Romain Hennequin

Bruno Sguerra

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect.

[BibT_eX]

[DOI]

Bruno Sguerra

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

On the Consistency of Average Embeddings for Item Recommendation.

[BibT_eX]

[DOI]

Walid Bendada

Thomas Bouabça

Tristan Cazenave

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Of Spiky SVDs and Music Recommendation.

[BibT_eX]

[DOI]

Vincent Guigue

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Understanding individual and collective diversity of cultural consumption through large-scale music listening events.

[BibT_eX]

[DOI]

Harin Lee

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

Modularity-aware graph autoencoders for joint community detection and link prediction.

[BibT_eX]

[DOI]

Johannes F. Lutzeyer

George Dasoulas

Neural Networks, 2022

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction.

[BibT_eX]

[DOI]

Johannes F. Lutzeyer

George Dasoulas

CoRR, 2022

Explainability in Music Recommender Systems.

[BibT_eX]

[DOI]

Alessandro B. Melchiorre

AI Mag., 2022

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain.

[BibT_eX]

[DOI]

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization.

[BibT_eX]

[DOI]

Bruno Sguerra

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Network Analyses for Cross-Cultural Music Popularity.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Learning Unsupervised Hierarchies of Audio Concepts.

[BibT_eX]

[DOI]

Vincent Guigue

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge.

[BibT_eX]

[DOI]

Giovanni Gabbolini

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding.

[BibT_eX]

[DOI]

Neural Networks, 2021

A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition.

[BibT_eX]

[DOI]

CoRR, 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 ).

[BibT_eX]

[DOI]

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Hierarchical Latent Relation Modeling for Collaborative Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders.

[BibT_eX]

[DOI]

Benjamin Chapus

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The Words Remain the Same: Cover Detection with Lyrics Transcription.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Towards Rigorous Interpretations: a Formalisation of Feature Attribution.

[BibT_eX]

[DOI]

Vincent Guigue

Proceedings of the 38th International Conference on Machine Learning, 2021

Singing Language Identification Using a Deep Phonotactic Approach.

[BibT_eX]

[DOI]

Lenny Renault

Andrea Vaglio

Proceedings of the IEEE International Conference on Acoustics, 2021

The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 18th International Conference, 2021

2020

The WASABI Dataset and RDF Knowledge Graph.

[BibT_eX]

[DOI]

Dataset, December, 2020

The WASABI RDF Knowledge Graph.

[BibT_eX]

[DOI]

Dataset, December, 2020

Spleeter: a fast and efficient music source separation tool with pre-trained models.

[BibT_eX]

[DOI]

J. Open Source Softw., 2020

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding.

[BibT_eX]

[DOI]

CoRR, 2020

Muzeeglot : annotation multilingue et multi-sources d'entités musicales à partir de représentations de genres musicaux (Muzeeglot : cross-lingual multi-source music item annotation from music genre embeddings).

[BibT_eX]

[DOI]

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Simple and Effective Graph Autoencoders with One-Hop Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Multilingual lyrics-to-audio alignment.

[BibT_eX]

[DOI]

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation.

[BibT_eX]

[DOI]

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Audio-Based Detection of Explicit Content in Music.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Modeling the Music Genre Perception across Language-Bound Cultures.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Improving Collaborative Metric Learning with Efficient Negative Sampling.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Leveraging knowledge bases and parallel annotations for music genre translation.

[BibT_eX]

[DOI]

Anis Khlif

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

A Degeneracy Framework for Scalable Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Singing Voice Separation: A Study on Training Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Gravity-Inspired Graph Autoencoders for Directed Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features.

[BibT_eX]

[DOI]

Albin Andrew Correya

Mickaël Arcos

CoRR, 2018

Disambiguating Music Artists at Scale with Audio Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Audio Based Disambiguation of Music Genre Tags.

[BibT_eX]

[DOI]

Jimena Royo-Letelier

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Music Mood Detection Based on Audio and Lyrics with Deep Neural Net.

[BibT_eX]

[DOI]

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Codec independent lossy audio compression detection.

[BibT_eX]

[DOI]

Jimena Royo-Letelier

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Long-Term Reverberation Modeling for Under-Determined Audio Source Separation with Application to Vocal Melody Extraction.

[BibT_eX]

[DOI]

François Rigaud

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015

Singing voice detection with deep recurrent neural networks.

[BibT_eX]

[DOI]

Simon Leglaive

Roland Badeau

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Speech-guided source separation using a pitch-adaptive guide signal model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Introducing a simple fusion framework for audio source separation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2011

Décomposition de spectrogrammes musicaux informée par des modèles de synthèse spectrale. Modélisation des variations temporelles dans les éléments sonores. (Decomposition of musical spectrograms informed by spectral synthesis models. Modeling of time variations in sound elements).

[BibT_eX]

[DOI]

PhD thesis, 2011

NMF With Time-Frequency Activations to Model Nonstationary Audio Events.

[BibT_eX]

[DOI]