Raphaël Fournier-S'niehotta
Présentation
Je suis Maître de Conférences au Conservatoire national des Arts et Métiers de Paris (CNAM) depuis 2014. Mes thématiques de recherches s'articulent autour des graphes (systèmes complexes) et des systèmes de recommandation. Je m'intéresse en particulier à l'apport que les premiers peuvent avoir sur les seconds en termes de diversité (projet ANR Algodiv) et des questions afférentes (explicabilité des prédictions). Je participe aussi activement à des recherches sur la musique notée (différences entre partitions XML, inférence de métriques, etc.). En enseignement, je suis spécialiste des bases de données (relationnelles et NoSQL), et dispense des cours de Recherche d'information (Information Retrieval) et de fouille de données (graphes, en particulier), dans des contextes large échelle (Spark).
Publications
Publications
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FACETS: A Tool for Improved Exploration of Large Symbolic Music CollectionsDLfM 2024: 11th International Conference on Digital Libraries for Musicology, Association for Computing Machinery, Jun 2024, Stellenbosch, South Africa. pp.63-67, ⟨10.1145/3660570.3660578⟩ |
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Supra-Laplacian Encoding for Transformer on Dynamic GraphsThe Thirty-eighth Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver (CA), Canada |
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Documenting the research process. Opportunities and challenges for Bibliometrics and Information RetrievalBibliometric-enhanced Information Retrieval, Apr 2023, Dublin (Ireland), Ireland. pp.4-20, ⟨10.5281/zenodo.10529114⟩ |
MAP Inference Reasoning on TMLN with Neo4jBDA'24, Oct 2024, Orléans, France |
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Temporal receptive field in dynamic graph learning: A comprehensive analysisMLG Workshop at ECML-PKDD, Sep 2024, Vilnius (Lituanie), France |
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NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic NetworksCIKM 2023 - International Conference on Information and Knowledge Management, Oct 2023, Birmingham (UK), United Kingdom. pp.400-409, ⟨10.1145/3583780.3614757⟩ |
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Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM treeGEM: Graph Embedding and Mining - ECML/PKDD Workshops, Sep 2021, Bilbao, Spain. pp.258-267, ⟨10.1007/978-3-030-93736-2_20⟩ |
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PKSpell: Data-Driven Pitch Spelling and Key Signature EstimationInternational Society for Music Information Retrieval Conference (ISMIR), Nov 2021, Online, India |
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Testing the Impact of Semantics and Structure on Recommendation Accuracy and DiversityASONAM 2020. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020, La Hague (virtual), Netherlands |
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A diff procedure for music score files6th International Conference on Digital Libraries for Musicology (DLfM), Nov 2019, The Hague, Netherlands. pp.7 |
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Encoding temporal and structural information in machine learning models for recommendationLEG @ ECML-PKDD 2019, Sep 2019, Würzburg, Germany |
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Évaluation de la correction rythmique des partitions numériséesJIM 2018 - Journées d'Informatique Musicale, May 2018, Amiens, France. pp.87-95 |
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Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link StreamsInternational Conference on Complex Networks (COMPLENET 2018), Mar 2018, Boston, United States. pp.233-241, ⟨10.1007/978-3-319-73198-8_20⟩ |
Querying XML score databases: XQuery is not enough(ISMIR'16) International Society for Music Information Retrieval Conference, 2016, New-York, USA, Unknown Region. pp.723--729, ⟨10.5281/zenodo.1416976⟩ |
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Querying Music Notation(TIME'16) International Symposium on Temporal Representation and Reasoning, 2016, Kongens Lyngby, Denmark. pp.1--9, ⟨10.1109/TIME.2016.13⟩ |
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Analysis of the Temporal and Structural Features of Threads in a Mailing-List7th Workshop on Complex Networks (CompleNet 2016), Mar 2016, Dijon, France. pp.107-118, ⟨10.1007/978-3-319-30569-1_8⟩ |
A Digital Score Library Based on MEI(MEC'16) Music Encoding Conference, 2016, Montréal, Canada. pp.1-4 |
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Is There a Data Model in Music Notation?(TENOR'16) International Conference on Technologies for Music Notation and Representation, 2016, Cambridge, UK, Unknown Region. pp.1-6 |
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Vers un Traitement Algébrique de la Notation Musicale(JIM'16) Journées d'Informatique Musicale, 2016, Albi, France. pp.61-70 |
AMMICO : recommandation sociale pour la visite de muséeApprentissage Artificiel et Fouille de Données, AAFD 2014, Université Paris 13, Institut Galilée, Villetaneuse, France, 29-30 avril 2014, 2014, Unknown, Unknown Region |
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Mining bipartite graphs to improve semantic pedophile activity detection8th IEEE International Conference on Research Challenges in Information Science (RCIS 2014), May 2014, Marrakech, Morocco. ⟨10.1109/RCIS.2014.6861035⟩ |
Quantifying Paedophile Queries in a Large P2P SystemIEEE International Conference on Computer Communications INFOCOM (Mini-Conference), Apr 2011, Shanghai, China. pp.401-405, ⟨10.1109/INFCOM.2011.5935191⟩ |
NeoMaPy: calcul de MAP inference sur des graphs de connaissance temporelsBDA'23, Oct 2023, Montpellier, France. |
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Evaluating musical score difference: a two-level comparisonDigital Music Research Network One-Day Workshop 2018 (DMRN+13), Dec 2018, London, United Kingdom. 2018 |
InformatiqueDunod, 2017, Fluoresciences, 3257227892 |
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D1.8: Final ten-pilots validation report and lessons learned (V1.0)Open University; King's College London; IReMus; CNAM; NUIG; KNAW; MiC; Università di Bologna. 2024 |
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Détection et analyse d'une thématique rare dans de grands ensembles de requêtes : l'activité pédophile dans le P2PRéseaux sociaux et d'information [cs.SI]. UPMC - Paris 6 Sorbonne Universités, 2012. Français. ⟨NNT : ⟩ |