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Tim Bary

Researcher

Tim Bary holds a Master's degree in Biomedical Engineering with a specialization in biorobotics and biomechanics, which he earned from the Université Catholique de Louvain in 2023. His Master Thesis was dedicated to exploring the application of transformer neural networks for EEG (Electroencephalogram) processing and developing pre-training datasets from unlabelled data for this purpose.


Currently, Tim is pursuing his Ph.D. as a researcher for the MedReSyst-CA project. This project is focused on improving the adoption of AI and the knowledge transfer in the medical field through the development of Coalitionnal Active Learning, a novel approach that replaces the traditional single, perfectly accurate oracle with a coalition of flawed oracles. These "flawed oracles" have a non-zero chance of providing incorrect answers, challenging conventional paradigms in the pursuit of more robust and versatile learning methodologies.

Projects

MedReSyst

MED

Publications

2024

link

Bary, Tim ; Macq, Benoît. Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers in 22nd IEEE Mediterranean Electrotechnical Conference (MELECON 2024)22nd IEEE Mediterranean Electrotechnical Conference (MELECON 2024), Porto, Portugal, du 25/06/2024 au 27/06/2024

2023

link

Bary, Tim ; Macq, Benoît. Transformers for EEG classification : architectures, pre-training, and applications to epileptic seizure forecasting - Mémoire (Thesis)