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Exploring Internal Representations Learned by Autoencoders for Sleep EEG

Palavra-chave:

denoising autoencoders, machine learning, disentangled representations, power spectrogram, beta-variational autoencoders, and sleep eeg signal analysis

O Criador:

Soota, Akshit

Advisor:

Alvarez, Sergio A. and Ruiz, Carolina

Editor:

Worcester Polytechnic Institute

Data Criada:

2024-08-15

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Computer Science
Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series

Palavra-chave:

Feature extraction, Human Sleep, Interpretable Deep learning, Feature Visualization, and Learning representations

O Criador:

Paisarnsrisomsuk, Sarun

Advisor:

Ruiz, Carolina and Alvarez, Sergio A.

Editor:

Worcester Polytechnic Institute

Data Criada:

2021-08-11

Resource Type:

Dissertation

Degree:

PhD

Unit (Department):

Computer Science