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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:
- 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:
- 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:
- 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
-
- Description:
- In this dissertation, we start with the dictionary learning (DL) based single-frame super-resolution (SR) problem, where low resolution (LR) input frames are super-resolved to high resolution (HR) output frames. We propose to extend the previous single-frame SR methods to multiple-frames, i.e., estimating single HR output frame by multiple LR input...
- Keyword:
- adaptive sampling, super resolution, inverse problem, image fusion, deep learning, and machine learning
- Subject:
- Electrical Engineering
- Creator:
- Qiqin Dai
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 10/26/2018
- Date Modified:
- 01/29/2019
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
-
- Description:
- The goal of this thesis is to design practical algorithms for nonlinear optimization in the case when the objective function is stochastic or nonsmooth. The thesis is divided into three chapters. Chapter 1 describes an active-set method for the minimization of an objective function that is structurally nonsmooth, viz., it...
- Keyword:
- machine learning, optimization, deep learning, Newton, nonsmooth, and quasi-Newton
- Subject:
- Industrial Engineering and Management Sciences
- Creator:
- Nitish Shirish Keskar
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 04/16/2018
- Date Modified:
- 04/16/2018
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation