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An approach to detect epileptic seizure using XAI and machine learning

An approach to detect epileptic seizure using XAI and machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

書目詳細資料
Main Authors: Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
其他作者: Hossain, Muhammad Iqbal
格式: Thesis
語言:English
出版: Brac University 2022
主題:
Multi-class classification
Binary classification
K-Nearest Neighbor (KNN)
Decision tree algorithm
Random forest algorithm
Multi-Layer Perceptron (MLP)
Gradient boosting classifier
Gaussian Naïve Bayes
Complement Naïve Bayes
SGD Classifier
XAI
LIME Algorithm
Sudden Unexpected Death in Epilepsy (SUDEP)
Epileptic Seizure (ES)
Electroencephalogram (EEG)
Machine Learning
Computer algorithms
在線閱讀:http://hdl.handle.net/10361/17538
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http://hdl.handle.net/10361/17538

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