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.

Бібліографічні деталі
Автори:	Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Інші автори:	Hossain, Muhammad Iqbal
Формат:	Дисертація
Мова:	English
Опубліковано:	Brac University 2022
Предмети:	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
Онлайн доступ:	http://hdl.handle.net/10361/17538

http://hdl.handle.net/10361/17538

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