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deep learning
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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:
- computational phenotyping, real world evidence data, machine learning, biomedical informatics, deep learning, 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:
- http://dissertations.umi.com/northwestern:15969 and etdadmin_upload_886066
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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, deep learning, novel view, and view synthesis
- 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:
- etdadmin_upload_834671 and http://dissertations.umi.com/northwestern:15657
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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:
- neural networks, classification, 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:
- http://dissertations.umi.com/northwestern:15370 and etdadmin_upload_778963
-
- 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:
- data augmentation, commonsense inference, statistical modeling in text data, NLP, deep learning, and language modeling
- Subject:
- Statistics and Computer science
- Creator:
- Yang, Yiben
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15163 and etdadmin_upload_750023
-
- 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:
- deep neural networks, machine learning, deep learning, and artificial intelligence
- 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:
- etdadmin_upload_711601 and http://dissertations.umi.com/northwestern:14960
-
- 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:
- visual recognition, deep learning, computer vision, and compositional
- Subject:
- Electrical engineering and Computer science
- Creator:
- Tang, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_670616 and http://dissertations.umi.com/northwestern:14725
-
- 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:
- definition modeling, statistical language models, deep learning, nonparametric Bayesian model, community detection, and neural language models
- Subject:
- Artificial intelligence, Statistics, and Computer science
- 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:
- 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:
- Cardiovascular MRI, compressed sensing, real-time, adult and pediatric, deep learning, and free-breathing
- 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:
- etdadmin_upload_682286 and http://dissertations.umi.com/northwestern:14782
-
- 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:
- machine learning, deep learning, image colorization, computer vision, and convolutional neural networks
- 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, machine learning, natural language processing, deep learning, dictionary definitions, and language modeling
- 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