CS 229 projects, Fall 2018 edition

Best Poster Award projects

Defending Against Adversarial Attacks on Facial Recognition Models

Theory & Reinforcement Learning

Michael Karr, Andrew Milich

Generating Target-oriented Regulatory Sequence

Life Sciences

Nic Fishman

All project posters and reports

The Bank is Open: AI in Sports Gambling

Athletics & Sensing Devices

Alexandre Bucquet, Vishnu Sarukkai

High Accuracy Flight State Identification of a Self-Sensing Wing via Machine Learning Approaches

Athletics & Sensing Devices

Zhe Huang, Cheng Liu, Hongyi Zhao

Classifying Human Activity Using Sensor Data

Athletics & Sensing Devices

Zachary Blum, Aristos Athens, Navjot Singh

Neural Network for Detecting Head Impacts from Kinematic Data

Athletics & Sensing Devices

Alissa Ling, Nicholas Gaudio, Michael Fanton

Predicting Metabolic Cost During Human-in-the-Loop Optimization

Athletics & Sensing Devices

Eley Ng, Erez Krimsky

Autonomous Computer Vision Based Human-Following Robot

Athletics & Sensing Devices

Akshay Gupta, Nick Gloria

Colatron: End-to-end speech synthesis

Audio & Music

Xiao Wang, Yahan Yang, Ye Li

HitPredict: Predicting Billboard Hits Using Spotify Data

Audio & Music

Nicholas Burton, Marcella Suta, Elena Georgieva

Generating music with Machine Learning

Audio & Music

David Kang, Simen Ringdahl, Jung Young Kim

Music Classification through CNN and Classical Algorithms

Audio & Music

Jialun Zhang, Siqi Xue

Latent Feature Extraction for Musical Genres

Audio & Music

Vrinda Vasavada, Woody Wang, Arjun Sawhney

Classifying Music by Genre

Audio & Music

Derek Huang, Eli Pugh, Arianna Serafini

Training a Playlist Curator Based on User Taste

Audio & Music

Amel Awadelkarim, Kevin Coelho

Investigation of bridge performance under various earthquakes with knowledge of machine learning

Civil Engineering

Ziyang Jiang, Xiao Zhang

Automated Identification of Gait Abnormalities

Computer Vision

Adam Gotlin, Apurva Pancholi, Umang Agarwal

Drawing: A New Way To Search

Computer Vision

Nguyet Minh Phu, Connie Xiao, Jervis Muindi

U-NoIT

Computer Vision

John Chuter, Manuel Nieves, Geoffrey Bakker

Classifying Adolescent Excessive Alcohol Drinkers from fMRI Data

Computer Vision

Yong-hun Kim, Cindy Liu, Joseph Noh

Structural Damage Recognition

Computer Vision

Minnie Ho, Jorge Troncoso

Comparison of Machine Learning Techniques for Artist Identification

Computer Vision

Andrew Deng, Jennie Chen

A Method for Removing Facial Features

Computer Vision

Boning Zheng, Meixian Zhu, Jing Bo Yang

Generative Neural Network Based Image Compression

Computer Vision

Emine Meltem Tolunay, Ahmad Ghalayini

Autonomous R/C Car Behavioral Cloning Optimization

Computer Vision

Joon Jung

Improving Robustness of Semantic Segmentation Models with Style Normalization

Computer Vision

Felix Wang, Evani Radiya-Dixit, Andrew Tierno

SongNet: Real-time Music Classification

Computer Vision

Yue Zhang, Chi Zhang, Chen Chen

Pneumonia Diagnosis Detection and Localization

Computer Vision

Mars Huang, Medi Monam, Emanuel Cortes

Airbus Ship Detection

Computer Vision

Ying Chen, Junwen Zheng, Zhengqing Zhou

Image-caption retrieval

Computer Vision

Giacomo Lamberti, Junyang Qian

Real-time Detailed Video Analysis of Fruit Flies

Computer Vision

Steven Herbst

Amazon Inventory Reconcilation using AI

Computer Vision

Nutchapol Dendumrongsup, Sravan Sripada, Pablo Bertorello

Deep Queue Learning: A Quest to Optimize Office Hours

Education

Avoy Datta, Dian Ang Yap, Zheng Yan

Lending Club P2P Loan Default Prediction

Finance & Commerce

Peiqian Li, Gao Han

A Proximity-Based Early Warning System for Gentrification in California

Finance & Commerce

Aakash Pattabi

Are stock investors "educated" in the right direction?

Finance & Commerce

Yilun Xu, Chris Wang, Qingyang Wang

Foreign Exchange Forecasting via Machine Learning

Finance & Commerce

Christian Gonzalez Rojas, Molly Herman

Kaggle Competition 2sigma - Using News to Predict Stock Movements

Finance & Commerce

Barthold Albrecht (bholdia), Yanzhuo Wang (yzw), Xiaofang Zhu (zhuxf)

Zestimate Bazinga

Finance & Commerce

Andrey Koch, Lucas Lemanowicz, Marina K Peremyslova

Machine Learning Prediction of Companies’ Business Success

Finance & Commerce

Chenchen Pan, Yuan Gao, Yuzi Luo

Predicting Foreign Exchange Arbitrage

Finance & Commerce

Amy Yixiao Wang, Stefan Johann Huber

A Machine Learning Approach to Assess Education Policies in Brazil

Finance & Commerce

Alexandre Simoes Gomes Junior

Airbnb Price Estimation

General Machine Learning

Liubov Nikolenko, Hoormazd Rezaei, Pouya Rezazadeh Kalehbasti

Quick, Draw! Doodle Recognition using Generative Learning Algorithms

General Machine Learning

Kristine Guo, James WoMa, Eric Xu

Analysis of Code Submissions in Competitive Programming Contests

General Machine Learning

Wenli Looi

Defending the First-Order: Using Reluplex to Verify the Adversarial Robustness of Neural Networks to White Box Attacks

Theory and Reinforcement Learning

Adam Pahlavan, Daniel Lee, Justin Rose

How real is real? Quantitative and Qualitative comparison of GANs and supervised-learning classifiers.

General Machine Learning

Jacqueline Yau, Riccardo Verzeni

Machine learning to deliver blood more reliably - The Iron man (drone) of Rwanda

General Machine Learning

Parikshit Deshpande, Abhishek Akkur

Using Census Data to Predict Solar Panel Density

General Machine Learning

Jeremy Chen, Eddie Sun, Brett Szalapski

Pump it or Leave it? A Water Resource Evaluation in Sub-Saharan Africa

General Machine Learning

Marios Galanis, Jacqueline Fortin Flefil, Vladimir Kozlow

FAD: Fairness through Adversarial Discrimination

General Machine Learning

Alexandra Henzinger, Justin Chen

Determining Education Success Factors

General Machine Learning

Manisha Basak, Zoe Pacalin, IpChun Chan

Classifying Spam using URLs

General Machine Learning

Di Ai

Predicting Conference Paper Acceptance

General Machine Learning

William Jen, Shichang Zhang, Munyu Chen

Epsilon : Auto-triaging JIRA

General Machine Learning

Yonatan Feleke, Ashok Poothiyot, Gurkanwal Brar

Discover LinkedIn Job Seeker's Commute Preference

General Machine Learning

Dianxia Yang

Sentiment Analysis for Amazon Reviews

General Machine Learning

Wanliang Tan, Xinyu Wang, Xinyu Xu

Analyzing the Spread of Fake News Across Networks

General Machine Learning

Neel Ramachandran, Meghana Rao, Anika Raghuvanshi

PUBG: A Guide To Free Chicken Dinner

General Machine Learning

Wenxin Wei, Yang Li, Xin Lu

Personalized Movie Recommendation System

General Machine Learning

Shujia Liang, Lily Liu, Tianyi Liu

Utilizing Latent Embeddings of Wikipedia Articles toPredict Poverty

General Machine Learning

Evan Sheehan, Chenlin Meng, Zaid Nabulsi

Hyperbolic Representation Learning for Real-World Networks

General Machine Learning

Manan Shah, Sagar Maheshwari

Tichu game outcome prediction

General Machine Learning

Hung-I Yang

The Disaggregated Energy Committee

General Machine Learning

Fred Lu, Samir Sen

Predicting Correctness of Protein Complex Binding Orientations

Life Sciences

Kaylie Zhu, Sarah Gurev, Nidhi Manoj

Isolating single cell types from co-culture flow cytometry experiments using automated n-dimensional gating for CAR T-based cancer immunotherapy

Life Sciences

Victor Tieu

Identifying Transcription Unit Structure from Rend Sequencing Data

Life Sciences

Travis Horst

Early Stage Cancer Detector: Identifying Future Lymphoma cases using Genomics Data

Life Sciences

Ayush Agrawal, Sai Anurag Modalavalasa, Sarah Egler

Large-scale Protein Atlas Compartmentalization Analysis

Life Sciences

Zijian Zhang, Wen Zhou, Kuangcong Liu

Predicting Protein Interactions of Intrinsically Disordered Protein Regions

Life Sciences

Benjamin Yeh

Res2Vec: Amino acid vector embeddings from 3d-protein structure

Life Sciences

Tyler Shimko, Scott Longwell

Predicting the Survivability of Breast Cancer Patients after Neoadjuvant Chemotherapy Using Machine Learning

Life Sciences

Linda Banh, Preston Ng, Robel Daniel

Machine Learning for Disease Progression

Life Sciences

Yong Deng, Xuxin Huang, Guanyang Wang

Predicting Gene Function Using SVMs and Bayesian Networks

Life Sciences

Laura Miron, Benoit Pit--Claudel

Painless Prognosis of Myasthenia Gravis using Machine Learning

Life Sciences

Abhishek Tapadar, Asherin Anto George

Classifying Treatment Effectiveness in Chronic Recurrent Multifocal Osteomyelitis from MRIs

Life Sciences

Anna Merkoulovitch, Zach Wener-Fligner

School-Specific Estimates of Returns to Increased Education Spending in Massachusetts

Life Sciences

Isaac Kasevich, Zane Kashner, Ethan Oro

Short Answer auto grader

Natural Language

Ashwin Agrawal, Pranjal Patil

Classification of News Dataset

Natural Language

Olga Fuks

Hybrid Distributional and Definitional Word Vectors

Natural Language

Ranjani Iyer, Haiyuan Mei

Text Complexity

Natural Language

Tyler Yep, Harry Sha

Food χ: Building a Recommendation System for Chinese Dishes

Natural Language

Yiting Ji, Yu Zeng, Yogi Huang

Attribute extraction from eCommerce product descriptions

Natural Language

Mikhail Sidorov

Fine-grained Sentiment Analysis User Reviews in Chinese

Natural Language

Suofei Feng, Eziz Durdyev

Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets

Natural Language

Peter Hansel, Nik Marda, William Yin

Machine Learning techniques in optimization of design of flexible circuits

Physical Sciences

Ren Gibbons, Prajwal.K.A

Early prediction of battery lifetime

Physical Sciences

Peter Attia, Marc Deetjen, Jeremy Witmer

A data-driven approach for predicting elastic properties of inorganic materials

Physical Sciences

Camila Cendra

AI for Scientific Discovery

Physical Sciences

Anthony Corso

Analyzing Wildfire Dynamics in Northern California

Physical Sciences

Caroline Famiglietti, Natan Holtzman, Jake Campolo

Learning a Low-Level Motor Controller for UAVs

Physical Sciences

Joseph Lorenzetti

Generation of thin-film optical devices with variational auto-encoding

Physical Sciences

John Roberts

Learning Chemistry, Moment by Moment

Physical Sciences

Allegra Latimer, Colin Dickens

Machine Learning for Materials Band Gap Prediction

Physical Sciences

Ilan Rosen, Jacob Marks

Bismuth Vanadate (111) facet detection

Physical Sciences

Zixi Liu, Wanling Liu, Jiyao Yuan

Reducing the ATHENA WFI background

Physical Sciences

Xuehao Ding

AI is the New Electricity

Physical Sciences

Shagun Goel, Kevin Hu

Clustering Reduced Order Models for Computational Fluid Dynamics

Physical Sciences

Gabriele Boncoraglio, Forest Fraser

Reconstructing porous media using generative adversarial networks

Physical Sciences

Kelly Guan, Timothy Anderson

Multi-Objective Autonomous Spacecraft Motion Planning around Near-Earth Asteroids using Machine Learning

Physical Sciences

Tommaso Guffanti

Appliance-level Residential Consumer Segmentation from Smart Meter Data

Physical Sciences

Lily Buechler, Zonghe Chua

Pulse Characterization from Raw Data for CDMS

Physical Sciences

Francesco Insulla, Chris Stanford

A generative model for computing electromagnetic field solutions

Physical Sciences

Ben Bartlett

Mood and Neurological Disorder Prediction using Head Movement Data during Virtual Reality Experience

Precision Mental Health

Cooper Raterink, John Hewitt, Sarah Ciresi

Re-Evolutionary Algorithms

Theory & Reinforcement Learning

Fatma Tlili , Kaushik Ram, Devang Agrawal

Applying deep Q learning/policy gradient to Lunar Lander and the stock market

Theory & Reinforcement Learning

Caitlin Stanton, Beite Zhu

Deep Cue Learning: A Reinforcement Learning Agent for Playing Pool

Theory & Reinforcement Learning

Peiyu Liao, Nick Landy, Noah Katz

Defending Against Adversarial Attacks on Facial Recognition Models

Theory & Reinforcement Learning

Michael Karr, Andrew Milich

Policy Optimization Methods in Reinforcement Learning

Theory & Reinforcement Learning

Jennifer She

Adversarial Models of Reality (AMoRe)

Theory & Reinforcement Learning

Eric Zelikman, Nathan Schager

Caesar's Taxi Prediction Service

Transportation

Paul Jolly, Varun Nambiar, Boxiao Pan

Applied Reinforcement Learning in Ads Bidding Optimization

Theory & Reinforcement Learning

Ying Chen

Product Categorization from Label Clustering

Finance

Alexandra Porter, Alexander Rickman, Alexander Friedman

Fraud detection using machine learning

General machine learning

Aditya Oza

Explore Co-clustering on Job Applications

General Machine Learning

Qingyun Wan

Predict optimized treatment for depression

Life Sciences

Minakshi Mukherjee, Suvasis Mukherjee

Where is the Chef From?

General Machine Learning

Manish Pandit, Hermann Qiu, Annie Pitkin

Uplift Modeling

Learning Customer Relationship Management

Rishabh Kumar, Akshay Kumar

End Mark Prediction?

Natural Language

Eric Martin, Jonathan Zwiebel

Generating Target-oriented Regulatory Sequence

Life Sciences

Nic Fishman