Weighted visibility graph with complex network features in the detection of epilepsy S Supriya, S Siuly, H Wang, J Cao, Y Zhang IEEE access 4, 6554-6566, 2016 | 97 | 2016 |
Automatic epilepsy detection from EEG introducing a new edge weight method in the complex network S Supriya, S Siuly, Y Zhang Electronics Letters 52 (17), 1430-1432, 2016 | 40 | 2016 |
Analyzing EEG signal data for detection of epileptic seizure: Introducing weight on visibility graph with complex network feature H Wang, G Zhuo, Y Zhang Australasian Database Conference, 56-66, 2016 | 18 | 2016 |
EEG sleep stages analysis and classification based on weighed complex network features S Supriya, S Siuly, H Wang, Y Zhang IEEE Transactions on Emerging Topics in Computational Intelligence, 2018 | 14 | 2018 |
An efficient framework for the analysis of big brain signals data H Wang, Y Zhang Australasian database conference, 199-207, 2018 | 7 | 2018 |
DeepWeb data extraction using query string formation M Sharma 2014 International Conference on Reliability Optimization and Information …, 2014 | 3 | 2014 |
Automated epilepsy detection techniques from electroencephalogram signals: a review study S Supriya, S Siuly, H Wang, Y Zhang Health Information Science and Systems 8 (1), 1-15, 2020 | 2 | 2020 |
Deep Webpage Classification and Extraction (DWCE) M Sharma Department Of Computer Science, 2013 | 1 | 2013 |
Weighted complex network based framework for epilepsy detection from EEG signals S Supriya, S Siuly, H Wang, Y Zhang | 1 | |
Epilepsy Detection from EEG using Complex Network Techniques: A Review S Supriya, S Siuly, H Wang, Y Zhang IEEE Reviews in Biomedical Engineering, 2021 | | 2021 |
Brain Signal Analysis and Classification by Developing New Complex Network Techniques S Supriya Victoria University, 2020 | | 2020 |