47 citations · 68 across the 15 of their papers we have counts for
16 papers
Interactions in Information Spread
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assume…
Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The textual content of a document and its publication date are intertwined. For example, the publication of a news article on a topic is influenced by previous publications on simi…
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
Clément Christophe, Julien Velcin, Jairo Cugliari +2
Slow emerging topic detection is a task between event detection, where we aggregate behaviors of different words on short period of time, and language evolution, where we monitor t…
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The textual content of a document and its publication date are intertwined. For example, the publication of a news article on a topic is influenced by previous publications on simi…
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
One of the most used priors in Bayesian clustering is the Dirichlet prior. It can be expressed as a Chinese Restaurant Process. This process allows nonparametric estimation of the…
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
Robin Brochier, Antoine Gourru, Adrien Guille +1
The scientific literature is growing faster than ever. Finding an expert in a particular scientific domain has never been as hard as today because of the increasing amount of publi…