Zisheng Zhang

Orcid: 0000-0001-8991-2759

Affiliations:
  • University of Minnesota, Minneapolis, MN, USA


According to our database1, Zisheng Zhang authored at least 10 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
M3U: Minimum Mean Minimum Uncertainty Feature Selection for Multiclass Classification.
J. Signal Process. Syst., 2020

2019
MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection.
IEEE Trans. Knowl. Data Eng., 2019

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., 2019

2016
Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power.
IEEE Trans. Biomed. Circuits Syst., 2016

Machine learning classifiers using stochastic logic.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Seizure prediction using long-term fragmented intracranial canine and human EEG recordings.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Seizure detection using regression tree based feature selection and polynomial SVM classification.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Seizure prediction using polynomial SVM classification.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Seizure prediction using cross-correlation and classification.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Seizure detection using wavelet decomposition of the prediction error signal from a single channel of intra-cranial EEG.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


  Loading...