164 citations · 170 across the 8 of their papers we have counts for
9 papers
Anchor Prediction: A Topic Modeling Approach
Jean Dupuy, Adrien Guille, Julien Jacques
Networks of documents connected by hyperlinks, such as Wikipedia, are ubiquitous. Hyperlinks are inserted by the authors to enrich the text and facilitate the navigation through th…
Biclustering Algorithms Based on Metaheuristics: A Review
Adan Jose-Garcia, Julie Jacques, Vincent Sobanski +1
Biclustering is an unsupervised machine learning technique that simultaneously clusters rows and columns in a data matrix. Biclustering has emerged as an important approach and pla…
Outlier detection in multivariate functional data through a contaminated mixture model
Martial Amovin-Assagba, Irène Gannaz, Julien Jacques
In an industrial context, the activity of sensors is recorded at a high frequency. A challenge is to automatically detect abnormal measurement behavior. Considering the sensor meas…
Simultaneous predictive bands for functional time series using minimum entropy sets
Nicolás Hernández, Jairo Cugliari, Julien Jacques
Functional Time Series are sequences of dependent random elements taking values on some functional space. Most of the research on this domain is focused on producing a predictor ab…
Document Network Projection in Pretrained Word Embedding Space
Antoine Gourru, Adrien Guille, Julien Velcin +1
We present Regularized Linear Embedding (RLE), a novel method that projects a collection of linked documents (e.g. citation network) into a pretrained word embedding space. In addi…
Document Network Embedding: Coping for Missing Content and Missing Links
Jean Dupuy, Adrien Guille, Julien Jacques
Searching through networks of documents is an important task. A promising path to improve the performance of information retrieval systems in this context is to leverage dense node…