Raphaël Fournier-S'niehotta

According to our database, Raphaël Fournier-S'niehotta authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs.

Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks.

Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Documenting the research process. Opportunities and challenges for Bibliometrics and IR.

Enrico Daga, Marilena Daquino, Raphaël Fournier-S'niehotta, Christophe Guillotel-Nothmann, Andrea Scharnhorst

Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023), 2023

2022

Parameterisation of Reasoning on Temporal Markov Logic Networks.

Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers

CoRR, 2022

A Framework for Content-Based Search in Large Music Collections.

Tiange Zhu, Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers

Big Data Cogn. Comput., 2022

2021

Measuring diversity in heterogeneous information networks.

Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphaël Fournier-S'niehotta, Rémy Poulain, Lionel Tabourier, Fabien Tarissan

Theor. Comput. Sci., 2021

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree.

Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation.

Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta

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

2020

Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity.

Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Augmenting content-based rating prediction with link stream features.

Tiphaine Viard, Raphaël Fournier-S'niehotta

Comput. Networks, 2019

A diff procedure for music score files.

Francesco Foscarin, Florent Jacquemard, Raphaël Fournier-S'niehotta

Proceedings of the 6th International Conference on Digital Libraries for Musicology, 2019

2018

Modeling Music as Synchronized Time Series: Application to Music Score Collections.

Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers

Inf. Syst., 2018

Movie rating prediction using content-based and link stream features.

Tiphaine Viard, Raphaël Fournier-S'niehotta

CoRR, 2018

2017

Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams.

Tiphaine Viard, Raphaël Fournier-S'niehotta, Clémence Magnien, Matthieu Latapy

CoRR, 2017

2016

Querying Music Notation.

Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers

Proceedings of the 23rd International Symposium on Temporal Representation and Reasoning, 2016

Querying XML Score Databases: XQuery is not Enough!.

Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers

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

Analysis of the Temporal and Structural Features of Threads in a Mailing-List.

Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta, Qinna Wang, Matthieu Latapy

Proceedings of the Complex Networks VII, 2016

2014

A Social Formalism and Survey for Recommender Systems.

Daniel Faria Bernardes, Mamadou Diaby, Raphaël Fournier, Françoise Fogelman-Soulié, Emmanuel Viennet

SIGKDD Explor., 2014

Mining bipartite graphs to improve semantic pedophile activity detection.

Raphaël Fournier, Maximilien Danisch

Proceedings of the IEEE 8th International Conference on Research Challenges in Information Science, 2014

2013

Quantifying paedophile activity in a large P2P system.

Matthieu Latapy, Clémence Magnien, Raphaël Fournier

Inf. Process. Manag., 2013

2012

Détection et analyse d'une thématique rare dans de grands ensembles de requêtes: l'activité pédophile dans le P2P. (Detection and analysis of a rare topic in large sets of search engine queries: paedophile activity in P2P networks).

Raphaël Fournier-S'niehotta

PhD thesis, 2012

Comparing paedophile activity in different P2P systems

Raphaël Fournier, Thibault Cholez, Matthieu Latapy, Clémence Magnien, Isabelle Chrisment, Ivan Daniloff, Olivier Festor

CoRR, 2012

2011

Quantifying paedophile queries in a large P2P system.

Matthieu Latapy, Clémence Magnien, Raphaël Fournier

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011