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Zisheng Zhang
Person information
- affiliation: University of Minnesota, Minneapolis, MN, USA
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2020 – today
- 2025
- [i1]Bangchen Yin, Jiaao Wang, Weitao Du, Pengbo Wang, Penghua Ying, Haojun Jia, Zisheng Zhang, Yuanqi Du, Carla P. Gomes, Chenru Duan, Hai Xiao, Graeme Henkelman:
AlphaNet: Scaling Up Local Frame-based Atomistic Foundation Model. CoRR abs/2501.07155 (2025) - 2020
- [j4]Zisheng Zhang, Keshab K. Parhi
:
M3U: Minimum Mean Minimum Uncertainty Feature Selection for Multiclass Classification. J. Signal Process. Syst. 92(1): 9-22 (2020)
2010 – 2019
- 2019
- [j3]Keshab K. Parhi
Discriminative Ratio of Spectral Power and Relative Power Features Derived via Frequency-Domain Model Ratio With Application to Seizure Prediction. IEEE Trans. Biomed. Circuits Syst. 13(4): 645-657 (2019) - [j2]Zisheng Zhang
MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection. IEEE Trans. Knowl. Data Eng. 31(9): 1750-1764 (2019) - 2016
- [j1]Zisheng Zhang, Keshab K. Parhi
Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power. IEEE Trans. Biomed. Circuits Syst. 10(3): 693-706 (2016) - [c6]Zisheng Zhang, Keshab K. Parhi
Seizure prediction using long-term fragmented intracranial canine and human EEG recordings. ACSSC 2016: 361-365 - [c5]Yin Liu, Hariharasudhan Venkataraman, Zisheng Zhang, Keshab K. Parhi
Machine learning classifiers using stochastic logic. ICCD 2016: 408-411 - 2015
- [c4]Zisheng Zhang, Thomas R. Henry
Seizure prediction using cross-correlation and classification. ACSSC 2015: 775-779 - [c3]Zisheng Zhang, Keshab K. Parhi
Seizure prediction using polynomial SVM classification. EMBC 2015: 5748-5751 - [c2]Zisheng Zhang, Keshab K. Parhi
Seizure detection using regression tree based feature selection and polynomial SVM classification. EMBC 2015: 6578-6581 - 2014
- [c1]Zisheng Zhang, Keshab K. Parhi
Seizure detection using wavelet decomposition of the prediction error signal from a single channel of intra-cranial EEG. EMBC 2014: 4443-4446
Coauthor Index
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