most citedStudying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning

Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Chao Feng +3

Decentralized Federated Learning (DFL) enables collaborative, privacy-preserving model training without relying on a central server. This decentralized approach reduces bottlenecks…

eess.SP2022★ 2 cited

Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez +3

- Background / Introduction: Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science…