Publications

Engineering Sciences

A Refined Theory for Bending Vibratory Analysis of Thick Functionally Graded Beams

A refined beam theory that takes the thickness-stretching into account is presented in this study for the bending vibratory behavior analysis of thick functionally graded (FG) beams. In this theory, the number of unknowns is reduced to four instead…

Youssef Boutahar, Nadhir Lebaal, David Bassir

Mathematics - 2021

Biomechanics

Geometrical analysis of motion schemes on fencing experts from competition videos

Geometrical fencing is a scientific approach to fencing pioneered by Camillo Agrippa in the XVIth century which consists of characterizing the geometrical structure of fencing movements. Many geometrical spaces are involved in a duel, which evolve…

Christophe Magnani, Elise Defrasne Ait-Said

PLoS ONE - 2021

Neural and Evolutionary Computing

Fast, nonlocal and neural: a lightweight high quality solution to image denoising

With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. However, CNNs face two problems. First, they are computationally demanding, which makes their deployment…

Yu Guo, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Qiyu Jin

IEEE Signal Processing Letters - 2021

Computer Science

Regularized bi-directional co-clustering

The simultaneous clustering of documents and words, known as co-clustering, has proved to be more effective than one-sided clustering in dealing with sparse high-dimensional datasets. By their nature, text data are also generally unbalanced and…

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Statistics and Computing - 2021

Computer Science

Regularized Dual-PPMI Co-clustering for Text Data

Co-clustering of document-term matrices has proved to be more effective than one-sided clustering. By their nature, text data are also generally unbalanced and directional. Recently, the von Mises-Fisher (vMF) mixture model was proposed to handle…

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval - 2021

Machine Learning

Transfer Learning methods for temporal data

In this work, we propose novel transfer learning methods for time series analysis. Motivated by applications in household electricity consumption disaggregation (NILM) and industrial monitoring, we investigate traditional tools and show the need for…

Guillaume Richard

Modeling and Simulation

Extension of generic two-fluid VOF advection schemes to an arbitrary number of components

We propose a new and simple method to extend any two-fluid dimensionally split VOF schemes on Cartesian meshes to N-fluid problems in 2D and 3D. The method is symmetric by permutation of the fluids, so that it is independent of the ordering of…

Matthieu Ancellin, Bruno Després, Stéphane Jaouen

Life Sciences

Cholinesterases in Tripartite Neuromuscular Synapse

The neuromuscular junction (NMJ) is a tripartite synapse in which not only presynaptic and post-synaptic cells participate in synaptic transmission, but also terminal Schwann cells (TSC). Acetylcholine (ACh) is the neurotransmitter that mediates the…

Konstantin Petrov, Svetlana Proskurina, Eric Krejci

Frontiers in Molecular Neuroscience - 2021

General Topology

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning". The competition asked participants to provide creative…

Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Černý, Martin Bauw, Santiago Velasco-Forero, Jesus Angulo, Yanan Long

Quantitative Methods

Identification of the Primary Factors Determining the Specificity of the human VKORC1 Recognition by Thioredoxin-fold Proteins

Redox (reduction-oxidation) reactions control many important biological processes in all organisms, both prokaryotes and eukaryotes. This reaction is usually accomplished by canonical disulfide-based pathways involving a donor enzyme that reduces…

Maxim Stolyarchuk, Julie Ledoux, Elodie Maignant, Alain Trouvé, Luba Tchertanov

International Journal of Molecular Sciences - 2021