| Spleeter: a fast and efficient music source separation tool with pre-trained models R Hennequin, A Khlif, F Voituret, M Moussallam Journal of Open Source Software 5 (50), 2154, 2020 | 429 | 2020 |
| Music mood detection based on audio and lyrics with deep neural net R Delbouys, R Hennequin, F Piccoli, J Royo-Letelier, M Moussallam arXiv preprint arXiv:1809.07276, 2018 | 124 | 2018 |
| Explainability in music recommender systems D Afchar, A Melchiorre, M Schedl, R Hennequin, E Epure, M Moussallam AI Magazine 43 (2), 190-208, 2022 | 73 | 2022 |
| Sustaining persistent lava lakes: Observations from high-resolution gas measurements at Villarrica volcano, Chile Y Moussallam, P Bani, A Curtis, T Barnie, M Moussallam, N Peters, ... Earth and Planetary Science Letters 454, 237-247, 2016 | 55 | 2016 |
| Hydrogen emissions from Erebus volcano, Antarctica Y Moussallam, C Oppenheimer, A Aiuppa, G Giudice, M Moussallam, ... Bulletin of Volcanology 74, 2109-2120, 2012 | 47 | 2012 |
| Volcanic gas emissions and degassing dynamics at Ubinas and Sabancaya volcanoes; implications for the volatile budget of the central volcanic zone Y Moussallam, G Tamburello, N Peters, F Apaza, CI Schipper, A Curtis, ... Journal of Volcanology and Geothermal Research 343, 181-191, 2017 | 43 | 2017 |
| Multilingual lyrics-to-audio alignment A Vaglio, R Hennequin, M Moussallam, G Richard, F d'Alché-Buc International Society for Music Information Retrieval Conference (ISMIR), 2020 | 32 | 2020 |
| Improving collaborative metric learning with efficient negative sampling VA Tran, R Hennequin, J Royo-Letelier, M Moussallam Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 29 | 2019 |
| Fastgae: Scalable graph autoencoders with stochastic subgraph decoding G Salha, R Hennequin, JB Remy, M Moussallam, M Vazirgiannis Neural Networks 142, 1-19, 2021 | 25 | 2021 |
| WASABI: a two million song database project with audio and cultural metadata plus WebAudio enhanced client applications G Meseguer-Brocal, G Peeters, G Pellerin, M Buffa, E Cabrio, ... | 24 | 2017 |
| Follow the guides: disentangling human and algorithmic curation in online music consumption Q Villermet, J Poiroux, M Moussallam, T Louail, C Roth Proceedings of the 15th ACM Conference on Recommender Systems, 380-389, 2021 | 23 | 2021 |
| Codec independent lossy audio compression detection R Hennequin, J Royo-Letelier, M Moussallam 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 20 | 2017 |
| Audio based disambiguation of music genre tags R Hennequin, J Royo-Letelier, M Moussallam arXiv preprint arXiv:1809.07256, 2018 | 18 | 2018 |
| Audio-based detection of explicit content in music A Vaglio, R Hennequin, M Moussallam, G Richard, F d’Alché-Buc ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
| Matching pursuits with random sequential subdictionaries M Moussallam, L Daudet, G Richard Signal Processing 92 (10), 2532-2544, 2012 | 17 | 2012 |
| Disambiguating music artists at scale with audio metric learning J Royo-Letelier, R Hennequin, VA Tran, M Moussallam arXiv preprint arXiv:1810.01807, 2018 | 11 | 2018 |
| Sound enhancement using sparse approximation with speclets M Moussallam, P Leveau, SMA Sbaï 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 11 | 2010 |
| Spleeter: A fast and stateof-the art music source separation tool with pre-trained models R Hennequin, A Khlif, F Voituret, M Moussallam Late-Breaking/Demo ISMIR, 2019 | 10 | 2019 |
| Hierarchical latent relation modeling for collaborative metric learning VA Tran, G Salha-Galvan, R Hennequin, M Moussallam Proceedings of the 15th ACM Conference on Recommender Systems, 302-309, 2021 | 9 | 2021 |
| FastGAE: Fast, scalable and effective graph autoencoders with stochastic subgraph decoding G Salha, R Hennequin, JB Remy, M Moussallam, M Vazirgiannis arXiv preprint arXiv:2002.01910, 2020 | 8 | 2020 |
Romain HennequinDeezer ResearchVerified email at deezer.com
