* Fall 2014
This year projects:
- Richard Addo, Cristian Caraballo, Hanna Kim: How Helpful is This Amazon Review?
- Rawan Alghofaili: Depth Estimation from a Single Image Using a Deep Neural Network
- Saaid Arshad, Tae Ho Kim: Predict Ocean Health, One Plankton at a Time
- Joshua Cook, Byoungwook Jang, Aditya Mahara: Deadline Prediction
- Brian Doolittle, Pratap Luitel: Music Rating Prediction
- Jason Feng, Naho Kitade, Matt Ritter: Restaurant Successes and Failures
- Jennifer Franks, Mavra Nasir, Jeffrey Thompson: Identifying Gene Expression Patterns Associated with Increased Survival Time Across Cancers
- Yondon Fu, Matt Marcus, Shuo Zheng: Loan Approval and Quality Prediction in the Lending Club Marketplace
- Vivian Hu, David Wu, Barry Chen: Predicting Congressional Bill Outcomes
- Yuan Jiang, Harry Qi: Yelp Business Recommendation
- Yunfeng Jiang, Jinzheng Sha, Zhao Tian: Your Job Role Determines Your Access Privileges
- Kelsey Justis, Graeson McMahon, Coralie Phanord: Course Median Prediction via Syllabi Analysis
- Minsoo Kim, Nishant Kumar: Predicting Stress from Android Sensor Data
- Michael Lau, Binjie Li, Beitong Zhang: Personalized Song Recommender System
- Joy Zhong, Will Zhou: Predicting Success of Literary Fiction