CS 229 projects, Spring 2019 edition

Best Poster Award projects

Uncertainty in Deep Learning-Based Compressive MR Image Recovery

Computer Vision

Vineet Edupuganti

Clustering Phenomena in Dropout

Theory

David Kewei Lin, Jensen Jinhui Wang, Phil Chen

All project posters and reports

Listen to Your Data: Turning Chemical Dynamics Simulations into Music

Audio / Speech / Music

Austin Atsango, Soren Holm, K. Grace Johnson

Generating Song Covers in Different Styles

Audio / Speech / Music

Ben Heller, Abraham Ryzhik, Zarah Tesfai

Music Genre Classification: Near-realtime VS Sequential Approach

Audio / Speech / Music

Scott Zhang, Huaping Gu, Rongbin Li

KKBox’s Music Recommendation

Audio / Speech / Music

Yunru Huang, Mengyu Li, Yun Wu

Grand Digital Piano: Multimodal Transfer of Learning of Sound and Touch

Audio / Speech / Music

Ernesto Evgeniy Sanches Shayda, Ilkyu Lee

Musical Instrument Identification with Supervised Learning

Audio / Speech / Music

Orchisama Das

Heart Disease Prediction Using Adaptive Network-Based Fuzzy Inference System (ANFIS)

Audio / Speech / Music

Erin M. Kunz

Relationship Prediction for Scene Graph Generation

Computer Vision

Aamnah Khalid

Predicting Genre from Movie Posters

Computer Vision

Gabriel Barney, Kris Kaya

Neural Style Transfer

Computer Vision

Jixun Ding, Fangze Liu, Wen Wang

Eye Spy: Are saccadic eye movements triggered by frame content?

Computer Vision

Nicholas Seay, Emma Spellman, Katie Lamb

StruX: Structural Damage Classification for Post-Disaster Recovery

Computer Vision

Tong Liu, Yitao Gao

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction

Computer Vision

Austin Narcomey

Learning With High-Level Attributes

Computer Vision

Thao Nguyen

Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses

Computer Vision

Danny Takeuchi, Raymond Thai, Kevin Tran

Hierarchical Image Classification in CNNs

Computer Vision

Prashant Kumar

Automated Surf Reports from Image Data

Computer Vision

Stuart Cornuelle

Single Image Reflection Removal

Computer Vision

Jin Huang

Generating Video from Images

Computer Vision

Geoffrey Penington, Mae Teo, Chao Wang

Using Satellite Images to determine AQI Values in California

Computer Vision

Simon Bumm

Climate Classification Using Landscape Images

Computer Vision

Drake Johnson, Tim Ngo, Augusto Fernández

Machine Learning Techniques for Distracted Driver Detection

Computer Vision

Demeng Feng, Yumeng Yue

Machine Learning for Statistical Arbitrage: Using News Media to Predict Currency Exchange Rates

Finance and Commerce

Samaksh Goyal, Hari Sowrirajan, Teja Veeramacheneni

Two Machine Learning Approaches for Statistical Arbitrage Pairs Selection

Finance and Commerce

Brian Chan, Nhi Truong, Carina Zhang

Making Trading Great Again: Trump-based Stock Predictions via doc2vec Embeddings

Finance and Commerce

Rifath Rashid, Anton de Leon

Machine Learning in Intraday Stock Trading

Finance and Commerce

Art Paspanthong , Nick Tantivasadakarn, Will Vithayapalert

Optimizing LendingClub’s Financial Risk

Finance and Commerce

Rachel Ahn, Edward Xu, Michael Morrissey

Designing an Investment Portfolio for Public Companies in the Life Sciences

Finance and Commerce

Rosa Ma, Vandon Duong

Algorithmic Trading using LSTM-Models for Intraday Stock Predictions

Finance and Commerce

David Benjamin Lim, Justin Lundgren

Detecting Credit Card Fraud with Machine Learning

Finance and Commerce

Aaron Rosenbaum

Identifying Industries in Economic Networks

Finance and Commerce

Brian Reed

Foreign Currency Exchange Rate Forecast

Finance and Commerce

Jiequan Zhang, Jialu Sun, Jiahao Zhang

Machine Learning Methods for Causal Inference with Continuous Treatments

General Machine Learning

Eray Turkel

Determining Baseball Performance Quality with an Elo Rating

General Machine Learning

Mac Bagwell

Can you on-sight it?

General Machine Learning

Victor Zhang

Evaluating Current Machine Learning Techniques On Predicting Chaotic Systems

General Machine Learning

Sirapop Klinkachorn, Jupinder Parmar

Weekly Climate Indices: Generation and Prediction

General Machine Learning

Javier Echevarría Cuesta, J.K. Hunt, James Schull

Feature Selection for Predictive Models

General Machine Learning

Karthik Prakash

Predicting the Popularity of Reddit Posts

General Machine Learning

Ahmed Shuaibi

Modeling Student Learning in Mobile App with Machine Learning

General Machine Learning

Zhaolei (Henry) Shi

Satellite Anomaly Prediction using Survival Analysis and Machine Learning

General Machine Learning

Christopher Naughton

Predicting Goals Scored for Football Matches

General Machine Learning

Arish Dutt

Structure Type Classification Based on Tax Assessor Data

General Machine Learning

Yue (Major) Zeng

Typing Biometrics for User Authentication - a One-shot Approach

General Machine Learning

Josef Malmström, Hannes Lindström

M2Vec: MDP Embeddings through NLP

General Machine Learning

Ryan Tolsma, Drew Gregory, Kendrick Shen, Daniel Tan

Applying Machine Learning the Assessment of Problem-Solving Skills

General Machine Learning

Max Arseneault

Achieving Machine Reasoning for Math Problems Through Step-By-Step Supervision Signal

General Machine Learning

Brian Do, Phillip Hoovestal, Max Sobol Mark

Reinforcement Learning for Flight Ticket Pricing

General Machine Learning

Niki Agrawal, Ramnik Arora

Active Polling: Improving Presidential Election Predictions by Targeting Polls with Active Learning

General Machine Learning

Raymond Gilmartin, Sean Roelofs

Experimenting With High Dimensional Vector Representations of Instagram Users

General Machine Learning

David Morales, Sumit Minocha

PetFinder Challenge: Predicting Pet Adoption Speed

General Machine Learning

Sherine Zhang, Kaylee Zhang

Predicting Coral Reef Regimes from Human and Natural Influences

Life Sciences

Tiffany Cheng, Austin Murphy, Sallie Walecka

Identification of Disease in Corn/Maize Based on Physiological Traits

Life Sciences

David Uvalle

Combining Multi-Omics Data to Predict Overall Survival of Breast Cancer Patients

Life Sciences

Kevin Erazo, Sameer Merchant, Rudra S. Bandhu

Predicting Risk of Breast Cancer Relapse from Copy Number

Life Sciences

Soumya Kundu, Jose A. Seoane, and Christina Curtis

LAS for Dysarthric Speech Recognition

Life Sciences

Jeremy Tate Campbell

Classifying Leukemia Using Logistic Regression and Lasso Regression

Life Sciences

Allan Li, Sarah Tran, Veronica Peng

OrgoNet: Organic Chemistry Reaction Prediction

Life Sciences

Ethan Chi, Bowen Jing, Emily Wen

Optimizing Precision Genome Editing through Machine Learning

Life Sciences

Shi-An A. Chen, Elizabeth Tran

Predicting the Severity of Adverse Drug Reactions

Life Sciences

Katherine Erdman, Neal Patel

Gene Selection to Predict the Cancer Type from Genome-scale CRISPR–Cas9 Screens

Life Sciences

Hyung Jun Yang, Hong-Pyo Lee

Multi-omics Factorization Illustrates the Added Value of Deep Learning Approaches

Life Sciences

Gautam Machiraju, David Amar, Euan Ashley

Deep Learning Based Myocardial Segmentation for Free-Breathing RealTime Cine MRI: Augmentation from Breath-Hold Scans

Life Sciences

Hui Xue

Cardiovascular Disease Risk Prediction using EHRs

Life Sciences

Minh Nguyen

Toxic Comment Classification and Unintended Bias

NLP

Chady Ben Hamida, Victoria Ge, Nolan Miranda

Just One Shot of Wine? Developing Siamese LSTM Models for Sentence Similarity

NLP

Tatiana Wu, Tom Knowles

Toxic Comment Detection and Classification

NLP

Hao Li, Weiquan Mao, Hanyuan Liu

A BERT based model for Multiple-Choice Reading Comprehension

NLP

Kegang Xu, Jingjie Tin, Jungyoun Kim

Distractor Re-ranking For Automatic Quiz Generation

NLP

Girish Kumar, Andrew Wang

Bots in the Net: Applying Machine Learning to Identify Social Media Trolls

NLP

Jack Cable, Grant Hugh

Recruiting @ Stanford -- Is There Free Food? & Generate that Subject Line

NLP

Leo Mehr

Automatic Response Generation for Conversational e-Commerce Agents: A Reinforcement Learning Based Approach to Entertainment in NLG

NLP

Snehasish Mukherjee

Text Summarization for Biomedical Domain Content

NLP

Karen Ouyang

Tag Prediction from Stack Overflow Questions

NLP

Jalal Buckley, Kevin Fuhs, Reid M. Whitaker

Building Unbiased Comment Toxicity Classification Model with Natural Language Processing

NLP

Louise Qianying Huang, Mi Jeremy Yu

Classifying Tweets Based on Climate Change Stance

NLP

Chuma Kabaghe, Jason Qin

Unsupervised Natural Language Generation for Task-Oriented Dialogue System

NLP

Dian Huang

ReAcclimate: The New Climate Change Lexicon

NLP

Rui Aguiar, Anthony Carrington, Harold Wang

Popular Truth

NLP

Michael Sun

Autograder: Classifying Documents to Grade School Level

NLP

Kiley Yeakel, Stephanie Tzeng

Collision Avoidance for Urban Air Mobility Vehicles using Markov Decision Processes

Physical Sciences

Sydney M. Katz

Predicting Phase of Simulated Molecules Using Radial Structural Functions

Physical Sciences

Heejung Chung

Machine Learning on Biochemical Small Datasets: Strategies for Pursuing Predictive Analyses of Human Voltage Gated Sodium Ion Channel (hNaVs) Inhibitors

Physical Sciences

JC Liang, Jay Liu, Vamsi Varanasi

Predicting Microculture Results for Optimized Antibiotic Treatment

Physical Sciences

Conor K. Corbin

Mesh Sampling for Finite Element Method

Physical Sciences

Wanli He

Predicting Solar Power Generation from Weather Data

Physical Sciences

Alex Kim, Dane Stocks

“A Billion-Dollar Material”: Predicting Emittance of Photocathode Materials

Physical Sciences

Michael Cai, Michael Cooper, Jennie Yang

Quixote: A NetHack Reinforcement Learning Framework and Agent

Reinforcement Learning

Chandler Watson

Controlling Two-Wheels Self Balancing Robot Using Q-Learning

Reinforcement Learning

Hasan Unlu

Estimating Object Inertia Properties for Trajectory Control

Reinforcement Learning

Aamir Rasheed

Transfer Learning with Random Network Distillation Theory & Reinforcement Learning

Reinforcement Learning

Mustafa Omer Gul

Making Medical Image Reconstruction Adversarially Robust

Theory

Adva Wolf