Index Catalog // Hyrax

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1. Exploring Internal Representations Learned by Autoencoders for Sleep EEG

Stichwort:: denoising autoencoders, machine learning, disentangled representations, power spectrogram, beta-variational autoencoders, and sleep eeg signal analysis
Schöpfer:: Soota, Akshit
Advisor:: Alvarez, Sergio A. and Ruiz, Carolina
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2024-08-15
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

2. Strategies and Structures for Biological Datasets Integration and Knowledge Discovery

Stichwort:: Single-cell RNA Sequencing, Data Integration, CCA, Network Analysis, Biology, and Feature Engineering
Schöpfer:: Teeple, Erin
Advisor:: Rundensteiner, Elke A.
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2023-07-25
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

3. Biological Discovery via Data Science: Multigranular Artificial Intelligence Approaches for Cells, Cerebra and Cruise Ships

Stichwort:: Bioinformatics, Single-cell Transcriptomics, Artificial Intelligence, Data Science, Infectious Disease Epidemiology, and Neuropsychiatry
Schöpfer:: Srinivasan, Suhas
Advisor:: Korkin, Dmitry
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2022-03-01
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

4. Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure

Schöpfer:: Narykov, Oleksandr
Advisor:: Korkin, Dmitry
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2022-04-27
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

5. Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series

Stichwort:: Feature extraction, Human Sleep, Interpretable Deep learning, Feature Visualization, and Learning representations
Schöpfer:: Paisarnsrisomsuk, Sarun
Advisor:: Ruiz, Carolina and Alvarez, Sergio A.
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2021-08-11
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

6. Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning

Stichwort:: mental heath screening, deep learning, audio, machine learning, and voice
Schöpfer:: Toto, Ermal
Advisor:: Rundensteiner, Elke A.
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2021-03-19
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

7. Attention-based Deep Learning Models for Text Classification and their Interpretability

Schöpfer:: Sen, Cansu
Advisor:: Rundensteiner, Elke A. and Kong, Xiangnan
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2020-08-10
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

8. Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning

Stichwort:: community detection, biological network, robust autoencoder, deep learning, and gene expression clustering
Schöpfer:: Cui, Hongzhu
Advisor:: Korkin, Dmitry
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2019-04-24
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

9. Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series

Stichwort:: semi-Markov chain, distributed data processing system, discrete time series, and deviated dynamic time warping
Schöpfer:: Wang, Chiying
Advisor:: Ruiz, Carolina
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2016-04-27
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

10. Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and Observations

Stichwort:: cloud robotics, Learning from Demonstration, active visual search, and Robotics
Schöpfer:: Toris, Russell C
Advisor:: Chernova, Sonia
Herausgeber:: Worcester Polytechnic Institute
Datum erstellt:: 2016-04-20
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science