Cuntai Guan

Quantifying Explainability of Saliency Methods in Deep Neural Networks

Sep 07, 2020
Erico Tjoa, Cuntai Guan

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Federated Transfer Learning for EEG Signal Classification

Apr 26, 2020
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

* 6 pages, 2 figures, Accepted for IEEE Engineering in Medicine and Biology Society (EMBC) 2020

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TSception: A Deep Learning Framework for Emotion Detection Using EEG

Apr 08, 2020
Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan

* Authors information updated only. Accepted to be published in: 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, July 19--24, 2020, part of 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020)

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Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls

Mar 14, 2020
Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan

* 4 PAGES

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Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)

Feb 04, 2020
Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Seong Whan Lee, Cuntai Guan

* Extended research work of the manuscript titled 'Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA' published in proceeding of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

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