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1. On the Origin of Sequences: Computational Analysis of Somatic Hypermutation for Probabilistic Immunoglobulin Predecessor Identification

open_access
Open Access
Author:
Lengerich, Benjamin J
Title:
On the Origin of Sequences: Computational Analysis of Somatic Hypermutation for Probabilistic Immunoglobulin Predecessor Identification
Area of Honors:
Computer Science
Keywords:
Computer Science
Machine Learning
Bioinformatics
Somatic Hypermutation
Immunoglobulin Predecessor Identification
File:
Download Lengerich_Benjamin_thesis.pdf
Thesis Supervisors:
Raj Acharya, Thesis Supervisor
Dr. Jesse Louis Barlow, Thesis Honors Advisor

3. Optimization of a Gaussian Mixture Model using the Expectation-maximization Algorithm

open_access
Open Access
Author:
Blyton, David J
Title:
Optimization of a Gaussian Mixture Model using the Expectation-maximization Algorithm
Area of Honors:
Aerospace Engineering
Keywords:
Machine Learning
Seizure
Gaussian Mixture Model
Probability Model
File:
Download David_Blyton_Thesis_Final.pdf
Thesis Supervisors:
Shashi Phoha, Thesis Supervisor
Robert Graham Melton, Thesis Honors Advisor
Dr. George A Lesieutre, Faculty Reader

6. HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS

open_access
Open Access
Author:
Protivash, Prottay
Title:
HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS
Area of Honors:
Computer Engineering
Keywords:
CNN
Machine Learning
Hybrid Network
Handcrafted Features
File:
Download Protivash_Prottay_HYBRID_CNN.pdf
Thesis Supervisors:
John Morgan Sampson, Thesis Supervisor
Dr. Vijaykrishnan Narayanan, Thesis Honors Advisor

7. 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

10. MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS

open_access
Open Access
Author:
Baksa, Bridget Marie
Title:
MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS
Area of Honors:
Information Sciences and Technology
Keywords:
Artificial Intelligence
Machine Learning
Data Science
Clustering
Algorithms
Information Science
Technology
NYC
CitiBike
Big Data
Software Engineering
Python
File:
Download Bridget_Baksa_-_Schreyer_Thesis.pdf
Thesis Supervisors:
Dr. Abdullah Konak, Thesis Supervisor
Dr. Sandy Feinstein, Thesis Honors Advisor

11. 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

12. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: APPLICATIONS IN ARMY LOGISTICS

open_access
Open Access
Author:
Wonderling, Benjamin Jordan
Title:
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: APPLICATIONS IN ARMY LOGISTICS
Area of Honors:
Supply Chain and Information Systems
Keywords:
Artificial Intelligence
AI
Machine Learning
Logistics
Supply Chain
Internet of Things
Industry 4.0
Army Logistics
Military Logistics
Change Management
File:
Download Wonderling_Thesis_Final_Submission__2019-_ARTIFICIAL_INTELLIGENCE_AND_MACHINE_LEARNING__APPLICATIONS_IN_ARMY_LOGISTICS_1_.pdf
Thesis Supervisors:
Dr. Robert Alexander Novack, Thesis Supervisor
Dr. John C. Spychalski, Thesis Honors Advisor

13. REAL-TIME OCCLUSION BETWEEN REAL AND DIGITAL OBJECTS IN AUGMENTED REALITY

open_access
Open Access
Author:
Jain, Pranav
Title:
REAL-TIME OCCLUSION BETWEEN REAL AND DIGITAL OBJECTS IN AUGMENTED REALITY
Area of Honors:
Computer Science
Keywords:
Augmented Reality
Computer Vision
Machine Learning
Model Fitting
Occlusion
File:
Download flying_drone_with_lockedaxis_1.MOVDownload ScreenRecording_02-20-2019_15.MP4Download ScreenRecording_02-19-2019_20-37-57.mp4Download ScreenRecording_04-03-2019_15-27-03.MP4Download master.pdf
Thesis Supervisors:
Conrad S Tucker, Thesis Supervisor
Rebecca Jane Passonneau, Thesis Honors Advisor

14. 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

17. 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

20. Artificial Intelligence & Machine Learning: Supply Chain Risk Management

open_access
Open Access
Author:
Pan, Tina
Title:
Artificial Intelligence & Machine Learning: Supply Chain Risk Management
Area of Honors:
Supply Chain and Information Systems
Keywords:
AI
ML
SCRM
Artificial Intelligence
Machine Learning
Supply Chain Risk Management
AI in SCRM
Risks
Supply Chain
File:
Download Tina_Pan_Thesis_AL_MLinSCRM.pdf
Thesis Supervisors:
Robert Alexander Novack, Thesis Supervisor
John C Spychalski, Thesis Honors Advisor