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- Description:
- In 2009, the Health Information Technology for Economic and Clinical Health Act (HITECH) promoted national use of electronic health records (EHR) in the US by giving incentives to providers who adopt ‘meaningful use’ of EHRs. As of 2017, nearly 86% of office-based physicians had adopted EHRs. EHRs have rich information...
- Keyword:
- machine learning, deep learning, biomedical informatics, computational phenotyping, real world evidence data, and electronic health records
- Subject:
- Bioinformatics
- Creator:
- Deng, Yu
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_886066 and http://dissertations.umi.com/northwestern:15969
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- Description:
- Recent developments in deep learning have led to breakthroughs in rendering novel views from sparse input views of a scene.While the accuracy of these algorithms has improved dramatically, it has come at a huge computational cost. While developments in graphics hardware have ameliorated some of the computational burdens, deep learning-based...
- Keyword:
- Augmented Reality, novel view, view synthesis, and deep learning
- Subject:
- Computer engineering and Computer science
- Creator:
- Ghosh, Sushobhan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15657 and etdadmin_upload_834671
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- Description:
- The task of classification has been increasingly attracting attention from researchers in recent years. The objective is to assign labels given attributes of samples. The classification task is practical in real-world applications and is widely explored in fields such as computer vision, natural language processing and information retrieval. The recent...
- Keyword:
- classification, neural networks, machine learning, and deep learning
- Subject:
- Artificial intelligence
- Creator:
- Xu, Yiming
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_778963 and http://dissertations.umi.com/northwestern:15370
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- Description:
- Commonsense inference is a critical capability of modern artificial intelligence (AI) systems. The machines need commonsense knowledge to perform tasks exactly like human being does. Learning commonsense inference from text has been a long standing challenge in the field of natural language processing due to reporting bias -- people do...
- Keyword:
- commonsense inference, data augmentation, NLP, statistical modeling in text data, deep learning, and language modeling
- Subject:
- Computer science and Statistics
- Creator:
- Yang, Yiben
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_750023 and http://dissertations.umi.com/northwestern:15163
-
- Description:
- Deep learning is a new area of machine learning research that allows deep neural networks composed of multiple processing layers to learn representations of data with multiple levels of abstraction. Deep learning has helped in achieving the objective of pushing machine learning closer to one of its original goals of...
- Keyword:
- machine learning, artificial intelligence, deep learning, and deep neural networks
- Subject:
- Computer engineering
- Creator:
- Jha, Dipendra Kumar
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/28/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14960 and etdadmin_upload_711601
-
- Description:
- A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...
- Keyword:
- computer vision, compositional, visual recognition, and deep learning
- Subject:
- Computer science and Electrical engineering
- Creator:
- Tang, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14725 and etdadmin_upload_670616
-
- Description:
- Cardiac Magnetic Resonance (CMR) is a promising non-invasive imaging technique capable of assessing cardiovascular function and anatomy for both adult and pediatric patients without the need for ionization energy. Even with the stated benefits, CMR utilization in the clinic is low (~1-2%) due in large part to long acquisition time...
- Keyword:
- deep learning, compressed sensing, Cardiovascular MRI, real-time, free-breathing, and adult and pediatric
- Subject:
- Medical imaging
- Creator:
- Haji-valizadeh, Hassan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14782 and etdadmin_upload_682286
-
- Description:
- Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...
- Keyword:
- deep learning, definition modeling, neural language models, nonparametric Bayesian model, community detection, and statistical language models
- Subject:
- Artificial intelligence, Computer science, and Statistics
- Creator:
- Zhu, Ruimin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685529 and http://dissertations.umi.com/northwestern:14809
-
- Description:
- Image colorization is the process of artificially coloring a black and white image such that this fabrication appears realistic and authentic to the viewer. There are many nontrivial applications of this process, such as the colorization and augmentation of historical photos as well as the removal of color tone filters...
- Keyword:
- convolutional neural networks, computer vision, machine learning, image colorization, and deep learning
- Creator:
- Div Dasani
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 06/03/2019
- Date Modified:
- 06/03/2019
- Date Created:
- 3/23/2019
-
- Description:
- The ability of a machine to synthesize textual output in a form of human language is a long-standing goal in a field of artificial intelligence and has wide-range of applications such as spell correction, speech recognition, machine translation, abstractive summarization, etc. The statistical approach to enable such ability mainly involves...
- Keyword:
- language generation, dictionary definitions, natural language processing, deep learning, language modeling, and machine learning
- Subject:
- Electrical and Computer Engineering
- Creator:
- Thanapon Noraset
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 04/01/2019
- Date Modified:
- 04/01/2019
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation