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1. FEATURE SELECTION AND CLASSIFICATION TO AUTOMATICALLY DETECT KNEE OSTEOARTHRITIS USING MRI

open_access
Open Access
Author:
Keffalas, Matthew George
Title:
FEATURE SELECTION AND CLASSIFICATION TO AUTOMATICALLY DETECT KNEE OSTEOARTHRITIS USING MRI
Area of Honors:
Electrical Engineering
Keywords:
support vector machine
feature selection
osteoarthritis
machine learning
MRI
File:
Download thesis_final.pdf
Thesis Supervisors:
David Miller, Thesis Supervisor
David Jonathan Miller, Thesis Supervisor
Kenneth Urish, Thesis Supervisor
Jeffrey Louis Schiano, Thesis Honors Advisor

2. Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media

open_access
Open Access
Author:
Murphy, William P
Title:
Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media
Area of Honors:
Information Sciences and Technology
Keywords:
machine learning
sentiment analysis
data mining
social media
twitter
supervised learning
File:
Download shc_thesis.pdf
Thesis Supervisors:
John Yen, Thesis Supervisor
Lisa Firing Lenze, Thesis Honors Advisor

4. Using Student Characteristics for Machine Learning Modeling in Higher Education Alumni Giving

open_access
Open Access
Author:
Mirabile, Dominic
Title:
Using Student Characteristics for Machine Learning Modeling in Higher Education Alumni Giving
Area of Honors:
Information Sciences and Technology
Keywords:
machine learning
algorithms
higher education
fundraising
artificial intelligence
File:
Download Thesis_Mirabile_Dominic.pdf
Thesis Supervisors:
Vasant Gajanan Honavar, Thesis Supervisor
Andrea H Tapia, Thesis Honors Advisor
Andrea H Tapia, Faculty Reader

8. HOW THE SYMBIOSIS OF ARTIFICIAL INTELLIGENCE AND JOURNALISM WILL SHAPE THE FUTURE OF NEWS MEDIA

open_access
Open Access
Author:
Berti, Ryan P
Title:
HOW THE SYMBIOSIS OF ARTIFICIAL INTELLIGENCE AND JOURNALISM WILL SHAPE THE FUTURE OF NEWS MEDIA
Area of Honors:
Journalism
Keywords:
artificial intelligence
journalism
machine learning
augmentation
automation
robot journalism
fack-checking
personalization
automated content
File:
Download Thesis_AI_Journalism_Ryan_Berti_1.mp4Download USEBerti_thesis_2.pdfDownload USEThesis_AI_Journalism_Ryan_Berti.mp4
Thesis Supervisors:
Curtis William Chandler, Thesis Supervisor
Russell Frank, Thesis Honors Advisor

9. Extending the Temporal Range of Hierarchical Deep Reinforcement Learning

open_access
Open Access
Author:
De La Fuente Duran, Andres
Title:
Extending the Temporal Range of Hierarchical Deep Reinforcement Learning
Area of Honors:
Computer Science
Keywords:
machine learning
reinforcement learning
deep neural networks
temporal abstraction
hierarchical learning
artificial intelligence
File:
Download honors_thesis__1_.pdf
Thesis Supervisors:
Vasant Gajanan Honavar, Thesis Supervisor
Dr. John Joseph Hannan, Thesis Honors Advisor