140 citations · 363 across the 28 of their papers we have counts for
31 papers
Structuring occupational accident narratives for cross-sector safety analysis: Transferability of accident-process role classification
Aho Yapi, Pierre Latouche, Arnaud Guillin +1
Introduction: Occupational accident narratives describe work situations, unfavourable conditions, accident events, and consequences, but differences in terminology and reporting pr…
A new machine learning framework for occupational accidents forecasting with safety inspections integration
Aho Yapi, Pierre Latouche, Arnaud Guillin +1
We propose a model-agnostic framework for short-term occupational accident forecasting that leverages safety inspections and models accident occurrences as binary time series. The…
The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
Rémi Boutin, Pierre Latouche, Charles Bouveyron
The increased quantity of data has led to a soaring use of networks to model relationships between different objects, represented as nodes. Since the number of nodes can be particu…
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
Rémi Boutin, Pierre Latouche, Charles Bouveyron
Numerical interactions leading to users sharing textual content published by others are naturally represented by a network where the individuals are associated with the nodes and t…
Embedded Topics in the Stochastic Block Model
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extr…
Motif-based tests for bipartite networks
Sarah Ouadah, Pierre Latouche, Stéphane Robin
Bipartite networks are a natural representation of the interactions between entities from two different types. The organization (or topology) of such networks gives insight to unde…