Overview

CS229 is a graduate-level introduction to machine learning and pattern recognition. Students engage in a quarter-long project of their choosing. Projects range from developing novel machine learning algorithms to applying machine learning to current research and industry problems. The list of projects below shows the amazing range of problems for which machine learning can improve performance. We encourage you to come see the posters and discuss with students how machine learning can impact your areas of interest.

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Projects

A Facebook Profile-Based TV Recommender System. Jeff David, Samir Bajaj, Cherif Jazra.

A Flexible System for Hand Gesture Recognition. Matt Vitelli, Dominic Becker, Laza Upatising.

A New Rival To Predator And ALIEN. Martin Raison, Botao Hu.

A prediction tool for BestBuy to rank product links the visitor will be most interested in based on search query. Hao Tang, Govardana Sachithanandam Ramachandran.

A Risky Proposal: Designing a Risk Game Playing Agent. Juan Lozano, Dane Bratz.

A Supervised Learning Method for Seismic Data Quality Control. Travis Addair.

A Wind Power Forecasting Problem. Behnam Montazeri Najafabadi, Gaurav Kapoor, Robert J. Yates.

Accelerating Neuronal Genetic Research in C. elegans with Computer Vision & Machine Learning. Roshni Cooper.

Acoustic Detection: Identifying Train Events. Shannon McKenna, David McLaren.

Action Recognition in Tennis. Rajbir Kataria, Aman Sikka.

An application of machine learning to the board game pentago. Lilli Oetting, Greg Heon.

Analysis for Association between Genomic Information and Survival Rate of Glioblastoma Multiforme. Yingying Bi, Weiruo Zhang, Jieying Luo.

Analyzing and Predicting Tags to Build an Error-Resistant Music Recommendation System. Elmer Le, Quentin Moy, Jerry Zhou.

Analyzing CS 229 Projects. Michael Chang, Ethan Saeta.

Applying machine learning algorithms to oil reservoir production optimization. Mehrdad Gharib Shirangi.

Applying Reinforcement Learning to Competitive Tetris. Max Bodoia, Arjun Puranik.

Assigning B cell Maturity in Leukemia. Gabi Fragiadakis, Jamie Irvine.

Association of enhancers and genes they regulate. Yunxiao Zhang.

Author Identification on Twitter. Antonio Castro, Joshua Brian Lindauer.

Authorship Identification of Movie Reviews. Raghav Ramesh, Neeraj Pradhan, Rachana Gogate.

Automated analysis of calcium imaging data. Helen Horan Yang.

Automated detection and repair of visual distortion in data graphics. Alex Kindel.

Automated Essay Grading Using Machine Learning. Manvi Mahana, Mishel Johns, Ashwin Apte.

Automated hand recognition as a human-computer interface. Sergii Shelpuk.

Automated Segmentation of Breast Density. Rebecca Sawyer.

Automated Stock Trading Using Machine Learning Algorithms. Tianxin Dai, Arpan Shah, Hongxia Zhong.

Automated Transcription of Guitar Music. Carl-Fredrik Arndt, Lewis Li.

Automatic detection and cropping of dipoles in large area SQUID magnetometry scans of individual nano magnets.. Lisa Qian.

Automatic Detection of Dark Matter via Weak Gravitational Lensing. Thomas Colvin, Francisco Capristan.

Automatic Tag Generation for Music Files. Anthony Mainero, Omar Diab, Reid Watson.

Beer recommendation engine. Robert Wilson.

Bestbuy Recommendation System. Anubhav Dewan, Nikhil Rajendra, Mehmet Can Colakoglu.

Biomedical Research Topics Trends. Yu-chen Tuan.

Breast Cancer Prognosis. JJ Liu, Catherine Lu.

Broadcast news story boundary detection using visual, audio and text features. Maryam Daneshi, Matt Yu.

Cancerous Tissue Classication Using Microarray and RNASeq Gene Expression. Pei-Chun Chen, Yuling Liu, Victoria Popic.

Characterizing Dark Matter Concentrations Through Magnitude Distortions due to Gravitational Lensing. Andre Menck.

City Clustering from Craigslist Posts. Charles Johnson, Michael Kim.

Classification of Honest and Deceitful Memory Using fMRI Data. Tyler Boyd-Meredith.

Classification of Induction Signals for the EXO-200 Double Beta Decay Experiment. Kevin Shin, Jason Chaves.

Classifying applications based on API consumption. Arne Roomann-Kurrik.

Classifying Chess Positions. Chris De Sa.

Classifying Investment Styles. Terence Lim.

Classifying the subjective: Can music genres be reliably determined from lyrics?. Ahmed Bou-Rabee , Keegan Go, Karanveer Mohan.

Clustering by topological methods. Michael Lindsey.

Combatting Click Fraud. Corey Stein.

Composer Identification of Digital Audio Modeling Content Specific Features Through Markov Models.. Aric Bartle.

Creating a Texas Hold'Em Bot. Arjun Kumar.

Crowd-Sourced Computer Background Database and Suggestion Application. Peter Melick.

Crystal Ball through the Lens of Facebook . Justin Li, Yangluo Jim Wang.

Dark Matter Detection. Paul Covington, Daniel Frank, Alexander Ioannidis.

Deep cross-modal learning between word and image features. Milind Ganjoo.

Deep Learning for Time Series Analysis: An Application to Wireless Interference Segmentation and Prediction. Sameep Tandon, Sandeep Chinchali.

Deep Learning for Time Series Modelling. Enzo Busseti, Ian Osband, Scott Wong.

Deep Time Series Prediction. David Seetapun.

Deep Understanding of Financial Knowledge through Unsupervised Learning. Chang Su, Wenjia Xu, Liangliang Zhang.

Defect classification for semiconductor process characterization. Chu-En Chang.

Detecting Absorption of Solar Radiation By Clouds with Satellite Imagery Processing. Leon Zhu, Changyeon Jo.

Detecting Bad Wikipedia Edits. Brett Kuprel.

Detecting Dark Matter Halos. Sam Beder, Brie Bunge, Adriana Diakite.

Detecting Peer-to-Peer Insults. Jiyan Yang, Fayadhoi Ibrahima, Bertrand Decoster.

Detecting vandalisms in Wikipedia edits. Mudit Jain, Murugan Ayyappan, Nikhil Agarwal.

Detecting Wikipedia Vandalism. Tony Jin, Lynnelle Ye, Hanzhi Zhu.

Detection of Myers-Briggs Type Indicator via Text Based Computer-Mediated Communication. Dan Brinks, Hugh White.

Determining Behavior of Bid-Ask Prices Following Liquidity Shocks. Jia-Han Chiam, Chuanqi Shen.

Developing Fingerprints to Computationally Define Functional Brain. Vanessa Sochat.

Dining Scene Recognition Using Related Object Detection . Chaohao Wang, Gilbert Fu, Alan Quach.

Discovering Elite Users In Question and Answering Communities. Royce Cheng-Yue, Richard Hsu, Nicholas Stevens.

Distinguishing Opinion From News. Katherine Busch.

E-Commerce Product Categorization. Srinivas Gottipati, Mumtaz Vauhkonen.

Earthquake Waveform Recognition. Olivia Grubert, Bridget Vuong.

Electronic Devices Products Sales Prediction Using Social Media Sentiment Analysis. Parnian Zarghamravanbakhsh, Sahar Nassirpour, Reza Nasiri Mahalati.

Email AutoSort. Antonin Bas, Clément Mennesson.

Email Multi-Classification. Liwei Wang, Li Du.

Emote-Cat. Zahan Malkani, Evelyn Gillie.

Employer Health Insurance Premium Prediction. Elliott Lui.

Estimating Convergence Probability. Sofia Izmailov, Fang Liu.

etcML: A Web Platform for Text Classification. Julius Cheng.

EV Charging. Kyle Anderson.

Evaluating Classified Ad Effectiveness. Lawrence Xing.

Evaluation of Credit Risk. Marland Sitt, Tony Wu.

Event Extraction Using Distant Supervision. Kevin Reschke.

Evolution of Movie Topics over Time. Cong Meng, Mian Zhang, Wenqiong Guo.

Expected wind turbine load estimation based on the wind field joint pdf constructed using the mixture Gaussian-EM algorithm. Jinkyoo Park.

Extracting Vocal Sources From Master Audio Recordings. Derek Anthony Mendez Jr, Chris Young, Tarun Pondicherry.

Facial Key-Points Detection Using Machine Learning. Piyush Sharma, Amandeep Singh.

Family History Detection from Clinical Text. Srinivasan Iyer.

Fast and Low-power OCR for the Blind. Frank Liu.

Financial Market Time Series Prediction with Recurrent Neural Networks. Armando Bernal, Sam Fok, Rohit Pidaparthi.

Future Option Price Prediction. Abraham Adam.

Good Cell, Bad Cell: Classification of Segmented Images for Suitable Quantification and Analysis. Derek Macklin, Haisam Islam, Jonathan Lu.

Handwritten Character Recognition in Ancient Manuscripts. Peter Kajenski.

How a Bill Becomes a Law - Predicting Votes from Legislation Text. David Goldblatt, Tyler O'Neil.

How We Build. Micah Arvey.

How well do people learn?. Bertrand Schneider, Yuanyuan Pao.

Human Activity Recognition in Videos. Vignesh Ramanathan, Ankur Sarin, Rishabh Goel.

iDec: Real-time eye state classification via web cam. Miguel Picallo, Heerad Farkhoor, Thomas von der Ohe.

Identification and Compensation for Corrupt Sensor Data in Robotic Grasping. Habiya Beg, Paul Karplus, Hannah Stuart.

Identifying and Classifying Objects in Line Scan Images of a Street View Scene. Christine Cheng, Mengyuan Guo, Samuel Yang.

Identifying Breast Cancer Gene Signatures with Feature Selection. Gustavo Empinotti, Susan Tu, Raf Mertens.

Identifying Dark Matter Halos. Matt Anderson, Phil Chen, Dustin Janatpour.

Identifying External Vulerability. Zhao Liu.

Identifying Important Communications. Aaron Jaffey, Akifumi Kobashi.

Identifying Low-Quality YouTube Comments. Alex Trytko, Steve Young.

Image denoising via local linear embedding. Alex Mihlin.

Imaggle Project - 3D Human Modelling. Katherine Chen, Yoo-Yoo Hsiu Yeh, Fuad Al-Amin.

Improving miRNA Target Prediction. Collin Melton.

Incorporating Global Information into Local Upscaling of Fluid Flow in Porous Media. Kasama Itthisawatpan, Perth (Pu) Charernwattanagul.

Incorporating Semantic Information into Image Classifiers. Osbert Bastani, Hamsa Sridhar.

Intelligent Technology for Innovation in Urban Disasters Project Proposal. Joe Fan, Adam Lazrus, Anand Ravulapalli.

Interpolating images using non-linear dimensionality reduction. Sammy Et Ghazzal, Sébastien Robaszkiewicz.

Investigating Song Classification and Playlist Generation. Alex Cope, Caleb Jordan.

K-Means Clustering of States in Dual-Beam Optical Trap Assays. Chao Liu.

Kaldi Speech Recognition Toolkit With Neural Network Acoustic Model. Christopher Edmonds, Shi Hu, David Mandle.

Kicked Car Prediction. Albert Ho, Robert Romano, Alice Wu.

Kinect gesture recognition. Justin Huang, Chun-Wei Lee, Junji Ma.

Kinect Gesture Recognition for Interactive System. Hao Zhang, Wenxiao Du, Haoran Li.

Large-Scale Topic Modeling using LDA with Feedback Mechanism. Alireza Bagheri Garakani.

Lasso in Categorical Data. Yunjin Choi, Rina Park, Michael Seo.

Learning Analytics for Learning to Program. Engin Bumbacher, Alfredo Sandes, Daniel Greene.

Learning and Modeling Singer Error for QbH. Nicholas McGee, Johan Ismael.

Learning Descriptors for Shape Mapping. Charlie David Camp, Andy Nguyen.

Learning Inverses. Jacob Taylor, Ashwin Siripurapu.

Learning Keyboard. Jonathan Ellithorpe, Pearl Tan.

Learning Static Parameters. Bharath Ramsundar.

Learning to Decode Cognitive States of Rat using Functional Magnetic Resonance Imaging Time Series. Jingyuan Chen, Eun Soo Choi.

Learning to Detect Information Outbreaks in Social Networks. Jiayuan Ma, Xincheng Zhang.

Learning to Play 2D Video Games. Justin Johnson, Mike Roberts.

Learning to Predict Flight Delay. Lei Sun.

Learning to Recognize Objects in Images. Matthew Zahr, Huimin Li.

Machine Learning an American Pastime. Nikhil Bhargava, Andy Fang, Peter Tseng.

Machine Learning and Capri, a Commuter Incentive Program. Hossein Karkeh Abadi, Jia Shuo Tom Yue.

Machine learning application on detecting nudity in images. Yong Lin, Yujun Wu.

Machine Learning Applied to Human Brain - Machine Interfaces. George Schorpp, Gerald Brantner.

Machine Learning for Melody Generation. Joseph Victor.

Machine Learning for Speech Separation. Luke Allen, Sammy Nammari, Ravi Palanki.

Magic: The Gathering Deck Performance Prediction. Roger Hau, Evan Plotkin, Hung Tran.

Making a Better Feature Extractor. Aaditya Shidham.

Malicious URL Detection. Christophe Chong, Daniel Liu.

Maximizing Return on Direct Marketing Campaigns in Commercial Banking. Alexandra Onosova.

Measuring Music Similarity. Thomas Bridges-Lyman.

Million Song Dataset Challenge. Fengxuan Niu, Ming Yin, Cathy Tianjiao Zhang.

MindMouse. Andrew Robbins.

Modeling Reynolds Stresses using Machine Learning. Julia Ling.

Movie rating estimation and recommendation. Zhouxiao Bao, Haiying Xia.

Movie Trailer Project. Edmund Helmer, Qinghui Ji.

MR Fingerprinting Based Segmentation. Eric Gibbons, Kalina Jordanova, Tiffany Jou.

Multi Agent Learning in Simulated Bot-War. Francois Chaubard, Nikolaus West.

Music Genre Predictor. Michael Garland, Daniel Bardenstein.

Music Preference Prediction. Metehan Dizioglu, Rolando J Vicaria.

Music Recommender System Based on User Preference Features. Xiaoye Liu, Tianye Lu, Jing Xiong.

Musical Style Replication. Janice Lan, Armon Saied.

Negative News No More. Karianne Bergen, Leilani Gilpin.

Non-homogenous Swarm Resource Gathering. Michael Comstock.

Non-Stationary Covariance Models for Discontinuous Functions as Applied to Aircraft Design Problems. Trent Lukaczyk.

Observing Dark Worlds. Joel Li.

Observing Dark Worlds. Yu-Han Chou, William Chickering.

Observing Dark Worlds. Anubhav Singla, Nandan Sawant.

Observing Dark Worlds. Alvaro Aguilar, Sebastian Echegaray.

On and Off Pathways of Ganglion Cells in the Salamander Retina. Bongsoo Suh.

Online learning mean reversion algorithm analysis. Tung Hsu.

Optimal Vehicle to Grid Regulation Service Scheduling. Christian Osorio.

Optimal VTOL of SpaceX's Grasshopper. Brian Mahlstedt.

Order Flow Prediction. MK Li, Foon Wang Pong, Anthony Lai.

Parallel learning of content recommendations using map-reduce. Mike Percy.

Pedestrian Detection with Freak. Cameron Schaeffer.

Phishing Email Detection Using Neural Network. Ningxia Zhang, Yongqing Yuan.

POI Data modeling. Kashyap R. Puranik.

Predicting A Film’s Success At The Academy Awards. Stephen Barber, Kasey Le, Sean O'Donnell.

Predicting Acceptance of Github Pull Requests. Nikhil Khadke, Ming Han Teh, Minghan Shen.

Predicting Airfare Prices. Manolis Papadakis.

Predicting Anomalies In Neurological MRI Scans. Stephen Erlien, Victor Miller, Jeff Piersol.

Predicting Arm Movements in Virtual Environments. Howon Lee, Erik Brockbank, Jimmy Lee.

Predicting Bank Default in Economic Downturn. Sunyoung Baek, Caiyao Mai.

Predicting Client Outcomes in Bay Area Homeless Services. Aparna Ananthasubramaniam.

Predicting Congressional Bill Outcomes. Zach Cain, Pamela Chua, Kristian Gampong.

Predicting Country of Origin from Genetic Data. David Poznik.

Predicting Cycles in the Foreign Exchange Market. Inna Brodkin, Manuel R. López, Nicholas Shelly.

Predicting Epitopes for MHC Molecules. Shanshan Tuo, Xueheng Zhao.

Predicting Fantasy Football Performance with Machine Learning Techniques. Nitin Kapania.

Predicting Fantasy Football Results. Matt Bookman.

Predicting Flight Delays. Raj Bandyopadhyay, Rafael Guerrero-Platero.

Predicting Flight Delays. John Dieterich Lawson, Will Castillo.

Predicting floods and droughts in India. Amogh Vasekar, Paavni Rattan, Rishita Anubhai.

Predicting Future Energy Consumption.. Adrien Jacques Boiron, Stephane Lo, Antoine Marot.

Predicting IMDB Movie Ratings Using Google Trends. Deniz Demir, Olga Kapralova, Hongze Lai.

Predicting Microfinance Participation. Govind Manian, Karen Shen.

Predicting Movie and TV Preferences from Facebook Profiles. Anders Haponen, Johan Lindell.

Predicting NBA Player Performance. Kevin Wheeler.

Predicting Next Task. Mudit Goel.

Predicting NSF Award Money from Abstracts. Kyle Brogle, Sean Ma, Laura Stelzner.

Predicting Patients with Diabetes Type II from EHR Data. Xiaoran Zhang, Ruoyu Ding.

Predicting Popular Xbox games based on Search Queries of Users. Chinmoy Mandayam, Saahil Shenoy.

Predicting Reddit Post Popularity. Jordan Segall, Alex Zamoshchin.

Predicting retail website anomalies using Twitter data. Derek Farren.

Predicting School Performance in New York City for Grades Three through Eight. Sophia Westwood , Daniel Jackoway.

Predicting Success of NBA Players. Daniel Robbins, Suril Shah, Alex Cousland.

Predicting the Daily Liquidity of Corporate Bonds. Louis Ben Arous.

Predicting the Odds of Getting Retweeted. Arun Mahendra.

Predicting the Outcome of Baseball Games. Clint Riley.

Predicting the Popularity of Social News Posts. Scott Michelson, Joe Maguire.

Predicting the US Presidential Election using Twitter data. Swathi Chandrasekar, Emmanuel Charon, Alexandre Ginet.

Predicting Transcription Factor Binding. Zoey Zhou, Daniel Williams, Jon Tatum.

Predicting U.S. president election result based on Google Insights. Yunzhu Chen, Fan Zhang, Yuanxi Yue.

Predicting User Ratings Using Graphical Status Models on Amazon.com. Borui Wang, Guan (Bell) Wang, Vincent Yun Lou.

Predicting what Pitchers will throw. Andy Galdi.

Predicting Wine Prices from Wine Labels. Ruby Lee, Svetlana Lyalina, Jamie Ray.

Prediction of Compound Biological Activity Using Molecular Descriptors and/or Experimental Data. Steven Kearnes.

Prediction of High-Cost Hospital Patients. Jonathan Mortensen, Linda Szabo, Luke Yancy Jr..

Prediction Sentiment from Rotten Tomatoes Movie Reviews. Jean Wu, Desmond Ong.

Predictive Validity Of a Robotic-surgery Simulator. Anirudh Pasupuleti.

QWOP learning. Gustav Brodman, Ryan Voldstad.

Real-time reinforcement learning in traffic signal system. Tianshu Chu.

Recognizing Chatting Style. Rohan Puttagunta, Nick Wu, Renjie You.

Recommendation of TV shows and Movies based on Facebook data. Mathangi Venkatesan, Andy Mai.

Recommendation System for HCD Connect. Kesinee Ninsuwan, Mike Phulsuksombati, Umnouy Ponsukcharoen.

Recommendations for Reddit users. Avideh Taalimanesh, Mohammad Aleagha.

Recommending Movies and TV shows based on Facebook profile data. Benjamin Paterson, Weifang Zhang, Tim Mwangi.

Reconstructing Broadcasts on Trees. Douglas Stanford.

Reinforcement Learning to Play Mario. Yizheng Liao, Kun Yi, Zhe Yang.

Restaurant Recommendation for Facebook Users. Qiaosha Han, Vivian Lin, Wenqing Dai.

Road Network Reconstruction Based on Taxi GPS Data. Yilong Geng.

Road Sign Detection and Recognition. Jon "Jay" Hack, Siddhant Jagadish.

Sentiment Analysis of Users' Reviews and Comments. Abhijit Chakankar, Krishna Venuturimilli, Sanjukta Pal Mathur.

Separating Speech From Noise Challenge. Andrew Wallace , Kaushal Shrestha.

Separation of speech from noise challenge.. NagaChaitanya Vellanki.

Sequential Bayesian Partition for High Dimensional Data. Tung-Yu Wu.

Side Channel Cryptanalysis Using Machine Learning. Peter Zou, Josh Jaffe, Hera He.

Sign Recognition for Autonomous Driving. Thomas Dimson.

Signal of Pairs Trading. Yuxing (Joseph) Chen, Weiluo Ren, Xiaoxiong Lu.

Simultaneous coclustering and learning with dimension reduction. Harish Ganapathy.

Single-Channel Singing Voice Separation. Francois Germain.

Smart Music Rating Predictor. Scott Chao, Liqun Yang, Huang Song.

Spam Classification. Prasanta Chinara, Sudharsan Vasudevan.

Speaker Recognition Using Deep Belief Networks. Ashley Jin, Aman Neelappa, Alex Fandriato.

Speech And Noise Separation. Ceyhun Baris Akcay.

Stay Alert! The Ford Challenge. Louis Fourrier, Fabien Gaie, Thomas Rolf.

Stay Alert! The Ford Challenge. Allen Chen, Tayyab Tariq.

Stock Market Forecasting Using Machine Learning Algorithms. Haomiao Jiang, Shunrong Shen, Tongda Zhang.

Structural Encoding for Web Design. Maxine Lim, Arvind Satyanarayan, Cesar Torres.

Structural Health Monitoring Using Guided Ultrasonic Waves to Detect Damage in Composite Panels. Colleen Rosania.

Structure and Trends in a Selection of Academic Literature. Hannah Hironaka, Rahul Suri.

Stylometry for Online Forums. Kurt Barry, Katherine Luna.

Substance Abuse In Teens. Dylan Rhodes.

Taxi Driver Behavior Classification. Haochen Tang.

TB Treatment-Seeking Behavior. Sze Suen, Ruixue Guo.

Text Detection And Recognition in Natural Images. Steven Bell.

Text Mining to Detect Insults in Online Discussion. Ryan Foley, Ben Kasper, Robert Macnguyen.

That's Hot: Predicting Daily Temperature for Different Locations. Alborz Bejnood, Max Chang, Edward Zhu.

The Perfect IHUM Essay. Charles Guo, Andrew Moreland.

The Posterior Sampling Approach to Bayesian Multiarmed Bandit Problems with Dependent Arms. Daniel Russo.

The Quest for Dark Matter. Abhishek Sheshadri, Sreenath Krishnan, Pranav Pai.

Thumbnail Extraction From Slide-Based Instructional Videos. Jae Hyun Kim.

Titanic: Machine Learning from Disaster. Eric Lam, Chongxuan Tang.

Training Intelligent Stoplights. Thomas Davids, Luke Knepper, Michael Celentano.

Type 2 Diabetes Mellitus Classification. Ayush Sood, Shizhi Wang, Steven Diamond.

Understanding The Effectiveness Of Bank Direct Marketing. Tong Xia, Diana Lee, Tarun Gupta.

Understanding Wikipedia Link Evolution. Alex Bishara.

Unsupervised detection of bad cloud nodes. Arun Kejariwal.

User Review Rating Prediction. Sammy Leong, Ashish Bhatia.

Using Lyrics to Predict Musical Genres. Danny Diekroeger.

Using Shazam Tags for Music Recommendation. Hyung-Suk Kim.

Using Twitter Data to Predict Box Office Revenues. Devin Guillory, Chip Mandal, Pierre Barthelemy.

Using Twitter to Predict Voting Behavior. Mike Chrzanowski, Daniel Levick.

Verification and Classification of Law School Outlines. Arbi Tamrazian.

Voxel selection algorithms for fMRI. Henryk Blasinski.

Wafer Spatial Signature Analysis. Abhishek Singh, Wojtek Poppe.

When Machine Learning Meets AI and Game Theory. Anurag Agrawal, Deepak Jaiswal.

Who got style?: Learning to recognize literary styles. Konstantinos Balafas, Simon Calvet.

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