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2. SOCCER ANALYTICS: AN EXAMINATION OF CURRENT APPROACHES FOR GAME OUTCOME PREDICTION AND THE POTENTIAL OF DEEP LEARNING WITH ARTIFICIAL NEURAL NETWORKS

open_access
Open Access
Author:
Gomez Lorente, Juan
Title:
SOCCER ANALYTICS: AN EXAMINATION OF CURRENT APPROACHES FOR GAME OUTCOME PREDICTION AND THE POTENTIAL OF DEEP LEARNING WITH ARTIFICIAL NEURAL NETWORKS
Area of Honors:
Industrial Engineering
Keywords:
Machine Learning
Deep Learning
Neural Networks
Artificial Neural Networks
Poisson Regression
Soccer
Sports Analytics
Betting
Predictive Modelling
Moneyball Analytics
SoftMax Classifier
Regression
effects encoding
feed-forward networks
backpropagation
gradient descent
resilient backpropagation
Newton's Method
Taylor Series expansion
Manhattan Rule
Broyden–Fletcher–Goldfarb–Shanno algorithm
BFGS
Quasi-Newton Methods
File:
Download Juan_GomezLorente.pdf
Thesis Supervisors:
Hui Yang, Thesis Supervisor
Dr. Catherine Mary Harmonosky, Thesis Honors Advisor

3. Deep Ensemble Learning for Robust Defense Against Adversaries

open_access
Open Access
Author:
Adams, Ethan
Title:
Deep Ensemble Learning for Robust Defense Against Adversaries
Area of Honors:
Information Sciences and Technology
Keywords:
AI
Artificial Intelligence
ML
Machine Learning
TensorFlow
Keras
Python
AI Security
Ensemble Learning
Deep Learning
Neural Networks
Adversarial
Adversaries
File:
Download Adams_ThesisFinal.pdf
Thesis Supervisors:
Mahdi Nasereddin, Thesis Supervisor
Sandy Feinstein, Thesis Honors Advisor

8. The Prediction of Coronavirus Cases and an Analysis of the Factors Contributing to its Spread Across Universities in the United States

open_access
Open Access
Author:
Vo, Christopher
Title:
The Prediction of Coronavirus Cases and an Analysis of the Factors Contributing to its Spread Across Universities in the United States
Area of Honors:
Statistics
Keywords:
Coronavirus
Artificial Neural Network
Deep Learning
Multiple Linear Regression
Support Vector Regression
File:
Download ChrisVo_Honors_Thesis.pdfDownload ANN_Covid_College_pred.pdf
Thesis Supervisors:
Lingzhou Xue, Thesis Supervisor
Le Bao, Thesis Honors Advisor

10. Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers

open_access
Open Access
Author:
Rendar, Sean
Title:
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers
Area of Honors:
Data Sciences
Keywords:
Machine Learning
Deep Learning
Injury Prediction
Ulnar Collateral Ligament
Major League Baseball
File:
Download Rendar_Sean_Predicting_Ulnar_Collateral_Ligament_Injury_in_Rookie_Major_League_Baseball_Pitchers.pdf
Thesis Supervisors:
Fenglong Ma, Thesis Supervisor
John Yen, Thesis Honors Advisor