default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDManuel Moussallam
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j6]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): 15-29 (2024)- [c25]Lilian Marey, Bruno Sguerra, Manuel Moussallam:
Modeling Activity-Driven Music Listening with PACE. CHIIR 2024: 346-351 - [c24]Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam:
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. RecSys 2024: 148-157 - [i16]Lilian Marey, Bruno Sguerra, Manuel Moussallam:
Modeling Activity-Driven Music Listening with PACE. CoRR abs/2405.01417 (2024) - [i15]Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam:
From Real to Cloned Singer Identification. CoRR abs/2407.08647 (2024) - [i14]Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam:
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. CoRR abs/2408.16430 (2024) - 2023
- [c23]Harin Lee, Romain Hennequin, Manuel Moussallam:
Understanding individual and collective diversity of cultural consumption through large-scale music listening events. CHR 2023: 356-367 - 2022
- [j5]Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. AI Mag. 43(2): 190-208 (2022) - [c22]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: 23:1-23:9 - [c21]Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam:
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. UMAP 2022: 202-211 - [i13]Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. CoRR abs/2201.10528 (2022) - [i12]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 abs/2204.06809 (2022) - 2021
- [j4]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142: 1-19 (2021) - [c20]Ninon Lizé Masclef, Andrea Vaglio, Manuel Moussallam:
User-centered evaluation of lyrics-to-audio alignment. ISMIR 2021: 420-427 - [c19]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard:
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR 2021: 714-721 - [c18]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. RecSys 2021: 302-309 - [c17]Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth:
Follow the guides: disentangling human and algorithmic curation in online music consumption. RecSys 2021: 380-389 - [c16]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: 270-272 - [i11]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. CoRR abs/2108.04655 (2021) - [i10]Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth:
Follow the guides: disentangling human and algorithmic curation in online music consumption. CoRR abs/2109.03915 (2021) - 2020
- [j3]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): 2154 (2020) - [c15]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. EMNLP (1) 2020: 4765-4779 - [c14]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Audio-Based Detection of Explicit Content in Music. ICASSP 2020: 526-530 - [c13]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Multilingual lyrics-to-audio alignment. ISMIR 2020: 512-519 - [i9]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR abs/2002.01910 (2020) - [i8]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. CoRR abs/2010.06325 (2020)
2010 – 2019
- 2019
- [c12]Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. SIGIR 2019: 1201-1204 - [i7]Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. CoRR abs/1909.10912 (2019) - 2018
- [c11]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: 370-375 - [c10]Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. ISMIR 2018: 622-629 - [c9]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation of Music Genre Tags. ISMIR 2018: 645-652 - [c8]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: 356-372 - [i6]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation Of Music Genre Tags. CoRR abs/1809.07256 (2018) - [i5]Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam:
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. CoRR abs/1809.07276 (2018) - [i4]Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. CoRR abs/1810.01807 (2018) - 2017
- [c7]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Codec independent lossy audio compression detection. ICASSP 2017: 726-730 - 2015
- [i3]Manuel Moussallam, Antoine Liutkus, Laurent Daudet:
Listening to features. CoRR abs/1501.04981 (2015) - 2014
- [j2]Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard:
Blind Denoising with Random Greedy Pursuits. IEEE Signal Process. Lett. 21(11): 1341-1345 (2014) - [c6]Manuel Moussallam, Laurent Daudet:
A general framework for dictionary based audio fingerprinting. ICASSP 2014: 3077-3081 - 2013
- [i2]Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard:
Blind Denoising with Random Greedy Pursuits. CoRR abs/1312.5444 (2013) - 2012
- [j1]Manuel Moussallam, Laurent Daudet, Gaël Richard:
Matching Pursuits with random sequential subdictionaries. Signal Process. 92(10): 2532-2544 (2012) - [c5]Sébastien Fenet, Manuel Moussallam, Yves Grenier, Gaël Richard, Laurent Daudet:
A framework for fingerprint-based detection of repeating objects in multimedia streams. EUSIPCO 2012: 1464-1468 - [c4]Manuel Moussallam, Gaël Richard, Laurent Daudet:
Audio source separation informed by redundancy with greedy multiscale decompositions. EUSIPCO 2012: 2644-2648 - [c3]Manuel Moussallam, Laurent Daudet, Gaël Richard:
Random time-frequency subdictionary design for sparse representations with greedy algorithms. ICASSP 2012: 3577-3580 - 2011
- [c2]Manuel Moussallam, Laurent Daudet, Gaël Richard:
Audio Signal Representations for Factorization in the Sparse Domain. ICASSP 2011: 513-516 - [i1]Manuel Moussallam, Laurent Daudet, Gaël Richard:
Matching Pursuits with Random Sequential Subdictionaries. CoRR abs/1107.2509 (2011) - 2010
- [c1]Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz Sbai:
Sound enhancement using sparse approximation with speclets. ICASSP 2010: 221-224
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 12:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
