Gaël Poux-Médard
Orcid: 0000-0002-0103-8778
According to our database1,
Gaël Poux-Médard
authored at least 18 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Powered Dirichlet Process - Controlling the "Rich-Get-Richer" Assumption in Bayesian Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks.
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Advances in Information Retrieval, 2023
2022
Interactions in information spread. (Interactions entre informations dans les processus de diffusion).
PhD thesis, 2022
Powered Dirichlet-Hawkes process: challenging textual clustering using a flexible temporal prior.
Knowl. Inf. Syst., 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes.
Proceedings of the Extraction et Gestion des Connaissances, 2022
Proceedings of the Complex Networks and Their Applications XI, 2022
2021
Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies.
EPJ Data Sci., 2021
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering.
CoRR, 2021
Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Interactions in information spread: quantification and interpretation using stochastic block models.
CoRR, 2020
2019