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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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End-to-end Fine-grained Traceability Analysis in Model Transformations and Transformation Chains
DownloadFall 2017
Over the last few decades, model-driven code generation has been the flagship paradigm used to promote adoption of model-driven engineering among the general software-engineering community. Model-driven code generators integrate model-to-model and model-to-text transformations to build...
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Enhancements to Reconstruction Techniques in Computed Tomography Using High Performance Computing
DownloadFall 2012
Computers have been used in diagnostic imaging for decades, but High-Performance Computing (HPC) in diagnostic imaging is rather rare because of the high cost associated with traditional HPC. Recent advancements in shared memory computers and the large market for commodity graphic cards have...
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Fall 2011
Cloud computing has emerged as a popular mechanism for deploying services and running applications. A key feature of many cloud environments is the use of virtual machines (VMs) as the unit of resource allocation. Multiple virtual machines running the same application may be co-located on a...
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Fall 2011
Data is growing at an unforeseen rate, with TBs being generated daily. A large part of this data is unstructured in nature. This has pushed the traditional techniques of storing it in relational databases to its limit and new alternatives are necessary. Cloud databases have emerged as a viable...
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Fall 2016
Accurate information is the foundation of correct clinical diagnoses. Physicians are increasingly relying on new devices and tools to improve the quality of information used in their decision making. Wrong, misleading, or hard to interpret data can prevent patients from receiving proper...
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Ensembling Diverse Policies Improves Generalization of Deep Reinforcement Learning Algorithms to Environmental Changes in Continuous Control Tasks
DownloadFall 2023
Deep Reinforcement Learning (DRL) algorithms have shown great success in solving continuous control tasks. However, they often struggle to generalize to changes in the environment. Although retraining may help policies adapt to changes, it may be quite costly in some environments. Ensemble...