6 citations
5 papers
Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
Amirhossein Zare, Amirhessam Zare, Parmida Sadat Pezeshki +5
Class imbalance remains a major challenge in machine learning, especially for high-dimensional biomedical data where nonlinear manifold structures dominate. Traditional oversamplin…
FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport
Herlock, Rahimi, Dionysis Kalogerias
Federated Learning (FL) allows distributed model training without sharing raw data, but suffers when client participation is partial. In practice, the distribution of available use…
Convergence of Agnostic Federated Averaging
Herlock, Rahimi, Dionysis Kalogerias
Federated learning (FL) enables decentralized model training without centralizing raw data. However, practical FL deployments often face a key realistic challenge: Clients particip…
ERIOS: Co-construction of a Dynamic Temporal Visualization Tool in the Electronic Health Record
Louise Robert, Quentin Luzurier, Anaïs Velcker +3
ERIOS, is a collaborative project between Dedalus, a health software company, Montpellier University Hospital Center (CHU), and the University of Montpellier. This initiative aims…
Recent Results and Future Plans of the MoEDAL Experiment
Michael Staelens
The Monopole and Exotics Detector at the LHC (MoEDAL) is a pioneering LHC experiment designed to search for anomalously ionizing messengers of new physics such as magnetic monopole…