf
Audio-Based Detection of Explicit Content in Music.
ICASSP
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
2020 J jnl
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding.
CoRR
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
2020 — conf
Modeling the Music Genre Perception across Language-Bound Cultures.
EMNLP (1)
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
2020 J jnl
Modeling the Music Genre Perception across Language-Bound Cultures.
CoRR
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
2020 — conf
Multilingual lyrics-to-audio alignment.
ISMIR
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
2020 J jnl
Spleeter: a fast and efficient music source separation tool with pre-trained models.
J. Open Source Softw.
Romain Hennequin, Anis Khlif, Félix Voituret, Manuel Moussallam
2019 A* conf
Improving Collaborative Metric Learning with Efficient Negative Sampling.
SIGIR
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
2019 J jnl
Improving Collaborative Metric Learning with Efficient Negative Sampling.
CoRR
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
2018 J jnl
Audio Based Disambiguation Of Music Genre Tags.
CoRR
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
2018 — conf
Audio Based Disambiguation of Music Genre Tags.
ISMIR
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
2018 — conf
Disambiguating Music Artists at Scale with Audio Metric Learning.
ISMIR
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
2018 J jnl
Disambiguating Music Artists at Scale with Audio Metric Learning.
CoRR
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
2018 J jnl
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net.
CoRR
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
2018 — conf
Music Mood Detection Based on Audio and Lyrics with Deep Neural Net.
ISMIR
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
2018 — conf
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis.
ECML/PKDD (1)
Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam
2017 Misc conf
Codec independent lossy audio compression detection.
ICASSP
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
2015 J jnl
Listening to features.
CoRR
Manuel Moussallam, Antoine Liutkus, Laurent Daudet
2014 Misc conf
A general framework for dictionary based audio fingerprinting.
ICASSP
Manuel Moussallam, Laurent Daudet
2014 J jnl
Blind Denoising with Random Greedy Pursuits.
IEEE Signal Process. Lett.
Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard
2013 J jnl
Blind Denoising with Random Greedy Pursuits.
CoRR
Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard
2012 — conf
A framework for fingerprint-based detection of repeating objects in multimedia streams.
EUSIPCO
Sébastien Fenet, Manuel Moussallam, Yves Grenier, Gaël Richard, Laurent Daudet
2012 — conf
Audio source separation informed by redundancy with greedy multiscale decompositions.
EUSIPCO
Manuel Moussallam, Gaël Richard, Laurent Daudet
2012 J jnl
Matching Pursuits with random sequential subdictionaries.
Signal Process.
Manuel Moussallam, Laurent Daudet, Gaël Richard
2012 Misc conf
Random time-frequency subdictionary design for sparse representations with greedy algorithms.
ICASSP
Manuel Moussallam, Laurent Daudet, Gaël Richard
2011 Misc conf
Audio Signal Representations for Factorization in the Sparse Domain.
ICASSP
Manuel Moussallam, Laurent Daudet, Gaël Richard
2011 J jnl
Matching Pursuits with Random Sequential Subdictionaries
CoRR
Manuel Moussallam, Laurent Daudet, Gaël Richard
2010 Misc conf
Sound enhancement using sparse approximation with speclets.
ICASSP
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz Sbai