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.

Bibliografski detalji
Glavni autori:	Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Daljnji autori:	Hossain, Muhammad Iqbal
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2022
Teme:	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
Online pristup:	http://hdl.handle.net/10361/17538

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