all AI news
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity. (arXiv:2208.08901v1 [eess.SP])
Aug. 19, 2022, 1:10 a.m. | Payongkit Lakhan, Nannapas Banluesombatkul, Natchaya Sricom, Korn Surapat, Ratha Rotruchiphong, Phattarapong Sawangjai, Tohru Yagi, Tulaya Limpiti, Th
cs.LG updates on arXiv.org arxiv.org
Brain biometrics based on electroencephalography (EEG) have been used
increasingly for personal identification. Traditional machine learning
techniques as well as modern day deep learning methods have been applied with
promising results. In this paper we present EEG-BBNet, a hybrid network which
integrates convolutional neural networks (CNN) with graph convolutional neural
networks (GCNN). The benefit of the CNN in automatic feature extraction and the
capability of GCNN in learning connectivity between EEG electrodes through
graph representation are jointly exploited. We examine …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Research Assistant/Associate, Health Data Science [LKCMedicine]
@ Nanyang Technological University | NTU Novena Campus, Singapore
Senior Machine Learning Engineer, Portfolio ML
@ Affirm | Remote Canada
[Sessional Lecturer] Foundations of Data Analytics and Machine Learning - APS1070
@ University of Toronto | Toronto, ON, CA
Senior Data Scientist
@ Prosper | United States
Data Analyst
@ ZF Friedrichshafen AG | Coimbatore, TN, IN, 641659