Manuel Moussallam

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Topics

Metric Learning

Top Venues

Publications

Kristina Matrosova, Manuel Moussallam, Thomas Louail, Olivier Bodini
Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences. Trans. Int. Soc. Music. Inf. Retr. 7 (1) (2024)
Lilian Marey, Bruno Sguerra, Manuel Moussallam
Modeling Activity-Driven Music Listening with PACE. CoRR (2024)
Lilian Marey, Bruno Sguerra, Manuel Moussallam
Modeling Activity-Driven Music Listening with PACE. CHIIR (2024)
Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam
From Real to Cloned Singer Identification. CoRR (2024)
Harin Lee, Romain Hennequin, Manuel Moussallam
Understanding individual and collective diversity of cultural consumption through large-scale music listening events. CHR (2023)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. AI Mag. 43 (2) (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. CoRR (2022)
Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart, Samuel Coavoux, Noé Latreille de Fozières, Brenda Le Bigot, Yann Renisio, Manuel Moussallam, Thomas Louail
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening. CoRR (2022)
Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. UMAP (2022)
Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart, Samuel Coavoux, Noé Latreille de Fozières, Brenda Le Bigot, Yann Renisio, Manuel Moussallam, Thomas Louail
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening. CHI Extended Abstracts (2022)
Ninon Lizé Masclef, Andrea Vaglio, Manuel Moussallam
User-centered evaluation of lyrics-to-audio alignment. ISMIR (2021)
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. RecSys (2021)
Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin
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) (2021)
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth
Follow the guides: disentangling human and algorithmic curation in online music consumption. RecSys (2021)
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth
Follow the guides: disentangling human and algorithmic curation in online music consumption. CoRR (2021)
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142 (2021)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR (2021)
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. CoRR (2021)
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
Modeling the Music Genre Perception across Language-Bound Cultures. CoRR (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Audio-Based Detection of Explicit Content in Music. ICASSP (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Multilingual lyrics-to-audio alignment. ISMIR (2020)
Romain Hennequin, Anis Khlif, Félix Voituret, Manuel Moussallam
Spleeter: a fast and efficient music source separation tool with pre-trained models. J. Open Source Softw. 5 (56) (2020)
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
Modeling the Music Genre Perception across Language-Bound Cultures. EMNLP (1) (2020)
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR (2020)
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Improving Collaborative Metric Learning with Efficient Negative Sampling. SIGIR (2019)
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Improving Collaborative Metric Learning with Efficient Negative Sampling. CoRR (2019)
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. ISMIR (2018)
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
Disambiguating Music Artists at Scale with Audio Metric Learning. ISMIR (2018)
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. CoRR (2018)
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
Disambiguating Music Artists at Scale with Audio Metric Learning. CoRR (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Audio Based Disambiguation of Music Genre Tags. ISMIR (2018)
Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Audio Based Disambiguation Of Music Genre Tags. CoRR (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Codec independent lossy audio compression detection. ICASSP (2017)
Manuel Moussallam, Antoine Liutkus, Laurent Daudet
Listening to features. CoRR (2015)
Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard
Blind Denoising with Random Greedy Pursuits. IEEE Signal Process. Lett. 21 (11) (2014)
Manuel Moussallam, Laurent Daudet
A general framework for dictionary based audio fingerprinting. ICASSP (2014)
Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard
Blind Denoising with Random Greedy Pursuits. CoRR (2013)
Manuel Moussallam, Gaël Richard, Laurent Daudet
Audio source separation informed by redundancy with greedy multiscale decompositions. EUSIPCO (2012)
Manuel Moussallam, Laurent Daudet, Gaël Richard
Random time-frequency subdictionary design for sparse representations with greedy algorithms. ICASSP (2012)
Sébastien Fenet, Manuel Moussallam, Yves Grenier, Gaël Richard, Laurent Daudet
A framework for fingerprint-based detection of repeating objects in multimedia streams. EUSIPCO (2012)
Manuel Moussallam, Laurent Daudet, Gaël Richard
Matching Pursuits with random sequential subdictionaries. Signal Process. 92 (10) (2012)
Manuel Moussallam, Laurent Daudet, Gaël Richard
Audio Signal Representations for Factorization in the Sparse Domain. ICASSP (2011)
Manuel Moussallam, Laurent Daudet, Gaël Richard
Matching Pursuits with Random Sequential Subdictionaries CoRR (2011)
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz Sbai
Sound enhancement using sparse approximation with speclets. ICASSP (2010)