Publications

• Article dans une revue

Combining real data and expert knowledge to build a Bayesian Network — Application to assess multiple risk factors for fall among elderly people

Gulshan Sihag, Véronique Delcroix, Emmanuelle Grislin-Le Strugeon, Xavier Siebert, Sylvain Piechowiak, François Puisieux

Building a prediction model based on both real data and expert knowledge can be challenging. We experienced this difficulty in our context of predicting fall risk factors in the elderly, where two sources of data were available: hand-reported information from medical consultations and expert…

Expert Systems with Applications, 2024, 252, pp.124106. ⟨10.1016/j.eswa.2024.124106⟩. ⟨hal-04649596⟩

• Communication dans un congrès

Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization

Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

Bayesian optimization (BO) is a black-box search method particularly valued for its sample efficiency. It is especially effective when evaluations are very costly, such as in hyperparameter optimization or Neural Architecture Search (NAS). In this work, we design a fast NAS method based on BO.…

33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨hal-04611343⟩

• Chapitre d'ouvrage

Interface Characterization by Nanoindentation and EBSD of Cu/Cu and Al/Cu Joints Produced by Magnetic Pulse Welding (MPW)

Benjamin Zielinski, Tarik Sadat, Rudy Dubois, José La Barbera, Cyrille Collin, Lola Lilensten, Denis Jouaffre, Eric Markiewicz, Laurent Dubar

Magnetic Pulse Welding (MPW) is a high-velocity impact welding technique that allows the joining of dissimilar materials such as aluminium and copper. Welding should be produced under the appropriate conditions: impact velocity (200-500 m.s-1) and collision angle (10-30°). The formation mechanisms…

Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity. ICTP 2023, 3, Springer Nature Switzerland, pp.53-63, 2024, Lecture Notes in Mechanical Engineering, 978-3-031-41341-4. ⟨10.1007/978-3-031-41341-4_7⟩. ⟨hal-04279006⟩

• Pré-publication, Document de travail

The peasants are revoting, sire, and at random times

Enka Blanchard, Peter y A Ryan

Inspired by how coercion happens in practice in complex social networks where weak ties are more important than unilateral force, we propose a new mitigation mechanism based on revoting: adding an extra revoting period of random duration. Not only does this add opportunities to resist coercion, it…

2024. ⟨hal-04650731⟩

• Communication dans un congrès

Human Torque Estimation for an LMI-based Convex Control Rehabilitation Strategy using Assistive Robots

Jorge Ibarra, Kaouther Moussa, Jimmy Lauber

The number of people affected by motor impairment has increased considerably in recent years, raising, in consequence, the interest in the use of assistive robotic devices for additional motricity and rehabilitation purposes. The main challenge for this kind of devices is dealing with the…

American Control Conference 2024, Jul 2024, Toronto ( CA ), Canada. ⟨hal-04517410⟩

• Document associé à des manifestations scientifiques

Women and minorities in research

Rachel Torchet, Emre Özel, Enka Blanchard, Camille Maumet

Medical Imaging with Deep Learning - Doctoral Symposium, Jul 2024, Paris, France. ⟨hal-04653360⟩

• Article dans une revue

Gamification in the Transport and Mobility Sector: A Systematic Review

Eugénie Avril, Angèle Picco, Colin Lescarret, Céline Lemercier, Amaël Arguel, Loïc Caroux

Gamification is an emerging concept that is often used and cited for its known motivational and engagement qualities. Although gamification is studied and applied in a variety of fields, to our knowledge no overview in the field of transport and mobility exists. There is thus a need for a…

Transportation Research Part F: Traffic Psychology and Behaviour, 2024, 104, pp.286-302. ⟨10.1016/j.trf.2024.06.004⟩. ⟨hal-04614172⟩

• Rapport

Management des risques éthiques au travail : Études de cas

Hiba Belgziz, Lucas Dancoisne, Romane Paquez, Soulayma Sabri, Damien Trentesaux

Ce rapport présente différentes études qui ont été menées sur des cas de conflits éthiques en entreprise. L’étude démontre quels sont les facteurs qui participent à l’émergence de ces conflits, comment ils ont été gérés en interne et la méthode qui aurait pu être appliquée. Différentes catégories…

UPHF. 2024. ⟨hal-04642602⟩

• Communication dans un congrès

Modeling approaches of an industrial symbiosis: state-of-the-art

Soukaina Benchari, Cecilia Daquin, Yves Sallez, Emmanuelle Grislin-Le Strugeon

The linear economy (LE) system, utilized since the beginning of the industrial era, has demon strated its incapacity to fulfill the goals of sustainable development [4]. The linear production process, characterized by raw material extraction, production, consumption, and disposal, accelerated by…

Congrès annuel de la SAGIP, May 2024, Villeurbanne (Lyon), France. ⟨hal-04639336⟩

• Communication dans un congrès

Towards artificial intelligence-based rail driving assistance tools, Vers des outils d’aide à la conduite ferroviaire à base d’intelligence artificielle

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen

The work presented in this paper is conducted as part of the Academics4Rail Project, funded by Europe’s Rail, the new European partnership in the railway sector within the framework of the Horizon Europe research project. The aim of Academics4Rail is to propose driver assistance systems for railway…, Les travaux présentés dans ce papier sont réalisés dans le cadre du Projet Academics4Rail, financé par Europe’s Rail, qui est le nouveau partenariat européen dans le domaine ferroviaire créé dans le cadre du projet de recherche Horizon Europe. Le but d’Academics4Rail est de proposer des assistances…

2ème congrès annuel de la SAGIP, Société d'Automatique, de Génie Industriel et de Productique, May 2024, Villeurbane, France. ⟨hal-04541829⟩