Publications

Statistics

On quantitative Laplace-type convergence results for some exponential probability measures, with two applications

Laplace-type results characterize the limit of sequence of measures $(\pi_\varepsilon)_{\varepsilon >0}$ with density w.r.t the Lebesgue measure $(\mathrm{d} \pi_\varepsilon / \mathrm{d} \mathrm{Leb})(x) \propto \exp[-U(x)/\varepsilon]$ when the…

Valentin de Bortoli, Agnès Desolneux

Life Sciences

Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram

Background Quantifying gait using inertial measurement units has gained increasing interest in recent years. Highly degraded gaits, especially in neurological impaired patients, challenge gait detection algorithms and require specific segmentation…

Cyril Voisard, Nicolas de l'Escalopier, Aliénor Vienne-Jumeau, Albane Moreau, Flavien Quijoux, Flavie Bompaire, Magali Sallansonnet, Marie-Laure Brechemier, Irina Taifas, Camille Tafani, Eve Drouard, Nicolas Vayatis, Damien Ricard, Laurent Oudre

Frontiers in Neurology - 2023

Life Sciences

A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment

This paper presents a novel approach to creating a graphical summary of a subject's activity during a protocol in a Semi Free-Living Environment. Thanks to this new visualization, human behavior, in particular locomotion, can now be condensed into…

Sylvain Jung, Nicolas de l'Escalopier, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Damien Ricard

Sensors - 2023

Engineering Sciences

Evaluation of the possibility of determining fluctuations that could demonstrate the presence of particles interacting with photons

We are investigating the improvement of the precision of the means of measurement to determine if it is possible to have sufficient sensitivity to the detection of the effects of elementary particles which would be characteristic of dark matter. A…

Patrice Salzenstein, David Bassir

Photonics for Energy III - 2023

Engineering Sciences

Predicting Models for Local Sedimentary Basin Effect Using a Convolutional Neural Network

Although the numerical models can estimate the significant influence of local site conditions on the seismic propagation characteristics near the surface in many studies, they cannot feasibly predict the seismic ground motion amplification in…

Xiaomei Yang, Miao Hu, Xin Chen, Shuai Teng, Gongfa Chen, David Bassir

Applied Sciences - 2023

Engineering Sciences

A Symmetry Concept for the Self-Assembly Synthesis of Mn-MIL-100 Using a Capping Agent and Its Adsorption Performance with Methylene Blue

In this study, a facile strategy of regulated self-assembly synthesis of Mn-MIL-100, using sodium acetate (CH3COONa) as a mono-dentate ligand capping agent (CA), was proposed. The as-prepared product is denoted Mn-MIL-100-CA. The coordination…

Guolin Song, Chengzhu Shen, David Bassir, Qiulin Li

Symmetry - 2023

Engineering Sciences

Application of artificial intelligence and machine learning for BIM: review

Quality control is very important aspect in Building Information Modelling (BIM) workflows. Whatever stage of the lifecycle it is important to get and to follow building indicators. The BIM it is very data consuming field and analysis of these data…

David Bassir, Hugo Lodge, Haochen Chang, Jüri Majak, Gongfa Chen

International Journal for Simulation and Multidisciplinary Design Optimization - 2023

Engineering Sciences

Integration of the AI and ML Approaches for Prediction Analysis in Welding: Review

Welding techniques are presents in almost all industries from automotive, aerospace, building, etc. Despite the fact that the technology behind welding remain simple, it is very complicated to characterize and predict the final mechanics responses…

David Bassir

Advances in Machinery, Materials Science and Engineering Application IX - 2023

Software Engineering

Repeatability, Reproducibility, Replicability, Reusability (4R) in Journals' Policies and Software/Data Management in Scientific Publications: A Survey, Discussion, and Perspectives

With the recognized crisis of credibility in scientific research, there is a growth of reproducibility studies in computer science, and although existing surveys have reviewed reproducibility from various perspectives, especially very specific…

José Armando Hernández, Miguel Colom

Computer Science

Reproducible Research in Pattern Recognition

Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret

Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers - 2023