29 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.LG2026
NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech +12
Foundation models (FMs) promise to extract unified representations that generalize across downstream tasks. They have emerged across fields, including electroencephalography (EEG),…
cs.CV2022★ 29 cited
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
Efstathios Karypidis, Stylianos G. Mouslech, Kassiani Skoulariki +1
The purpose of the study is to analyse and compare the most common machine learning and deep learning techniques used for computer vision 2D object classification tasks. Firstly, w…