1st Early-Career Researchers’ Day of the DATA Programme I-SITE CAP 20-25

Session

Poster Flash Talks

26 févr. 2026, 11:50

Amphi 2 (Pôle Commun)

Présidents de session

Poster Flash Talks

• Emmanuel Gangler (LPCA)

Documents de présentation

Early-Carrer-2026-Flash-posters.pdf

15. Adaptive Real-time Feedback for Group Discussions using Reinforcement Learning

Poster

Real-time feedback has the potential to significantly improve group dynamics in collaborative environments. However, delivering timely and context-aware interventions remains a challenge especially in the absence of annotated data. In this work we explore the use of reinforcement learning (RL) to provide real-time, adaptive feedback at the group level that promotes effective group...

14. Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

Poster

Augmented reality from preoperative 3D model registration is promising to assist navigation in minimally-invasive liver surgery. The current registration methods are either accurate, but require surgeon interactions to annotate anatomical landmarks, or are fully automatic, but inaccurate. We propose a two-step automatic and accurate registration method. Step 1) segments the registration...

23. Concept-Based Learning for Explainable AI

Poster

Field: Machine Learning / Explainable Artificial Intelligence
Affiliation: LIMOS

Deep learning models have achieved remarkable performance across a wide range of tasks, yet their lack of transparency remains a major obstacle to deployment in high-stakes and human-centered settings. My research addresses this challenge through concept-based learning, a paradigm that introduces...

16. Deep Learning Algorithms on SWIR Images for Road Perception in Harsh Weather

Poster

Current autonomous driving algorithms heavily rely on the visible spectrum, which is prone to performance degradation in adverse conditions like fog, rain, snow, glare, and high contrast. Short-wave infrared (SWIR) has opened up new perspectives to enhance perception in such situations, which also offers several advantages over NIR and LWIR bands. This project aims to analyze the feasibility...

10. Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator

Poster

We present a new version of the truncated harmonic mean estimator (THAMES) for univariate or multivariate mixture models. The estimator computes the marginal likelihood from Markov chain Monte Carlo (MCMC) samples, is consistent, asymptotically normal and of finite variance. In addition, it is invariant to label switching, does not require posterior samples from hidden allocation vectors, and...

24. Exploring Bubble Flow with Deep Learning: A Preliminary Study

Poster

In a bubble flow study, the bubble size measurement requires identifying every instance in each image frame in the first place. However, their tininess and highly overlapped instances hindered not only human-level manipulation but also any deep learning-based detectors. In addition, their dense presentation in the observation zone made manually measuring phase time-consuming and laborious....

21. Finding missing data by modelling and solving the MCC problem

Poster

Missing data is a pervasive issue in empirical datasets, arising when individuals or data-collection devices fail to record observations, resulting in missing attribute values or, in some cases, entire records. Such incompleteness is common in real-world domains, including clinical databases such as Traumabase. A central challenge is whether missing values can be imputed in a manner that...

26. MMW Radar and Optical Camera Fusion Architecture for Mobile Robot Perception in Poorly Structured Environments and Adverse Weather Conditions

Poster

The complementary nature of radar and camera sensors offers a promising way to overcome the current limitations of robotic perception, particularly in poorly structured environments or those subject to weather disturbances. Although this synergy is recognized, research still focuses primarily on optimizing perception algorithms or decision-making systems, relegating the joint use of these...

12. Security and Confidentiality in Retrieval-Augmented Generation Systems

Poster

Résumé
This Ph.D. research is conducted within the LIMOS laboratory (UMR 6158), Université Clermont Auvergne, and can be part of the DATA programme (I-SITE CAP 20-25), within the domain of Artificial Intelligence for the secure exploitation of data.

The DATA programme aims to address the full lifecycle of data, from acquisition and integration to large-scale storage and value creation...

19. Vaccination des modèles de détection d'intrusion

Poster

Les modèles de détection d'intrusion sont sensible à l'ajout de nouveaux éléments dans leur infrastructure. On explore dans notre travail en cours la possibilité d'intégrer un échantillon d'un flux futur qu'on peux simuler dans l'infrastructure, afin d'entraîner le modèle en amont et accroître les performances. On propose ainsi un schéma de modèle semi-supervisé online de détection d'intrusion...