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1. Towards a Different Classification of Mood and Anxiety: A Critical Review of the History of Psychopathology Classification and a Psychometric Investigation of a New Self-Report Measure of Negative Affectivity

open_access
Open Access
Author:
Sharpless, Brian Andrew
Title:
Towards a Different Classification of Mood and Anxiety: A Critical Review of the History of Psychopathology Classification and a Psychometric Investigation of a New Self-Report Measure of Negative Affectivity
Graduate Program:
Psychology
Keywords:
Negative Affect
Psychopathology
Classification
History of Psychology
Mood Disorders
Anxiety Disorders
Self Report Measures
File:
Download Final_Diss_Printing_Copy.pdf
Committee Members:
Thomas D Borkovec, Committee Chair/Co-Chair
Louis Georges Castonguay, Committee Member
Daniel Joseph Conway, Committee Member
Craig Edelbrock, Committee Member

2. LEARNING IN EXTREME CONDITIONS: ONLINE AND ACTIVE LEARNING WITH MASSIVE, IMBALANCED AND NOISY DATA

open_access
Open Access
Author:
Ertekin, Seyda
Title:
LEARNING IN EXTREME CONDITIONS: ONLINE AND ACTIVE LEARNING WITH MASSIVE, IMBALANCED AND NOISY DATA
Graduate Program:
Computer Science and Engineering
Keywords:
Machine Learning
Online Learning
Active Learning
Support Vector Machines
Classification
Data Mining
File:
Download SeydaErtekin_Dissertation.pdf
Committee Members:
C Lee Giles, Dissertation Advisor/Co-Advisor
C Lee Giles, Committee Chair/Co-Chair
Leon Bottou, Committee Member
Raj Acharya, Committee Member
Jia Li, Committee Member
Tracy Mullen, Committee Member

3. Information Extraction and Metadata Annotation for Algorithms in Digital Libraries

open_access
Open Access
Author:
Tuarob, Suppawong
Title:
Information Extraction and Metadata Annotation for Algorithms in Digital Libraries
Graduate Program:
Computer Science and Engineering
Keywords:
Algorithms
Search Engine
Machine Learning
Classification
File:
Download tuarob_phd_cse_dissertation.pdf
Committee Members:
C Lee Giles, Dissertation Advisor/Co-Advisor
Prasenjit Mitra, Dissertation Advisor/Co-Advisor
Raj Acharya, Committee Chair/Co-Chair
Robert Collins, Committee Member
Wang Chien Lee, Committee Member
Conrad S Tucker, Committee Member
Lee David Coraor, Special Member

4. Classification of Transients by Distance Measures

open_access
Open Access
Author:
Park, Sae Na
Title:
Classification of Transients by Distance Measures
Graduate Program:
Statistics
Keywords:
Classification
Kullback-Leibler divergence
Kernel density estimation
Transients
Variable stars
File:
Download SaenaPark-Dissertation.pdf
Committee Members:
G Jogesh Babu, Dissertation Advisor/Co-Advisor
G Jogesh Babu, Committee Chair/Co-Chair
John Fricks, Committee Member
Matthew Logan Reimherr, Committee Member
Eric B Ford, Committee Member

5. Explainable, Informed Deep Learning For Signal And Image Estimation

open_access
Open Access
Author:
Metwaly, Kareem
Title:
Explainable, Informed Deep Learning For Signal And Image Estimation
Graduate Program:
Electrical Engineering
Keywords:
Deep Learning
Neural Network
Image Processing
Signal Processing
Algorithm Unrolling
Dehazing
Beampattern Design
Classification
Computer Vision
Attribute Prediction
Prior Guided
Informed Learning
Estimation
File:
Download KareemMetwaly.pdf
Committee Members:
Abhronil Sengupta, Major Field Member
William Higgins, Major Field Member
Vikash Gayah, Outside Unit & Field Member
Vishal Monga, Chair & Dissertation Advisor
Thomas La Porta, Program Head/Chair

6. Machine Learning in Cardiac Diseases - Comparison of Performance of Selected Algorithms

open_access
Open Access
Author:
Lee, Beom Ki
Title:
Machine Learning in Cardiac Diseases - Comparison of Performance of Selected Algorithms
Graduate Program:
Industrial Engineering
Keywords:
Machine Learning
Healthcare
Classification
Supervised Learning
Prediction
Data Analysis
Data Science
Cardiovascular
File:
Download BKLEE_Thesis_FinalDraft.pdf
Committee Members:
Steven James Landry, Program Head/Chair
Soundar Kumara, Thesis Advisor/Co-Advisor
Paul Griffin, Committee Member

8. Machine Learning Methods for Regression and Classification with Functional Data

restricted_to_institution
Restricted (Penn State Only)
Author:
Wright, Isaac
Title:
Machine Learning Methods for Regression and Classification with Functional Data
Graduate Program:
Statistics
Keywords:
Functional Data
Boosting
Decision Trees
Classification
Regression
Machine Learning
Supervised Learning
Unsupervised Learning
File:
Login to Download
Committee Members:
Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Jia Li, Major Field Member
Matthew Reimherr, Chair & Dissertation Advisor
John Liechty, Outside Unit & Field Member
Francesca Chiaromonte, Major Field Member

9. Deep Learning Approach to Large-Scale Systems

restricted_to_institution
Restricted (Penn State Only)
Author:
Altamimi, Abdulelah Lafi
Title:
Deep Learning Approach to Large-Scale Systems
Graduate Program:
Electrical Engineering
Keywords:
Deep Reinforcement Learning
Wildfire Mitigation
Stochastic Model Predictive Control
Classification
System Identification
Parameters Estimation
Deep Learning
Neural Network
File:
Login to Download
Committee Members:
Minghui Zhu, Major Field Member
Constantino Lagoa, Chair & Dissertation Advisor
Jing Yang, Major Field Member
Kostas Papakonstantinou, Outside Unit & Field Member
Madhavan Swaminathan, Program Head/Chair

10. A Differentiable Synthetic Prediction Market

restricted_to_institution
Restricted (Penn State Only)
Author:
Balaji, Laxmaan
Title:
A Differentiable Synthetic Prediction Market
Graduate Program:
Computer Science and Engineering
Keywords:
Machine Learning
Prediction Market
Synthetic Prediction Market
Supervised Learning
Classification
File:
Login to Download
Committee Members:
Chitaranjan Das, Program Head/Chair
C Lee Giles, Thesis Advisor/Co-Advisor
Sarah Michele Rajtmajer, Thesis Advisor/Co-Advisor
Christopher H Griffin, Committee Member