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ORCIDRaphaël Fournier-S'niehotta
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2020 – today
- 2024
[j7]Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome:
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. Trans. Mach. Learn. Res. 2024 (2024)- [c13]Tiange Zhu
, Raphaël Fournier-S'niehotta, Philippe Rigaux:
FACETS: A Tool for Improved Exploration of Large Symbolic Music Collections. DLfM 2024: 63-67 - [i11]Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome:
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. CoRR abs/2407.07912 (2024) - 2023
- [c12]Enrico Daga, Marilena Daquino, Raphaël Fournier-S'niehotta, Christophe Guillotel-Nothmann, Andrea Scharnhorst:
Documenting the research process. Opportunities and challenges for Bibliometrics and IR. BIR@ECIR 2023: 4-20 - [c11]Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers:
NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks. CIKM 2023: 400-409 - [c10]Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers:
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs. IJCAI 2023: 7123-7126 - 2022
- [j6]Tiange Zhu, Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers:
A Framework for Content-Based Search in Large Music Collections. Big Data Cogn. Comput. 6(1): 23 (2022) - [i10]Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers:
Parameterisation of Reasoning on Temporal Markov Logic Networks. CoRR abs/2211.16414 (2022) - 2021
- [j5]Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphaël Fournier-S'niehotta, Rémy Poulain, Lionel Tabourier, Fabien Tarissan:
Measuring diversity in heterogeneous information networks. Theor. Comput. Sci. 859: 80-115 (2021) - [c9]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. ISMIR 2021: 197-204 - [c8]Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert:
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree. PKDD/ECML Workshops (1) 2021: 258-267 - [i9]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. CoRR abs/2107.14009 (2021) - [i8]Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert:
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. CoRR abs/2108.11629 (2021) - 2020
- [c7]Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta:
Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity. ASONAM 2020: 250-257 - [i7]Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphaël Fournier-S'niehotta, Remy Poulain, Lionel Tabourier, Fabien Tarissan:
Measuring Diversity in Heterogeneous Information Networks. CoRR abs/2001.01296 (2020) - [i6]Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta:
Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity. CoRR abs/2011.03796 (2020)
2010 – 2019
- 2019
- [j4]Tiphaine Viard, Raphaël Fournier-S'niehotta:
Augmenting content-based rating prediction with link stream features. Comput. Networks 150: 127-133 (2019) - [c6]Francesco Foscarin, Florent Jacquemard, Raphaël Fournier-S'niehotta:
A diff procedure for music score files. DLfM 2019: 58-64 - 2018
- [j3]Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers:
Modeling Music as Synchronized Time Series: Application to Music Score Collections. Inf. Syst. 73: 35-49 (2018) - [e1]Everardo Reyes, Samuel Szoniecky, Abderrazak Mkadmi, Gérald Kembellec, Raphaël Fournier-S'niehotta, Fatma Siala-Kallel, Mehdi Ammi, S. Labelle:
Proceedings of the 1st International Conference on Digital Tools & Uses Congress, DTUC 2018, Paris, France, October 03-05, 2018. ACM 2018, ISBN 978-1-4503-6451-5 [contents] - [i5]Tiphaine Viard, Raphaël Fournier-S'niehotta:
Movie rating prediction using content-based and link stream features. CoRR abs/1805.02893 (2018) - 2017
- [i4]Tiphaine Viard, Raphaël Fournier-S'niehotta, Clémence Magnien, Matthieu Latapy:
Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams. CoRR abs/1710.07107 (2017) - 2016
- [c5]Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta, Qinna Wang, Matthieu Latapy:
Analysis of the Temporal and Structural Features of Threads in a Mailing-List. CompleNet 2016: 107-118 - [c4]Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers:
Querying XML Score Databases: XQuery is not Enough!. ISMIR 2016: 723-729 - [c3]Raphaël Fournier-S'niehotta, Philippe Rigaux, Nicolas Travers:
Querying Music Notation. TIME 2016: 51-59 - 2015
- [i3]Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta, Qinna Wang, Matthieu Latapy:
Analysis of the temporal and structural features of threads in a mailing-list. CoRR abs/1512.05002 (2015) - 2014
- [j2]Daniel Faria Bernardes, Mamadou Diaby, Raphaël Fournier, Françoise Fogelman-Soulié, Emmanuel Viennet:
A Social Formalism and Survey for Recommender Systems. SIGKDD Explor. 16(2): 20-37 (2014) - [c2]Raphaël Fournier, Maximilien Danisch:
Mining bipartite graphs to improve semantic pedophile activity detection. RCIS 2014: 1-4 - 2013
- [j1]Matthieu Latapy, Clémence Magnien, Raphaël Fournier:
Quantifying paedophile activity in a large P2P system. Inf. Process. Manag. 49(1): 248-263 (2013) - 2012
- [b1]Raphaël Fournier-S'niehotta:
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). Pierre and Marie Curie University, Paris, France, 2012 - [i2]Matthieu Latapy, Clémence Magnien, Raphaël Fournier:
Quantifying Paedophile Activity in a Large P2P System. CoRR abs/1206.4166 (2012) - [i1]Raphaël Fournier, Thibault Cholez, Matthieu Latapy, Clémence Magnien, Isabelle Chrisment, Ivan Daniloff, Olivier Festor:
Comparing paedophile activity in different P2P systems. CoRR abs/1206.4167 (2012) - 2011
- [c1]Matthieu Latapy, Clémence Magnien, Raphaël Fournier:
Quantifying paedophile queries in a large P2P system. INFOCOM 2011: 401-405
Coauthor Index
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last updated on 2024-08-17 23:42 CEST by the dblp team
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