Abstract: Important concerns when using medical data for Machine Learning (ML) is patient privacy and bias. Federated Learning (FL), the training of a centralized model by using parameters from ...
This repository provides a baseline for the CCF-AATC 2025 Challenge Track 1, which aims to do speech restoration under multiple distortions: Acoustic Degradation: (Noise & Reverberation) Signal Chain ...
Abstract: This research investigates the application of Vision Transformers (ViT) for facial emotion recognition through extensive experimentation on three benchmark datasets: CK+, FER2013, and ...
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