CS 229 projects, Spring 2019 edition

Listen to Your Data: Turning Chemical Dynamics Simulations into Music

Audio / Speech / Music

Austin Atsango, Soren Holm, K. Grace Johnson

[report] [poster]

Generating Song Covers in Different Styles

Audio / Speech / Music

Ben Heller, Abraham Ryzhik, Zarah Tesfai

[report] [poster]

Music Genre Classification: Near-realtime VS Sequential Approach

Audio / Speech / Music

Scott Zhang, Huaping Gu, Rongbin Li

[report] [poster]

KKBox’s Music Recommendation

Audio / Speech / Music

Yunru Huang, Mengyu Li, Yun Wu

[report] [poster]

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

Audio / Speech / Music

Ernesto Evgeniy Sanches Shayda, Ilkyu Lee

[report] [poster]

Musical Instrument Identification with Supervised Learning

Audio / Speech / Music

Orchisama Das

[report] [poster]

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

Audio / Speech / Music

Erin M. Kunz

[report] [poster]

Relationship Prediction for Scene Graph Generation

Computer Vision

Aamnah Khalid

[report] [poster]

Predicting Genre from Movie Posters

Computer Vision

Gabriel Barney, Kris Kaya

[report] [poster]

Neural Style Transfer

Computer Vision

Jixun Ding, Fangze Liu, Wen Wang

[report] [poster]

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

Computer Vision

Nicholas Seay, Emma Spellman, Katie Lamb

[report] [poster]

StruX: Structural Damage Classification for Post-Disaster Recovery

Computer Vision

Tong Liu, Yitao Gao

[report] [poster]

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

Computer Vision

Austin Narcomey

[report] [poster]

Learning With High-Level Attributes

Computer Vision

Thao Nguyen

[report] [poster]

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

Computer Vision

Danny Takeuchi, Raymond Thai, Kevin Tran

[report] [poster]

Hierarchical Image Classification in CNNs

Computer Vision

Prashant Kumar

[report] [poster]

Automated Surf Reports from Image Data

Computer Vision

Stuart Cornuelle

[report] [poster]

Single Image Reflection Removal

Computer Vision

Jin Huang

[report] [poster]

Generating Video from Images

Computer Vision

Geoffrey Penington, Mae Teo, Chao Wang

[report] [poster]

Using Satellite Images to determine AQI Values in California

Computer Vision

Simon Bumm

[report] [poster]

Climate Classification Using Landscape Images

Computer Vision

Drake Johnson, Tim Ngo, Augusto Fernández

[report] [poster]

Machine Learning Techniques for Distracted Driver Detection

Computer Vision

Demeng Feng, Yumeng Yue

[report] [poster]

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

Finance and Commerce

Samaksh Goyal, Hari Sowrirajan, Teja Veeramacheneni

[report] [poster]

Two Machine Learning Approaches for Statistical Arbitrage Pairs Selection

Finance and Commerce

Brian Chan, Nhi Truong, Carina Zhang

[report] [poster]

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

Finance and Commerce

Rifath Rashid, Anton de Leon

[report] [poster]

Machine Learning in Intraday Stock Trading

Finance and Commerce

Art Paspanthong , Nick Tantivasadakarn, Will Vithayapalert

[report] [poster]

Optimizing LendingClub’s Financial Risk

Finance and Commerce

Rachel Ahn, Edward Xu, Michael Morrissey

[report] [poster]

Designing an Investment Portfolio for Public Companies in the Life Sciences

Finance and Commerce

Rosa Ma, Vandon Duong

[report] [poster]

Algorithmic Trading using LSTM-Models for Intraday Stock Predictions

Finance and Commerce

David Benjamin Lim, Justin Lundgren

[report] [poster]

Detecting Credit Card Fraud with Machine Learning

Finance and Commerce

Aaron Rosenbaum

[report] [poster]

Identifying Industries in Economic Networks

Finance and Commerce

Brian Reed

[report] [poster]

Foreign Currency Exchange Rate Forecast

Finance and Commerce

Jiequan Zhang, Jialu Sun, Jiahao Zhang

[report] [poster]

Machine Learning Methods for Causal Inference with Continuous Treatments

General Machine Learning

Eray Turkel

[report] [poster]

Determining Baseball Performance Quality with an Elo Rating

General Machine Learning

Mac Bagwell

[report] [poster]

Can you on-sight it?

General Machine Learning

Victor Zhang

[report] [poster]

Evaluating Current Machine Learning Techniques On Predicting Chaotic Systems

General Machine Learning

Sirapop Klinkachorn, Jupinder Parmar

[report] [poster]

Weekly Climate Indices: Generation and Prediction

General Machine Learning

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

[report] [poster]

Feature Selection for Predictive Models

General Machine Learning

Karthik Prakash

[report] [poster]

Predicting the Popularity of Reddit Posts

General Machine Learning

Ahmed Shuaibi

[report] [poster]

Modeling Student Learning in Mobile App with Machine Learning

General Machine Learning

Zhaolei (Henry) Shi

[report] [poster]

Satellite Anomaly Prediction using Survival Analysis and Machine Learning

General Machine Learning

Christopher Naughton

[report] [poster]

Predicting Goals Scored for Football Matches

General Machine Learning

Arish Dutt

[report] [poster]

Structure Type Classification Based on Tax Assessor Data

General Machine Learning

Yue (Major) Zeng

[report] [poster]

Typing Biometrics for User Authentication - a One-shot Approach

General Machine Learning

Josef Malmström, Hannes Lindström

[report] [poster]

M2Vec: MDP Embeddings through NLP

General Machine Learning

Ryan Tolsma, Drew Gregory, Kendrick Shen, Daniel Tan

[report] [poster]

Applying Machine Learning the Assessment of Problem-Solving Skills

General Machine Learning

Max Arseneault

[report] [poster]

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

General Machine Learning

Brian Do, Phillip Hoovestal, Max Sobol Mark

[report] [poster]

Reinforcement Learning for Flight Ticket Pricing

General Machine Learning

Niki Agrawal, Ramnik Arora

[report] [poster]

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

General Machine Learning

Raymond Gilmartin, Sean Roelofs

[report] [poster]

Experimenting With High Dimensional Vector Representations of Instagram Users

General Machine Learning

David Morales, Sumit Minocha

[report] [poster]

PetFinder Challenge: Predicting Pet Adoption Speed

General Machine Learning

Sherine Zhang, Kaylee Zhang

[report] [poster]

Predicting Coral Reef Regimes from Human and Natural Influences

Life Sciences

Tiffany Cheng, Austin Murphy, Sallie Walecka

[report] [poster]

Identification of Disease in Corn/Maize Based on Physiological Traits

Life Sciences

David Uvalle

[report] [poster]

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

Life Sciences

Kevin Erazo, Sameer Merchant, Rudra S. Bandhu

[report] [poster]

Predicting Risk of Breast Cancer Relapse from Copy Number

Life Sciences

Soumya Kundu, Jose A. Seoane, and Christina Curtis

[report] [poster]

LAS for Dysarthric Speech Recognition

Life Sciences

Jeremy Tate Campbell

[report] [poster]

Classifying Leukemia Using Logistic Regression and Lasso Regression

Life Sciences

Allan Li, Sarah Tran, Veronica Peng

[report] [poster]

OrgoNet: Organic Chemistry Reaction Prediction

Life Sciences

Ethan Chi, Bowen Jing, Emily Wen

[report] [poster]

Optimizing Precision Genome Editing through Machine Learning

Life Sciences

Shi-An A. Chen, Elizabeth Tran

[report] [poster]

Predicting the Severity of Adverse Drug Reactions

Life Sciences

Katherine Erdman, Neal Patel

[report] [poster]

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

Life Sciences

Hyung Jun Yang, Hong-Pyo Lee

[report] [poster]

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

Life Sciences

Gautam Machiraju, David Amar, Euan Ashley

[report] [poster]

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

Life Sciences

Hui Xue

[report] [poster]

Cardiovascular Disease Risk Prediction using EHRs

Life Sciences

Minh Nguyen

[report] [poster]

Toxic Comment Classification and Unintended Bias

NLP

Chady Ben Hamida, Victoria Ge, Nolan Miranda

[report] [poster]

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

NLP

Tatiana Wu, Tom Knowles

[report] [poster]

Toxic Comment Detection and Classification

NLP

Hao Li, Weiquan Mao, Hanyuan Liu

[report] [poster]

A BERT based model for Multiple-Choice Reading Comprehension

NLP

Kegang Xu, Jingjie Tin, Jungyoun Kim

[report] [poster]

Distractor Re-ranking For Automatic Quiz Generation

NLP

Girish Kumar, Andrew Wang

[report] [poster]

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

NLP

Jack Cable, Grant Hugh

[report] [poster]

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

NLP

Leo Mehr

[report] [poster]

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

NLP

Snehasish Mukherjee

[report] [poster]

Text Summarization for Biomedical Domain Content

NLP

Karen Ouyang

[report] [poster]

Building Unbiased Comment Toxicity Classification Model with Natural Language Processing

NLP

Louise Qianying Huang, Mi Jeremy Yu

[report] [poster]

Classifying Tweets Based on Climate Change Stance

NLP

Chuma Kabaghe, Jason Qin

[report] [poster]

Unsupervised Natural Language Generation for Task-Oriented Dialogue System

NLP

Dian Huang

[report] [poster]

ReAcclimate: The New Climate Change Lexicon

NLP

Rui Aguiar, Anthony Carrington, Harold Wang

[report] [poster]

Popular Truth

NLP

Michael Sun

[report] [poster]

Autograder: Classifying Documents to Grade School Level

NLP

Kiley Yeakel, Stephanie Tzeng

[report] [poster]

Collision Avoidance for Urban Air Mobility Vehicles using Markov Decision Processes

Physical Sciences

Sydney M. Katz

[report] [poster]

Predicting Phase of Simulated Molecules Using Radial Structural Functions

Physical Sciences

Heejung Chung

[report] [poster]

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

[report] [poster]

Predicting Microculture Results for Optimized Antibiotic Treatment

Physical Sciences

Conor K. Corbin

[report] [poster]

Mesh Sampling for Finite Element Method

Physical Sciences

Wanli He

[report] [poster]

Predicting Solar Power Generation from Weather Data

Physical Sciences

Alex Kim, Dane Stocks

[report] [poster]

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

Physical Sciences

Michael Cai, Michael Cooper, Jennie Yang

[report] [poster]

Quixote: A NetHack Reinforcement Learning Framework and Agent

Reinforcement Learning

Chandler Watson

[report] [poster]

Controlling Two-Wheels Self Balancing Robot Using Q-Learning

Reinforcement Learning

Hasan Unlu

[report] [poster]

Estimating Object Inertia Properties for Trajectory Control

Reinforcement Learning

Aamir Rasheed

[report] [poster]

Transfer Learning with Random Network Distillation Theory & Reinforcement Learning

Reinforcement Learning

Mustafa Omer Gul

[report] [poster]

Making Medical Image Reconstruction Adversarially Robust

Theory

Adva Wolf

[report] [poster]