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1. COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS

open_access
Open Access
Author:
Colom, Daniel A
Title:
COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS
Area of Honors:
Computer Engineering
Keywords:
Machine Learning
Neural Network
Information Network
Representation Learning
Similarity Functions
File:
Download Daniel_Colom_Thesis.pdf
Thesis Supervisors:
Wang-Chien Lee, Thesis Supervisor
Dr. Jesse Louis Barlow, Thesis Honors Advisor

2. A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data

open_access
Open Access
Author:
Gault, William
Title:
A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data
Area of Honors:
Data Sciences
Keywords:
Data Science
Machine Learning
Feature Engineering
Linear Regression
Neural Network
File:
Download William_Gault_Thesis.pdf
Thesis Supervisors:
John Yen, Thesis Supervisor
John Yen, Thesis Honors Advisor
Suhang Wang, Faculty Reader

4. Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis

open_access
Open Access
Author:
Pannone, Andrew
Title:
Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis
Area of Honors:
Engineering Science
Keywords:
Neural Network
EEG
Neuromorphic Computing
Handwriting Recognition
File:
Download Pannone_Thesis_Final_Edition_SHC.pdf
Thesis Supervisors:
Saptarshi Das, Thesis Supervisor
Lucas Jay Passmore, Thesis Honors Advisor