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Filtering by: Creator Ger, Stephanie Kwang-Yu Keyword Explainability Subject Applied mathematics

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Recurrent Neural Network Architectures for Sequence Classification and Explanation

Description:

This thesis focuses on applications of recurrent neural networks (RNNs) for three aspects of sequential classification. In the first chapter, a novel method to generate synthetic minority data generation to improve imbalanced classification is discussed. Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic...

Keyword:

Explainability, Recurrent Neural Networks, and Machine Learning

Subject:

Applied mathematics

Creator:

Ger, Stephanie Kwang-Yu

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15394 and etdadmin_upload_780385