12 citations · 46 across the 16 of their papers we have counts for
17 papers
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Most real-world networks evolve over time. Existing literature proposes models for dynamic networks that are either unlabeled or assumed to have a single membership structure. On t…
Multivariate Powered Dirichlet Hawkes Process
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The publication time of a document carries a relevant information about its semantic content. The Dirichlet-Hawkes process has been proposed to jointly model textual information an…
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Information spread on networks can be efficiently modeled by considering three features: documents' content, time of publication relative to other publications, and position of the…
Interactions in Information Spread
Gaël Poux-Médard
Since the development of writing 5000 years ago, human-generated data gets produced at an ever-increasing pace. Classical archival methods aimed at easing information retrieval. No…
Properties of Reddit News Topical Interactions
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Most models of information diffusion online rely on the assumption that pieces of information spread independently from each other. However, several works pointed out the necessity…
Serialized Interacting Mixed Membership Stochastic Block Model
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Last years have seen a regain of interest for the use of stochastic block modeling (SBM) in recommender systems. These models are seen as a flexible alternative to tensor decomposi…
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…
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…
ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics
Pengfei Liu, Sabine Loudcher, Jérôme Darmont +1
With new emerging technologies, such as satellites and drones, archaeologists collect data over large areas. However, it becomes difficult to process such data in time. Archaeologi…
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…
Information Interaction Profile of Choice Adoption
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Interactions between pieces of information (entities) play a substantial role in the way an individual acts on them: adoption of a product, the spread of news, strategy choice, etc…
Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling
Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5
The rise of big data has revolutionized data exploitation practices and led to the emergence of new concepts. Among them, data lakes have emerged as large heterogeneous data reposi…
Data Lakes for Digital Humanities
Jérôme Darmont, Cécile Favre, Sabine Loudcher +1
Traditional data in Digital Humanities projects bear various formats (structured, semi-structured, textual) and need substantial transformations (encoding and tagging, stemming, le…
Interactions in information spread: quantification and interpretation using stochastic block models
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
In most real-world applications, it is seldom the case that a given observable evolves independently of its environment. In social networks, users' behavior results from the people…
Innovative Approaches for efficiently Warehousing Complex Data from the Web
Fadila Bentayeb, Nora Maïz, Hadj Mahboubi +5
Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of In…
X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data
Hadj Mahboubi, Jean-Christian Ralaivao, Sabine Loudcher +3
Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically repres…
Warehousing complex data from the Web
Omar Boussaid, Jerome Darmont, Fadila Bentayeb +1
The data warehousing and OLAP technologies are now moving onto handling complex data that mostly originate from the Web. However, intagrating such data into a decision-support proc…