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.

Podrobná bibliografie
Hlavní autoři:	Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Další autoři:	Hossain, Muhammad Iqbal
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2022
Témata:	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
On-line přístup:	http://hdl.handle.net/10361/17538

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

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