CS 229 projects, Spring 2019 edition

Best Poster Award projects

GRE: Evaluating Computer Vision Models on Generalizablity Robustness and Extensibility

Computer Vision

Junwon Park

Building the Optimal Book Recommender and measuring the role of Book Covers in predicting user ratings

General Machine Learning

Alexander Yoffe, Cecile Loge

Motion Based Handwriting Recognition

Athletics & Sensing Devices

Kelly He, Kevin CHEN, Wanze Xie

All project posters and reports

Learning Adversarially Robust and Rich Image Transformation for Object Classification

Computer Vision

Nicholas Lai, Kimberly Alexis Te, Matthew Ang Tan

Predicting Style And Quality of Vinho Verde from its Physical Properties

Physical Sciences

Jonathan Elias Calles

Moving Object Removal in Unlabeled Image Databases

Computer Vision

Victor Chen, Daniel Marcos Mendoza, Yechao Zhang

Natural language Texts for Causal Inference in Randomized Experiments

Natural Language

Alex Xiaotong Gui

Probabilistic Matrix Factorization for Music Recommendation

General Machine Learning

Lu Liu

Unsupervised Recovery of Tree Metrics from Learned LanguageRepresentations

Natural Language

Benjamin Louis Newman

Steel Defect Detection with High Frequency Camera Images

Computer Vision

Xinrui Wang, Zhuoran Ma, Mengxi Li

Likelihood of a Work Visa Approval

General Machine Learning

Siddhartha Prakash, Hitesh Vyas

Stop and Scan the Trees: Tree Leaf Recognition with Transfer Learning

Computer Vision

Krishna Kartik Patel, Chris Allen Koenig

Classification of Insincere Questions on Quora

Natural Language

Jerry Chen, Hao Mao, Rekha Kumar

Predicting Yards Gained on NFL Handoff

Athletics & Sensing Devices

Bradley Stephen Barnhart, Travis McGuire, Dahlia Radif

Semantic Similarity Search

Natural Language

Josh Hedtke, Sergei Petrov

Application of Sentiment Analysis for Labelling Charaters Good or Evil

Natural Language

Ethan Robert Curtis, Masha Karelina, Felipe Kettlun

Integrity-Based Fault Detection for GNSS Navigation Safety

General Machine Learning

Siddharth Tanwar, Tara Yasmin Mina

Malicious Agent Classification In Multi-Agent Formation Control

General Machine Learning

William Chong

Natural Language

Nagarjuna Rao Venkata Sai Chakka, Michael Caine Lanier, Sibi Shanmugaraj

Machine Learning for predicting sediment particle size

Physical Sciences

Galen Charles Egan

Predicting Movie Ratings with Multimodal Data

General Machine Learning

Ruoyun Ma, Yichen Yang, Min Haeng Cho

Real-estate price prediction for King County region

Finance & Commerce

Bharat Chandramouli

News-oriented Stock Price Trend Prediction

Finance & Commerce

Xinwei He, Jiachen Ge, Zecheng Zhang

Vowel formants predict place of articulation of following consonant in Kannada: Evidence for the autosegmental theory of phonology

Audio & Music

Praveen Nareshkumar Pallegar

Machine Learning Based Pallets Detection and Tracking in AGVs

Computer Vision

Jie Xiang, James Han, Shengchang Zhang

Predicting the Response of Triple-Negative Breast Cancer Patients to Neoadjuvant Chemotherapy using Unstructured Text

Life Sciences

Bryan Sanghyuk Kim, Eric Tetsuo Matsumoto, Andrew Warren Sharp

ShipNet: A Fishing Vessel DatasetChallenges and Opportunities

General Machine Learning

Gregory John Weaver

Learning to play SLITHER.IO with deep reinforcement learning

Theory & Reinforcement Learning

Zhanpei Fang, Joan Creus-Costa

Using Neural Networks to Learn Quadruped Leg Models

General Machine Learning

Tarun Antony Punnoose

Predicting Ozone Nonattainment in US Counties with Supervised Learning

Physical Sciences

Max Sutton

Predicting Eruptive Events at Volcanoes from Earthquake Data

Physical Sciences

Ben Mullet, Ankush Singh, Ying Qi Wong

A Privacy Preserved Image-to-Image Translation Model in MRI: Distributed Learning of WGANs

Computer Vision

Tolga Ergen, Berivan Isik, Batu Mehmet Ozturkler

FacePaint: An Exploration of Localized Transfer on Facial Expressions

Computer Vision

Sasha Harrison, Frits van Paasschen

ProdKG: Embedding Knowledge Graphs into Product Spaces

General Machine Learning

Eric Scott Frankel, Tommy Yang, Dhruvik Parikh

Deep Faking Political Twitter using Transfer lersining and GPT2

Natural Language

Madeline Miranda Liao, Ryan Kazuo Ressmeyer, Sam Harris Masling

Continuous Control in Bearing-only Localization

Theory & Reinforcement Learning

Cedrick Mark Argueta

Predicting Weight Loss Using The MyFitnessPal Dataset

Athletics & Sensing Devices

William Locke, Marissa Rachel Lee, Nick Comly

Melbourne Airbnb Price Prediction

General Machine Learning

Han Wu, Tiancheng Cai, Kevin Han

Understanding Molecular Data using Graph Neural Networks

General Machine Learning

Suraj Menon

Barebones Music Generation

Audio & Music

Jacob Aaron Meisel, Ben Iver Rocklin

Deap Learning for ETF Price Prediction

Finance & Commerce

King San Chan, Mike Victor Hsieh, Yue Pan

NBA Game Predictions Based on Player Chemistry

General Machine Learning

Bai Yang Wang, Prastuti Singh

The Goldilocks Zone and Geometric Features of High-Dimensional Parameter Spaces

General Machine Learning

Jeffrey Chang

Tennis Match Predection using Machine Learning

Athletics & Sensing Devices

Ajay Krishna Amudan

Generative Modeling and Prediction of Spontaneous Epileptic Seizures

Computer Vision

Peter Herminio Maldonado, Christine Joy Liu, Keegan Mehall

How to Build a Recommender System

Audio & Music

Junhua Chen

TF-Finder: Predicting the Underlying Transcription Factors in Genomic Sequencing Data

Life Sciences

David Wei Wu, Diwakar Ganesan

Prioritized Experience Replay via Learnability Approximation

Theory & Reinforcement Learning

Megumi Sano, Nomi Ringach

Discovering Consumer Preferences from Choices

Finance & Commerce

Lewis Richard Warne

White Christmas: Remaking Augmented Reality Censorship from Black Mirror with Identity-Preserving Instance Segmentation

Computer Vision

Mario Baxter, Michael Yoomin Lee

Identification of Monolayer Material

Physical Sciences

Yue YU, Sze Cheung Lau, Jun Ho Son

Multi Class Text Sentiment Analysis

Natural Language

Alex Nam, Jihun Hong, Austin Song Cai

Smoothing Multi Stage Fine-Tuning in Multi-Task NLP Applications

Natural Language

Amirreza Ziai, Oleg Rudenko

Paper Citation Classification

Natural Language

Camilo Andres Saavedra, Sophia Liu, Chung Son Bui

Analysis and Classification of Symbolic Western Classical Music by Composer

Audio & Music

Tim Yngesjo, Saahil Jain, Akshay Smit

Context-based Flagging of Misclassified Objects in Aerial Imagery

Computer Vision

Yash Chandramouli, Caroline Natasha McKee, Paul Caron

Forecasting Wikipedia Page Views with Graph Embeddings

General Machine Learning

Anthony Miyaguchi, Nicolai Galeo Garcia, Shaon Chakrabarti

Music Generator

Audio & Music

Kelly Mawaba Ndombe

Predicting streetcar delays

General Machine Learning

Andrei Cheremukhin

Interpretable & Actionable Models Using Attribute & Uncertainty Information

Computer Vision

Olivia Hsu, Mikaela Angelina Chan Uy, Yew Siang Tang

Prediction of Future Offensive Performance of MLB Position Players

General Machine Learning

Derek Bryan McCreight, Stephanie Danielle Brito, Susana Benavidez, Peter Anthony McEvoy

Toxic Comment Detection and Classification

Natural Language

Prinslou Kipchumba Tare

Documentation Is All You Need

General Machine Learning

Felipe Bomfim Pinheiro de Meneses

Gender Classification of Diffusion-Weighted Brain Images via Convolutional Neural Network

Life Sciences

Martin Wilson Freeman, Chandra Rajyam, Spencer Paul Diehl

Link Failure Prediction and Localization in Cloud Scale Networks using Supervised Learning

General Machine Learning

Zahra Bakhtiari

Patch-based Classification on Low Resolution Images

Computer Vision

Xiaojun Sun, Tian Du, Wei Zhi Cheung

Compositional Event Detection Using Weak Supervision

Computer Vision

Sundararajan Renganathan, Aasavari Dhananjay Kakne, Mark Darryl Cramer

Utilizing color data in VoteNet for 3D Object Detection in Point Clouds

Computer Vision

Xue Dong

Gaining a Statistical Edge in Scorre Prediction using Machine Learning: Role of Meta Statistics in Match Prediction

Athletics & Sensing Devices

Varun Harbola, Kyuho Lee

What Defines a Good Stack Overflow Answer Post, an automated post rater

Natural Language

Yanpei Tian, Yanhao Jiang, Chunyue Wei

Benchmarking Graph Convolutional Networks Performance with Mixed-Product Space Embedding

General Machine Learning

James Li, Fangchen Li, Lingjue Xie

Recurrent Neural Physics Engine

General Machine Learning

Jinxiao Zhang, Jun Hwan (Joshua) Ryu

Tuning of an Aircraft Pitch PID Controller with Reinforcement Learning and Deep Neural Nets

Theory & Reinforcement Learning

ADYASHA DEBAHUTI MOHANTY, Emma Paulina Schneider

Regularization Paths for Stratified Cox's Porportional Hazards Model via Coordinate Descent

Life Sciences

Fang Cai

Fake Review Detection on Yelp

Natural Language

Ferhat Turker Celepcikay, Khaled Aounallah, Ganapathy Sankararaman

Audio Classification of Accelerating Vehicles

Audio & Music

Angel Yang, Emmett Daniel Goodman

Spread of Wildfire Pollutants in California

General Machine Learning

Courtney Noel Moran, Richard Li, Akwasi Sarpong Owusu-Akyaw

Prediction of Two Phase Flow Rate Through Wellhead Chokes in Oil Wells

Physical Sciences

TALAL SAAD AL SHAFLOOT, Negar Nazari

Combining Signal Transformation to Learning Models for Human Activity Recognition

Life Sciences

Dan Luo, Tianyi Li

Thank You Next: Using NLP Techniques to predict song skips on spotify based on sequential user and accoustic data

Audio & Music

Markie Maraya Wagner, Alex Joshua Hurtado, Surabhi Gopal Mundada

Automatic Lunar Crater Detection from Optical Images and Elevation Maps

Computer Vision

Hugo Kitano, Mara Rachel Finkelstein, Susanna Maria Baby

Machine Learning Techniques to Search for 2νββ decay of 136Xe to the excited state of 136Ba in EXO-200

Physical Sciences

George Halal

Receipe Rating Prediction

Natural Language

Sarah Hensley

Uncover The Factors To Help Measure How Young Children Learn

Athletics & Sensing Devices

Shenglan Yu

Bypassing Censorship

Natural Language

Siah Yong Tan, Christopher Glenn Laban Cross, Sasankh Munukutla

Improving LiDAR Point Cloud Classification of Urban Objects

Computer Vision

Peggy Wang, Tristan Ryan Gosakti

Using Reinforcement Learning to Optimize the Rules of a Board Game

Theory & Reinforcement Learning

Gwanggyu Sun

Exploring Feature Visualization: How Optimized Images Range Across Networks and Approaches

Life Sciences

Dawn Finzi

Exploration of Anomaly Detection through CCTV Cameras

Computer Vision

Sean Kazuyuki Decker, Wei Sheng Ler

Effects of Clinical Data in Skin Cancer Classification

Life Sciences

Monica Pan, Tom Young, Dezhen Kong

Predicting the Amount of Water Resources in Lake Tahoe

Life Sciences

Ayaka Abe

Subsurface Imaging using GANs

Physical Sciences

Rustam Akhmadiev

Ensemble Networks for Better Facial Recognition of Bearded Faces

Computer Vision

Amogh Dixit, Akash Singhal, Edward Benjamin Vendrow

Improving Neural Abstractive Summarization via Bert Score

Natural Language

Zhengping Zhou, Yuhui Zhang, Ruocheng Wang

Computer Vision Lip Reading

Audio & Music

Grace Valeria Tilton

Predicting Used Car Prices

General Machine Learning

Varun Uday Nayak, Pranav Vijay Gadre, KSHITIJ TUKARAM KUMBAR

Semi-supervised EM & Weak-Supervision in Anomaly Detection

Physical Sciences

Minakshi Mukherjee, Suvasis Mukherjee

"This Game Is In The Fridge": Predicting NBA Game Outcomes

Athletics & Sensing Devices

Jesse Alexander Rodriguez

Contextual program token predistion

Natural Language

Scott Scott Kovach

Predicting Cycling Performance From Historical Data

Athletics & Sensing Devices

Anna Revinskaya

Estimating Required Dosage of Warfarin

General Machine Learning

Fengjun Yang, Chee Ching Ong

Fine Grained Action Recognition in Sport Videos

Computer Vision

Amit Nagpal

Automatic Detection of Breaks and Fractures in X-Ray Bone Images

Life Sciences

Maurizio Valesani, Maithreyi Gopalakrishnan, Jaymee Sheng

Fooling Image Copy Detection Algorithms with GANs

Computer Vision

Anton Ponomarev

CNN Image Recognition Architecture Simplification using Patch-Based Data Reduction Techniques

Computer Vision

Jiying Zou, Rui Yan, Yuan Liu

Efficiently Satisfying Subgroup Fairness in Generalized Classification Settings

General Machine Learning

Fahim Tajwar, Matt Christiaan King

Wildfire Burn Area Prediction

Life Sciences

Adam Adam Stanford-Moore, Ben Karl Moore

Active Learning to Solve Class Imbalance in BirdSpecies Classification

General Machine Learning

Christian Alexander Gabor

Identifying Brain Activity from EEG Recordings

Athletics & Sensing Devices

Trenton Chang, Ray Iyer, Caroline Cin-kay Ho

Pub2vec: A Recommender System for Similar Publications via Citation Network Embeddings

General Machine Learning

Brian Kang Ryu

Quantum estimation of classifically intractable kernels for highly entangled feature maps

Physical Sciences

Connie Hsueh, Ziheng Cao, Irene Pu Zhang

Predicting Airbnb Listing Price Across Different Cities

Finance & Commerce

Xuanyu Zhou, Yuanhang Luo, Yulian Zhou

Corporate Bankruptcy Prediction

Finance & Commerce

Neha Abajirao Patil

Weak Supervision in the Age of Transfer Learning for Natural language Processing

Natural Language

Fei Fang, Zihan Xie

Predicting Future Performance of Convolutional Neural Networks in Early Training Stages

General Machine Learning

Chengzhe XU, Yunfeng Xin, Hangyi Zhao

A Machine Learning Based Yelp Recommendation System

General Machine Learning

Pranav Bhardwaj, Nicolas Olivier Bievre, Frederik Johan Mellbye

Money-laundering detection using machine learning with companies registers’ public data

Finance & Commerce

Francois Xavier Alain Henri Chesnay, Sebastian Hurubaru

Generating Whole Transcriptomic Profiles Using Compressed Sensing and Machine Learning

General Machine Learning

Dane Michael Hankamer, Andra Fehmiu, Kamal Obbad

Hyperbolic Graph Convolutional Neural Network for Link Prediction on Synthetic Graphs

General Machine Learning

Evan Laksono, Damir Vrabac

Machine learning to predict Reynolds stresses in transitional boundary layer fluid flow

Physical Sciences

Shaun Ransom Harris

The Dusk of Survey Dat and the Dawn of Aerial Imagery in Economics: Cost-efficient Housing Price Learning in the Developing World

General Machine Learning

Rodrigo Naumann, Matias Nicolas Cersosimo, Alexandr Lenk

Modeling Wine Quality from Physicochemical Properties

General Machine Learning

Dale Angus

Beyond Fuzzy Matching: Effective ways to transfer learning in NLP

Natural Language

Sruthi Poddutur

Assessing Perceptual Noice Level Defined by Human Calibration and Image Rulers

Computer Vision

Lisa Lei

Applying Machine Learning to Connect Four

Theory & Reinforcement Learning

Hormazd Nadir Godrej, Luke Kim, Chi Trung Nguyen

Forecasting the GBP/USD Exchange Rate in the Era of Brexit

Finance & Commerce

Alp Kutlualp

Weak Supervision with Incremental Source Accuracy Estimation

Theory & Reinforcement Learning

Richard Gresham Correro

Emoji Prediction from Sentence

Natural Language

Chen Huang, Xueying Xie, Boyu Zhang

Recovering Geometric Information with Learned Texture Perturbations

Computer Vision

Yongxu Jin

Neural Question Generation

Natural Language

Bilguunzaya Battogtokh, Daniel Khang Thieu Do

Audio Track Accompaniment

Audio & Music

Marion Lepert, Jerome Nowak

Material Synthesis Techniques from a Data-driven Perspective

Computer Vision

Qile Zhi, Yinchen Xu, Can Liu

% LMS: A stochastic gradient algorithm inspired by neurobiology

Theory & Reinforcement Learning

Stephane Remigereau, Jake Kaplan, Abhipray Sahoo

Youtune Video Prediction will This be popular?

Audio & Music

Yuping Li, Liqian Zhang, Kent Xin Kin Eng

Loanliness: Predicting Loan Repayment Ability by Using Machine Learning Methods

Finance & Commerce

Zihan Wang, Yiyun Liang, Xiaomeng Jin

Machine Learning Algorithms for Sourcing and Evaluating VC and PE investment deals

Finance & Commerce

Andrew Benjamin Matangaidze, Yijie Sun, Prerna Pankaj Khullar

Software error grouping with machine learning

General Machine Learning

Arpad Jozsef Tamasi

Theme Classification for texts Using Naive bayes and neural Networks

Natural Language

Remy Zawislak, Albin Larsson Forsberg

Motor temperature prediction with KNN and CNN

Physical Sciences

Ace Hu, Ran Le, Kaijun He

Physics-aware Neural Network Approach to Inverse Problems in Groundwater Contamination

Physical Sciences

Hannah Lu, Ziyan Wang

Applying Deep Reinforcement Learning to FiniteState Single Player Games

Theory & Reinforcement Learning

Donald Stephens

Predicting a Startup’s Acquisition Status

Finance & Commerce

Ivy Wang

An Efficient Algorithm for Robust Collaborative Learning

General Machine Learning

Mingda Qiao

Automating the Identification of Illegal Human Activities in the Amazon Rainforest

Computer Vision

XiaRui Charles Zhang, Jacky Lin, Anisha Goel

Compositionality Detection with Latent Dirichlet Allocation

Natural Language

Reuben Harry Cohn-Gordon

Speech to Text Translation Using Google Speech Commands

Audio & Music

Amita Chandrakant Patil, Hyung Lee

Tradeoffs Between Embeddings in Different Models of theHyperbolic Space

Theory & Reinforcement Learning

Eric Lou, Shawn Brian Zhang, Ishan Gaur

Investigating the Importance of SMEs in InfoSec Machine Learning Projects

General Machine Learning

Napoleon Cornel Paxton

Applying Machine Learning Algorithms to Predict UFC Fight Outcomes

Athletics & Sensing Devices

McKinley McQuaide

Kuzushiji Character Recognition & Classifying

Computer Vision

Nathan Lyndon Traxler, Anthony Tu Le

Finite Mixture Models: Beyond the EM Algorithm

Theory & Reinforcement Learning

Viktor Krapivin, Carlos Alberto Gomez Uribe, Grace Ann Woods

Improved Weak Gravitational Lensing Using Generative Adversarial Netowrks

Computer Vision

Amay Aggarwal, Andrew L Ying, Michel Dellepere

A Hybrid Approach to Recommending Recipes with Textual Information

General Machine Learning

Helena Huang, Yinghao Sun

Typeface Semantic Attribute Prediction from Rasterized Font Representations

General Machine Learning

Lucia Zheng, Julia Xiaozhe Gong, Suvir Prakash Mirchandani

A Bayesian Approach to Predicting Occupational Transitions

General Machine Learning

Lilia V Chang