5 papers
Inverse Laplace Transform for Dynamic Light Scattering: Impact of Regularization
Pierre Pajuelo, Stéphane G. Roux, Adrien Meynard +3
Dynamic Light Scattering (DLS) analyzes particle dynamics from the autocorrelation functions of scattered light intensity, yet extracting accurate relaxation time distributions fro…
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
Etienne Lasalle, Rémi Vaudaine, Titouan Vayer +4
Clustering the nodes of a graph is a cornerstone of graph analysis and has been extensively studied. However, some popular methods are not suitable for very large graphs: e.g., spe…
Longitudinal Modularity, a Modularity for Link Streams
Victor Brabant, Yasaman Asgari, Pierre Borgnat +2
Temporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are model…
A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
Myriam Bontonou, Anaïs Haget, Maria Boulougouri +3
Many machine learning models have been proposed to classify phenotypes from gene expression data. In addition to their good performance, these models can potentially provide some u…
Mosaic benchmark networks: Modular link streams for testing dynamic community detection algorithms
Yasaman Asgari, Remy Cazabet, Pierre Borgnat
Community structure is a critical feature of real networks, providing insights into nodes' internal organization. Nowadays, with the availability of highly detailed temporal networ…