Autres listes de mes publications


  1. Journal Zhu, T., Fournier, R., Rigaux, P., & Travers, N. (2022). A Framework for Content-Based Search in Large Music Collections. Big Data and Cognitive Computing, 6(1). DOI: 10.3390/bdcc6010023.


  1. Conference Dang, C., Randrianarivo, H., Fournier, R., & Audebert, N. (2021). Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. In GEM @ ECML-PKDD 21. Status: accepted.
  2. Journal Ramaciotti Morales, P., Lamarche-Perrin, R., Fournier, R., Poulain, R., Tabourier, L., & Tarissan, F. (2021). Measuring diversity in heterogeneous information networks. Theoretical Computer Science, 859, 80–115. DOI:


  1. Conference Ramaciotti-Morales, P., Tabourier, L., & Fournier, R. (2020). Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity. In IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2020). Status: accepted.


  1. Journal Viard, T., & Fournier, R. (2019). Augmenting content-based rating prediction with link stream features. Computer Networks, 150, 127–133. DOI:
  2. Conference Viard, T., & Fournier, R. (2019). Encoding temporal and structural information in machine learning models for recommandation. In LEG @ ECML-PKDD 19. Status: accepted.
  3. Conference Foscarin, F., Fournier, R., & Jacquemard, F. (2019). A diff procedure for XML music score files. In 6th International Conference on Digital Libraries for Musicology (DLfM 2019). Status: accepted.
  4. Conference Foscarin, F., Fournier, R., & Jacquemard, F. (2019). Computation and visualization of differences between two XML music score files. In 20th International Society for Music Information Retrieval Conference, ISMIR 2019 (Late-breaking Demo). Status: accepted.


  1. Conference Viard, T., Fournier, R., Magnien, C., & Latapy, M. (2018). Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams. In (CompleNet’18) International Workshop on Complex Networks. DOI:


  1. Book Delacroix, J., Barthélémy, F., Fournier, R., Gil-Michalon, I., Lambert, A., Plateau, A., … Waymel, E. (2017). Informatique (1e ed.). Paris : Dunod. Retrieved from
  2. Journal Fournier, R., Rigaux, P., & Travers, N. (2017). Modeling Music as Synchronized Time Series: Application to Music Score Collections. (IS’18) Information Systems, 1–36. DOI: 10.1016/


  1. Conference Gaumont, N., Viard, T., Fournier, R., Wang, Q., & Latapy, M. (2016). Analysis of the temporal and structural features of threads in a mailing-list. In Complex Networks VII - Proceedings of the 7th Workshop on Complex Networks CompleNet 2016, Dijon, France, March 23-25, 2016. DOI:
  2. Conference Fournier, R., Rigaux, P., & Travers, N. (2016). Is There a Data Model in Music Notation? In R. Hoadley, C. Nash, & D. Fober (Eds.), Proceedings of the International Conference on Technologies for Music Notation and Representation – TENOR’16 (pp. 85–91). Anglia Ruskin University : Cambridge, UK. Retrieved from
  3. Conference Fournier, R., Rigaux, P., & Travers, N. (2016). Vers un Traitement Algébrique de la Notation Musicale. In (JIM’16) Journées d’Informatique Musicale (Vol. 23, pp. 1–9). Albi, France. Retrieved from
  4. Conference Fournier, R., Rigaux, P., & Travers, N. (2016). A Digital Score Library Based on MEI. In (MEC’16) Music Encoding Conference (pp. 1–4). Montréal, Canada.
  5. Conference Fournier, R., Rigaux, P., & Travers, N. (2016). Querying Music Notation. In C. E. Dyreson, M. R. Hansen, & L. Hunsberger (Eds.), 23rd International Symposium on Temporal Representation and Reasoning, TIME 2016, Kongens Lyngby, Denmark, October 17-19, 2016 (pp. 51–59). IEEE. DOI: 10.1109/TIME.2016.13.
  6. Conference Fournier, R., Rigaux, P., & Travers, N. (2016). Querying XML Score Databases: XQuery is not Enough! In M. I. Mandel, J. Devaney, D. Turnbull, & G. Tzanetakis (Eds.), Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016 (pp. 723–729). Retrieved from


  1. Journal Fournier, R., & Latapy, M. (2015). Temporal Patterns of Pedophile Activity in a P2P Network: First Insights about User Profiles from Big Data. International Journal of Internet Science, 10(1), 8–19. Retrieved from


  1. Journal Fournier, R., Cholez, T., Latapy, M., Chrisment, I., Magnien, C., Daniloff, I., & Festor, O. (2014). Comparing paedophile activity in different P2P systems. Social Sciences, 3(3). DOI: 10.3390/socsci3030314.
  2. Conference Fournier, R., & Viennet, E. (2014). AMMICO : recommandation sociale pour la visite de musée. In Apprentissage Artificiel et Fouille de Données, AAFD 2014, Université Paris 13, Institut Galilée, Villetaneuse, France, 29-30 avril 2014.
  3. Conference Fournier, R., & Danisch, M. (2014). Mining bipartite graphs to improve semantic paedophile activity detection. In IEEE 8th International Conference on Research Challenges in Information Science, RCIS 2014, Marrakech, Morocco, May 28-30, 2014 (pp. 1–4). DOI: 10.1109/RCIS.2014.6861035.
  4. Journal Bernardes, D., Diaby, M., Fournier, R., Fogelman-Soulié, F., & Viennet, E. (2014). A Social Formalism and Survey for Recommender Systems. SIGKDD Explorations, 16(2), 20–37. DOI: 10.1145/2783702.2783705.


  1. Journal Latapy, M., Magnien, C., & Fournier, R. (2013). Quantifying paedophile activity in a large P2P system. Information Processing and Management, 49(1), 248–263. DOI: 10.1016/j.ipm.2012.02.008.


  1. Ph. D. dissertation Fournier, R. (2012). Détection et analyse d’une thématique rare dans de grands ensembles de requêtes : l’activité pédophile dans le P2P (PhD thesis). UPMC.


  1. Conference Latapy, M., Magnien, C., & Fournier, R. (2011). Quantifying paedophile queries in a large P2P system. In INFOCOM 2011. 30th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 10-15 April 2011, Shanghai, China (pp. 401–405). IEEE. DOI: 10.1109/INFCOM.2011.5935191.