MASDS Theses

A Geostatistical Analysis of Electric Charging Infrastructure in the United States

Joy Chen; MAS, 2023

Active Learning for Object Detection on Website Pages

Anders Seth Ward; MAS, 2023

Building an Options Portfolio with Deep Learning

Dylan Kinach Jorling; MAS, 2023

Credit Card Fraud Detection Using Logistic Regression and Machine Learning Algorithms

Haoyi Cheng; MAS, 2023

Evaluating the impact of Proposition 47 on property crimes in Los Angeles using causal inference methods

Bryan Ding; MAS, 2023

Factors that contribute to student applicants achieving and maintaining active status through the first academic year: a case study

Christopher Thomas Bowne; MAS, 2023

Hyperparameter Optimization for Machine Learning Algorithms with Application to the MNIST and CIFAR-10 Datasets

Duoduo Ying; MAS, 2023

Predicting Who Will Cover the Spread in NFL Games

Ajay Rakesh Patel; MAS, 2023

Revisiting Prediction of Credit Card Chargebacks in the Live Events Ticket Industry Using an Updated Tidymodels Framework

Angel Sierra; MAS, 2023

Survival Analysis on United Network for Organ Sharing(UNOS) Kidney Transplant Program

Seungyeon Lee; MAS, 2023

An Application of Machine Learning Methods on Classifying Disaster Tweets

Tianshu Fan; MAS, 2022

An evaluation of electric vehicle charging stations with respect to functional consumer demand

Francisco Avalos; MAS, 2022

An improvement on E-Commerce Search Engine for Automotive Parts Industry Using Siamese Neural Network with Triplet Loss and Contrastive Loss by Training Catalog Item Embeddings

Tyler Gyeongsu Chun; MAS, 2022

Comparing the Distributions of Home Rental Prices in Los Angeles County between Craigslist and the American Community Survey

Moody Billah; MAS, 2022

Experimenting with Online Advertisements Using Full Factorial Design

Michelle Nhu-y Trinh; MAS, 2022

Game Theoretical Solutions in Blackjack and Chess via a Markov Decision Process Algorithmic Analysis

Livingston Arthur Albritten; MAS, 2022

Incorporation of Potential Sentiment Analysis Variable from Social Media in Stock Price Prediction

Yu Miao; MAS, 2022

Predicting the Log Returns of Illumina, Inc. Stock

Shelly Chopra; MAS, 2022

An Application of Customized GPT-2 Text Generator for Modern Content Creators

Jingwu Fang; MAS, 2021

An application of sentiment analysis with transformer models on online news articles covering the Covid-19 pandemic

Prakul Asthana; MAS, 2021

Evaluating the relationship between health plan characteristics and CMS quality scores

Joon Won Suh; MAS, 2021

Evaluation of day-trading algorithms

Yasuhiro Yamaba; MAS, 2021

Image-based Attribute Association in Market Research Surveys

Garrett Blake Hoffman; MAS, 2021

Learning Grid Cells and Remapping in Curved Space: A Gauge Theoretic Perspective

Anthony Lutz; MAS, 2021

Mapping AirBnB in Los Angeles

Max Harris Belasco; MAS, 2021

Money For Nothing? Opportunity Zones and Causal Inference

Ryan A Kupyn; MAS, 2021

Paying Attention to Product Reviews: Sentiment Analysis with Additive, Multiplicative, and Local Attention Mechanisms

Greg Eastman; MAS, 2021

Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks

Asa Wilks; MAS, 2021

Prediction of Pima Indians Diabetes with Machine Learning Algorithms

Ruodi Huang; MAS, 2021

Sentiment classification Using different machine learning algorithms and different word vectorizer

Shuyang Cui; MAS, 2021

Statistical Analysis of The 2016 and 2017 NCAA Division-I Swimming Championships

Sarah Louise Kaunitz; MAS, 2021

What Did 60,000 People Write in Their Dating App Essays? Text Analyses Using Various Techniques

Grace Yang; MAS, 2021

Analysis of Biomarkers of Symptoms in Patients with Schizophrenia

Haorui Zhang; MAS, 2020

Application of Machine Learning Algorithms in Predicting Social-Planning Platform Donations

Daehyun Kim; MAS, 2020

Application of Statistical Models to Study Protein Stability in Subcellular Compartments

Shaohua Xiao; MAS, 2020

Auto Insurance Tenure Prediction and Analysis

Yi Chen; MAS, 2020

Beating the Book: A Machine Learning Approach to Identifying an Edge in NBA Betting Markets

Guy Dotan; MAS, 2020

Comparative Analysis of the SEIR and Point Process Models for Invasive Streptococcus Pneumoniae in Florida

Janella Shu; MAS, 2020

Empirical Study on the Effect of Zero-Padding in Text Classification with CNN

Henry Cheng; MAS, 2020

Heart Disease Prediction Using Machine Learning Algorithms

Shu Jiang; MAS, 2020

Housing Analysis and Prediction in Melbourne Australia

Zihao Huang; MAS, 2020

Housing Sale Price Prediction Using Machine Learning Algorithms

Yichen Zhou; MAS, 2020

NLP Analysis and Recommendation System for Yelp

Jiancong Sun; MAS, 2020

Predicting Musical Genres using Deep Learning and Ensembling

Andrew Minkyu Sang; MAS, 2020

Protecting Against False Inferences: A Comparison Between Stability Controlled Quasi-Experiment and Difference-in-Differences Approaches

Colleen Pinkelman; MAS, 2020

Statistical Analysis on Robotic Assisted Minimally Invasive Two Stage Anastomosis with Fistula Repair and a Diverting Loop Ileostomy​ Treatment of Diverticulitis

Sophie Lellis-Petrie; MAS, 2020

Stock Price Prediction using Adaptive Time Series Forecasting and Machine Learning Algorithms

Lumeng Chen; MAS, 2020

Usage of Electronic Health Record Phenotyping in American Adult Patients with Schizophrenia to Improve Detection of Type II Diabetes Mellitus

Austin Haynesworth; MAS, 2020

Using Recurrent and Mixture Density Network Architectures to Model National Basketball Association In-Game Win Probabilities

Henry Poole; MAS, 2020

An Application of Natural Language Processing: Named Entity Recognition with BLSTM in Chinese Corpora

Lihui Mao; MAS, 2019

Analysis of Point Process and SEIR Models for the Spread of Mumps in Pennsylvania

Yueyan Gao; MAS, 2019

Application of Experimental Design and Analysis in a Social Network Mobile App

Muxin Shang; MAS, 2019

Application of Machine Learning Algorithms in Predicting Credit Card Default Payment

Liyu Gui; MAS, 2019

Beer Production and Beer Judge in United States

Yi Hu; MAS, 2019

Building a Deeper Understanding of Voter Turnout Behavior in Los Angeles County in Preparation for the 2020 Election

Paul Beeman; MAS, 2019

Improving Automated Time Series Forecasting with the use of Model Ensembles

Christopher Thomas Meade; MAS, 2019

Loan Repayment Prediction Using Machine Learning Algorithms

Chang Han; MAS, 2019

Measurement and Evaluation of Professional League of Legends Teams for Optimal Strategy

Victor Wong; MAS, 2019

Modeling the Transmission Dynamics of Pertussis Using Recursive Point Process and SEIR model

Ah Sung Yang; MAS, 2019

Point Process Models for the spread of Coccidioidomycosis, an infectious disease, in California

Jiajia Wang; MAS, 2019

Prediction of Credit Card Chargebacks in the Live Events Ticketing Industry Using Machine Learning Algorithms

Kjell Sawyer;

Predictive Modelling for Loan Defaults

Leon Zhu; MAS, 2019

Rare Event Prediction with Mortgage Lead Data

Kaleb Julian Erickson; MAS, 2019

Scaling Down: Efficient Inference for Convolutional Neural Networks

Jason Shiego Osajima; MAS, 2019

Semi-Greedy Construction of Oblique-Split Decision Trees

Matthew Rudolph Larriva; MAS, 2019

Statistical Analysis of Wildfire Count and Size Distributions

Yu Huang; MAS, 2019

The Secret of Love in Speed Dating

Yunfan Shi; MAS, 2019

Two deep learning classifiers for human expression with emoji replacement

Jingyi Fang; MAS, 2019

Understanding Within-Season Changes in Major League Baseball Attendance

Tanner Michael Koscinski; MAS, 2019

Using Demographic and Geographic Traits to help ensure Fairness in Electoral Redistricting

Cole Sanders; MAS, 2019

Yelp Review Rating Prediction: Sentiment Analysis and the Neighborhood-Based Recommender

Rui Qiao; MAS, 2019

An Application of Recurrent Neural Network:Prediction of Items’ Price by Description

Beichen Su; MAS, 2018

Analysis of Existing Severity Scores and Development of New Models for Hospital Mortality Prediction

Lucy Marie Baden; MAS, 2018

Analysis of Large-Scale Genetic Perturbation with Linear Regression of Microarray and Bayesian Networks

Ruifu Jiang; MAS, 2018

Application of Recurrent Neural Networks In Toxic Comment Classification

Siyuan Li; MAS, 2018

California Wildfire Spread Prediction using FARSITE and the Comparison with the Actual Wildfire Maps using Statistical Methods

Yujia Hao; MAS, 2018

Classification with Hash Collision Networks

Christian Siyao Gao; MAS, 2018

Click Prediction with Machine Learning Tools

Fan Ding; MAS, 2018

Forecasting and Improving the Call Center Operations - Time Series approach and Queueing theory approach

Jixuan Li; MAS, 2018

Forecasting the Time Series of Apple Inc.’s Stock Price

Jordan Berninger; MAS, 2018

How to Identify Who Is the Chief Executive Officer in the Unconstructed Financial Reports - Use the Proxy Statements from Tesla as an Example

Yuan-Yi Chen; MAS, 2018

Imbalanced Binary Classification On Hospital Readmission Data With Missing Values

Hui Zhang; MAS, 2018

Prediction of Manufacturing Data using several machine learning approaches

Luxi Li; MAS, 2018

Stock Trend Prediction: Based on Machine Learning Methods

Yuan Song; MAS, 2018

The Use of Statistical Evidence in Litigation: A Historical Look at the Use of P-Values, Issues, and Considerations.

Jeremy John Guinta; MAS, 2018

Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records

Qin Peng; MAS, 2018

Understanding the Market Value and Utility of High-Variance Starting Pitchers

James Francis Lepore; MAS, 2018