Ensemble Learning for Alcoholism Classification Using EEG Signals

Author:

Cohen Seffi1ORCID,Katz Or1,Presil Dan1,Arbili Ofir1ORCID,Rokach Lior1ORCID

Affiliation:

1. Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Be’er Sheva, Israel

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Similarity measurement of symbolic sequence based on complexity estimate and dynamic time warping;Nonlinear Dynamics;2024-07-24

2. Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection;Bioengineering;2024-05-07

3. EEG-Based Brain Disease Classification: A Proposed Model Using CNN-RNN Ensemble Process;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. SSDNet: A SEMISUPERVISED DEEP GENERATIVE ADVERSARIAL NETWORK FOR ELECTROENCEPHALOGRAM-BASED EMOTION RECOGNITION;Journal of Mechanics in Medicine and Biology;2024-02-28

5. Robust Prediction of Alcoholism from EEG Signals Using Auto-Encoder;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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