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Improving clinical decision making with natural language processing and machine learning
(Massachusetts Institute of Technology, 2017)
This thesis focused on two tasks of applying natural language processing (NLP) and machine learning to electronic health records (EHRs) to improve clinical decision making. The first task was to predict cardiac resynchronization ...
Enabling scalable multicolor connectomics through expansion microscopy
(Massachusetts Institute of Technology, 2017)
Decades of work in computational power and high resolution imaging have made it possible to observe specific neurons and their connections at a microscopic level. This level of resolution is known as the connectomic level. ...
Teacher tools for classroom learning partner
(Massachusetts Institute of Technology, 2014)
This thesis discusses improvements to the teacher user interface of a tablet-computer-based classroom interaction system called Classroom Learning Partner. The new interface elements allow teachers to more easily keep track ...
Cooperative learning in educational gaming
(Massachusetts Institute of Technology, 2013)
This thesis analyzes Herbo Hunt, an educational game that aims to teach variables to students. By assigning unknown point values to creatures that must be caught in groups, we subtly encourage students to solve mental ...
Visual datasets for artificial intelligence agents
(Massachusetts Institute of Technology, 2018)
In this thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is ...
A framework for real time passive data visualizations
(Massachusetts Institute of Technology, 2014)
In this thesis, I leveraged the openPDS and funf frameworks to design and implement a framework for visualizing and analyzing data collected passively from mobile devices. The framework integrates with the process of data ...
Building a computer poker agent with emphasis on opponent modeling
(Massachusetts Institute of Technology, 2012)
In this thesis, we present a computer agent for the game of no-limit Texas Hold'em Poker for two players. Poker is a partially observable, stochastic, multi-agent, sequential game. This combination of characteristics makes ...
Object discovery via layer disposal
(Massachusetts Institute of Technology, 2017)
A key limitation of semantic image segmentation approaches is that they require large amounts of densely labeled training data. In this thesis, we introduce a method to learn to segment images with unlabeled data. The ...
Efficient parallel processing and fault tolerance in a streaming join system
(Massachusetts Institute of Technology, 2018)
Stream joins are an important component of stream processing, as they provide an online mechanism to efficiently combine multiple streams of data. In this thesis, we consider the RiverJoin system, which presents a general ...
Integrating bottom-up and top-down information
(Massachusetts Institute of Technology, 2014)
In this thesis I present a framework for integrating bottom-up and top-down computer vision algorithms. I developed this framework, which I call the Map-Dictionary Pixel framework, because my intuition is that there is a ...