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04/12/2023
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks
Most real-world networks evolve over time. Existing literature proposes ...
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12/12/2022
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks
Information spread on networks can be efficiently modeled by considering...
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12/12/2022
Multivariate Powered Dirichlet Hawkes Process
The publication time of a document carries a relevant information about ...
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09/20/2022
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
Explainable AI (XAI) is an important developing area but remains relativ...
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09/16/2022
Properties of Reddit News Topical Interactions
Most models of information diffusion online rely on the assumption that ...
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09/16/2022
Serialized Interacting Mixed Membership Stochastic Block Model
Last years have seen a regain of interest for the use of stochastic bloc...
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01/29/2022
Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes
The textual content of a document and its publication date are intertwin...
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11/05/2021
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
Slow emerging topic detection is a task between event detection, where w...
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09/15/2021
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior
The textual content of a document and its publication date are intertwin...
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04/28/2021
Information Interaction Profile of Choice Adoption
Interactions between pieces of information (entities) play a substantial...
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04/26/2021
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering
One of the most used priors in Bayesian clustering is the Dirichlet prio...
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04/09/2020
Interactions in information spread: quantification and interpretation using stochastic block models
In most real-world applications, it is seldom the case that a given obse...
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04/07/2020
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
The scientific literature is growing faster than ever. Finding an expert...
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01/16/2020
Document Network Projection in Pretrained Word Embedding Space
We present Regularized Linear Embedding (RLE), a novel method that proje...
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01/10/2020
Inductive Document Network Embedding with Topic-Word Attention
Document network embedding aims at learning representations for a struct...
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09/11/2019
How to detect novelty in textual data streams? A comparative study of existing methods
Since datasets with annotation for novelty at the document and/or word l...
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02/28/2019
Link Prediction with Mutual Attention for Text-Attributed Networks
In this extended abstract, we present an algorithm that learns a similar...
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02/28/2019
Global Vectors for Node Representations
Most network embedding algorithms consist in measuring co-occurrences of...
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12/18/2018
Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models
We present a dual-view mixture model to cluster users based on their fea...
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06/28/2018
Peerus Review: a tool for scientific experts finding
We propose a tool for experts finding applied to academic data generated...
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06/28/2018
Impact of the Query Set on the Evaluation of Expert Finding Systems
Expertise is a loosely defined concept that is hard to formalize. Much r...
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06/14/2018
Automatic Language Identification for Romance Languages using Stop Words and Diacritics
Automatic language identification is a natural language processing probl...
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01/11/2016
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering
Evolutionary clustering aims at capturing the temporal evolution of clus...
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12/17/2015
Unsupervised Feature Construction for Improving Data Representation and Semantics
Feature-based format is the main data representation format used by mach...
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12/14/2015
Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context
One of the prevalent learning tasks involving images is content-based im...
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09/24/2015
Opinion mining from twitter data using evolutionary multinomial mixture models
Image of an entity can be defined as a structured and dynamic representa...
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05/09/2015
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
In this paper, we study different discrete data clustering methods, whic...
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04/28/2015