1st Early-Career Researchers’ Day of the DATA Programme I-SITE CAP 20-25
jeudi 26 février 2026 -
09:00
lundi 23 février 2026
mardi 24 février 2026
mercredi 25 février 2026
jeudi 26 février 2026
09:00
Welcome Coffee
Welcome Coffee
09:00 - 09:30
Room: Amphi 2
09:30
Plenary Session: Pierre Noyel Limagrain Europe : Artificial Intelligence for plant genomic prediction
Pierre Noyel Limagrain Europe : Artificial Intelligence for plant genomic prediction
09:30 - 10:30
Room: Amphi 2
10:30
Coffee Break
Coffee Break
10:30 - 10:50
Room: Amphi 2
10:50
Applied Machine Learning
10:50 - 11:10
Room: Amphi 2
Contributions
10:50
Jet Classification with Particle Transformers: A Multiclass Learning Approach
11:10
Anomaly Detection
11:10 - 11:50
Room: Amphi 2
Contributions
11:10
OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams
11:30
Characterization and anomaly detection in daily cow activities using wavelet-based features
11:50
Poster Flash Talks
11:50 - 12:20
Room: Amphi 2
12:20
Lunch Break - Buffet & Poster Session
Lunch Break - Buffet & Poster Session
12:20 - 14:00
Room: Salle de pause pole commun
14:00
Anomaly Detection
14:00 - 14:20
Room: Amphi 2
Contributions
14:00
Development of Statistical and Predictive Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing
14:20
Foundations and Sustainability in Machine Learning
14:20 - 15:20
Room: Amphi 2
Contributions
14:20
Apport des motifs gradual dans pour l'IA explicable
14:40
Fluctuations and concentration in two-layer neural networks
15:00
Contributing to reproducible software measurements of energy consumption for machine learning
15:20
Coffee Break
Coffee Break
15:20 - 15:40
Room: Amphi 2
15:40
Foundations and Sustainability in Machine Learning
15:40 - 16:00
Room: Amphi 2
Contributions
15:40
Towards Sustainable DBMS: A Framework for Real-Time Energy Estimation and Query Categorization
16:00
Applied Machine Learning
16:00 - 16:40
Room: Amphi 2
Contributions
16:00
Stylistic-STORM : Désenchevêtrement spectral auto-supervisé Utilisation de l’apprentissage antagoniste et JEPA pour l’analyse météorologique
16:20
A simple self-supervised model for modeling human visual learning
16:40
Final Discussion
Final Discussion
16:40 - 17:00
Room: Amphi 2