MASDS Theses

Alzheimer’s Disease Classification from Resting-State Brain Imaging: A Comparison of Support Vector Machine and Transformer Approaches

Lucy Lennemann; MASDS, 2026

Depression Detection of Reddit Comments

Clayton Wai-Kai Chan; MASDS, 2026

Forecasting Apple Inc.’s Stock Price with Classical Time Series and Sentiment Analysis

Kathy Mo; MASDS, 2026

Identifying Deepfake Audio with Statistical and Deep Learning Methods

Derek Wen; MASDS, 2026

Modeling NBA Offensive Efficiency Through the Implementation of Markov Chains

Robert David Craig Jr.; MASDS, 2026

Spatial Modeling of the Los Angeles County Fires

Ashwin Ramaseshan; MASDS, 2026

Stochastic Discount Factors Implied by Machine Learning Forecasts of Equity Returns

Nils Berzins; MASDS, 2026

The Relationship Between California’s Wildfires and the Counties’ Bush Policies

Jiayi Liang; MASDS, 2026

A Spatiotemporal Analysis of Location Affordability and Job Accessibility in Los Angeles County, California

Juliana Phan; MASDS, 2025

An Investigation on Los Angeles County Shelter Animal Outcome Using Interpretable Neural Networks

Zhongheng Zhang; MASDS, 2025

An efficient learning-based multi-scale method for Food image classification

Jiran Ou; MASDS, 2025

Analyzing Semantic Understanding in Large Language Models through Embedding and Clustering Techniques

Yutong Chen; MASDS, 2025

Applications of unsupervised machine learning in classification: Detecting optimal clustering method for baby cry

Hongze Lyu; MASDS, 2025

Attack Behavior Detection of IoT Network Traffic Using Deep Learning and Neural Network

Zihao Chen; MASDS, 2025

Comparative Analysis of Machine Learning Models for Chronic Disease Prediction: A Multimodel Study On Diabetes, Hypertension, and Stroke

Jiaheng Wang; MASDS, 2025

Credit Card Fraud Detection Using Machine Learning Algorithms

Xingyu Feng; MASDS, 2025

Deep Learning for Electroencephalography (EEG) Signal Analysis in Cognitive Decline Studies

Smruthi Meesala; MASDS, 2025

Evaluating Machine Learning Approaches for Predicting Customer Conversion in Direct Marketing Campaigns: An Empirical Study Using the Bank Marketing Dataset

Kunze Wei; MASDS, 2025

Evaluating Machine Learning Models for Breast Cancer Survival Prediction Using Patient Demographics and Tumor Characteristics

Yuxin Zhang; MASDS, 2025

Forecasting Bitcoin Volatility: A Comparative Analysis of Statistical and Deep Learning Models

Xiaomeng Li; MASDS, 2025

Ideological Themes in Law: A Text Mining Analysis of Supreme Court Opinions

Shelden Koslicki; MASDS, 2025

Machine Learning Approaches for Customer Churn Prediction: Balancing Accuracy and Interpretability

Jack Chen; MASDS, 2025

Mortality Prediction in Heart Failure Using Machine Learning

Gaohong Chen; MASDS, 2025

Point Process Modeling of San Francisco Smash-and-Grabs

Kristine Phan Vo; MASDS, 2025

Predicting New York Times Bestselling Fiction Books Using Text & Image-Based Machine Learning

Anum Iqbal Damani; MASDS, 2025

Predicting the Cardiotoxicity of Pharmaceutical Candidates with Supervised Machine Learning

Isaac Forrest Schwarz; MASDS, 2025

Predictive Analytics for NFL Pick’em Contests: A Comparative Study of Gradient Boosting Models

Dan Wu; MASDS, 2025

Risk, Reward, and Correlation: Bitcoin and Traditional Assets in a Volatile Market Environment

Yi Huang; MASDS, 2025

SARSA(λ)-Based Reinforcement Learning Approach to Object Localization via SIFT in a Static Environment

Alexander Gunwhi Kim; MASDS, 2025

Sampling is All You Might Need

Yik Cheung Jeffrey Chan; MASDS, 2025

Statistical Calibration of a Compartmental Epidemic Model with Applications to the West Texas Measles Outbreak

Stephanie Jean Lao; MASDS, 2025

Testing for Causal Clustering in K-12 Student Discipline

Sean Mulherin; MASDS, 2025

Text Analysis of Debt Collection Lawsuit Misspellings in Hamilton County, Ohio and Connecticut

Cindy Ziyi Su; MASDS, 2025

Text Mining Judicial Dissent: A Computational Analysis of the California Supreme Court

Runlong Xu; MASDS, 2025

The Relationship Between Plant-Based Diets and Mental Health: Exploring Links to Depression, Anxiety, and Cognitive Function

Samantha Anne Wavell; MASDS, 2025

Transparent and Equitable Pay Structures: Using Machine Learning and SHAP Insights to Enhance Compensation Decision-Making

Yang Ong; MASDS, 2025

A Natural Language Processing and Deep Learning Approach to Topic Modeling and Sentiment Prediction of Singapore Airlines Reviews

Zihang Xin; MASDS, 2024

A Comparative Analysis of Fine-Tuned Llama 3-8B and DistilBERT for News Classification

Chenghao Sun; MASDS, 2024

Adversarial Privacy Auditing of Synthetically Generated Data produced by Large Language Models using the TAPAS Toolbox

Krishna Dave; MASDS, 2024

Analysis of Real Texas Holdem Hands and Discrimination of Skill vs. Luck

Jingyu Fu; MASDS, 2024

Analyzing the Dynamics of Wildfires: Causes, Patterns, and Predictive Modeling of Large and Small Fires in the United States

Zixuan Wang; MASDS, 2024

Brain Tumor Detection through Machine Learning Classification

Ling Long; MASDS, 2024

Comparative Analysis of Modeling Techniques for Fatal Car Accidents in Downtown Los Angeles: A Spatial Point Process Perspective

Paule Dargis; MASDS, 2024

Comparing Traditional Machine Learning and Large Language Models: An Application to Mental Health Text Classification

Zhangfeifan Yang; MASDS, 2024

Customer Churn Prediction In Banking Industries: Supervised Machine Learning Approach

Sujian Jiang; MASDS, 2024

Determinants of Returns in the US High Yield Bond Market from 2018 to 2023

Kanishka Malik; MASDS, 2024

Determining Best Sports Ranking Method with Machine Learning Techniques

Robert Castillo; MASDS, 2024

Determining the Accuracy of Consumer's Review to Guide Purchasing Decision through Sentiment Analysis

Amanda Leonarto; MAS, 2024

Enhanced Road Object Detection by Fine-Tuning You Only Look Once Version 8 (YOLOv8)

Huarui Xie; MASDS, 2024

Enhancing MRI-Based Alzheimer's Diagnosis: Leveraging Synthetic Data from Generative Models to Improve Image Classification Performance

Daniel Kwon; MAS, 2024

Enhancing Predictive Analytics in Diabetes Management: A Comparative Analysis of Linear and Non-linear Modeling Techniques with SHAP Value Integration

Baiwei Lu; MASDS, 2024

Exchangeability revisited: an examination into the partial adjustment for confounding

Sammy Ou; MASDS, 2024

Fine-Tune Whisper and Transformer Large Language Model for Meeting Summarization

Fei Ge; MASDS, 2024

Fitting Multivariate Hawkes Models to COVID-19 Data from All 50 States in the United States

Wanling Gong; MASDS, 2024

Forecasting the Outcomes of Professional Tennis Matches

Noah Read; MASDS, 2024

Fraud Detection in Vehicle Insurance Claims using Machine Learning

Ziyang Zhang; MASDS, 2024

GNNs Nodes Classcification of Recommendation Franchisee Location

Hao Zheng; MASDS, 2024

Goal-Oriented Forecasting: Predicting Soccer Match Outcomes with Deep Learning

Sheng Chen; MASDS, 2024

Identifying the Orientation of Medical Images in the Veterinarian Field Using Computer Vision

Yoonho Kim; MASDS, 2024

Income Prediction Using Machine Learning Techniques

Kahyun Jo; MASDS, 2024

Inner Group Privilege: Understanding Underrepresentation in STEM

Gizella Wade; MAS, 2024

Latent Diffusion Energy-based Model for Graph Generation

Jingbang Chen; MASDS, 2024

Lightweight Adaptation of Large Language Models for Toxicity Detection in Low-Resource Languages

Mariano Aloiso; MAS, 2024

Modeling COVID-19 Spread in Taipei Using the Hawkes Point Process Model: A Spatial-Temporal Analysis

Hao Ting Yen; MASDS, 2024

Performing Text Mining on the Series of Rememberance of Earth's Past by Liu Cixin

Naiyu Niu; MASDS, 2024

Personality-Driven Sentiment: Linking Myers-Briggs Type Indicator (MBTI) Types to Emotional Expression on Social Media

Yuchen Luo; MASDS, 2024

Predicting Hypertension with Add Health Dataset using Machine Learning Models

Zihan Fan; MASDS, 2024

Predicting Titanic Survival Rates: A Comparison of AdaBoost, XGBoost, and Random Forest

Tongchangyu Wu; MASDS, 2024

Predicting and Recommending of Student Career Aspirations Using Machine Learning Models

Lefan Zhang; MASDS, 2024

Predicting the Selling Prices of Used Cars in Pakistan Using Various Statistical Learning Models

Yulin Song; MASDS, 2024

Predictive Analytics in Finance A Machine Learning Approach to Bond Market Trends

Hao Qiu; MASDS, 2024

Quantification of Luck and Skill in Poker Via Simulations and Expected Value Computation

Mingzhe Xu; MASDS, 2024

Racial Bias in Machine Learning Algorithms in Secondary Mathematics Education

Suyeon Hwang; MASDS, 2024

Remuneration and social equity - Can the minimum wage promote common prosperity in China?

Yuchen Lai; MASDS, 2024

School Shootings: A Geostatistical Analysis

Valeria Monserrat Lopez Robles; MASDS, 2024

The 2021 San Francisco Giants: A Deep Dive Into One of Major League Baseball's Most Overperforming Teams

Philip Carey; MASDS, 2024

Time Series Analysis and Forecasting of Monthly Coffeemaker Search Interest

William Wang; MASDS, 2024

Using Machine Learning to Aid Second Language Acquisition

Maryam Akbar; MASDS, 2024

Variational Bayesian Inference Algorithm for Hidden Markov Diagnostic Classification Models with a Logistic Regression Emissions Model and without a Design Matrix

James Tang; MASDS, 2024

A Comparison of Classifcation Models for Identifying Cancerous Breast Tissue

Alexa Saldana; MAS, 2023

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

Active Learning for Object Detection on Website Pages

Anders Ward; MAS, 2023

Building an Options Portfolio with Deep Learning

Dylan Kinach Jorling; MAS, 2023

Comparison of Kernel Functions and Parameter Selection of SVM Classification Algorithms

Linying Pan; MASDS, 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

Forecasting of California Market Electricity Prices

Gurami KAVRELISHVILI; MASDS, 2023

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

Duoduo Ying; MAS, 2023

Neural Style Transfer An Examination of Style Retention

Dominique McDonald-Rogers; 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

Semantic Cinema: Exploring NLP Applications to Recommender Systems

Omar Moore; MAS, 2023

Statistical Analysis and Predictive Modeling in Basketball: Unveiling Key Variables for Championship Success

Garvyn Jay Shua; MASDS, 2023

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

Seungyeon Lee; MAS, 2023

Synthetic Data Generation for Fraud Detection

Jonathan Shan; MASDS, 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