Skip to Content

Skip to main content

Northwestern University

Parent Unit Name

Login

LIBRARIES | ARCH

Search audio or video

Menu

Login

Deposit Your Work
Browse
About
Help
Contact

Search

Search

Deposit Your Work
Browse
About
Help
Contact

Limit your search

Type

Work32

Resource type

Dissertation31
Report1

Creator

Besler, Emre1
Broad, Alexander Sherman1
Bruckner, Eric Paul1
Cambo, Scott Allen1
Camille Galles1
more Creators »

Keyword

Machine Learning[remove]32
Deep Learning5
Breast Cancer2
Electronic Health Records2
Natural Language Processing2
more Keywords »

Subject

Computer science8
Materials Science5
Bioinformatics4
Applied mathematics3
Artificial intelligence2
more Subjects »

Language

en25

Collection

BIBD1

Search Constraints

Start Over

Filtering by: 2021-01-01 Remove constraint 2021-01-01 Keyword Machine Learning Remove constraint Keyword: Machine Learning

« Previous | 1 - 10 of 32 | Next »

relevance
date uploaded ▼
date uploaded ▲
date modified ▼
date modified ▲

Number of results to display per page

10 per page
20 per page
50 per page
100 per page

View results as:

List Gallery Masonry Slideshow

Search Results

Topics in Machine Learning Optimization

Description:

Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...

Keyword:

Algorithm Design, Deep Learning, Optimization, and Machine Learning

Subject:

Applied mathematics and Operations research

Creator:

Fang, Biyi

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647
Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer

Description:

Mammalian transcriptional regulation is well-known to be complex and highly context dependent. Different genetic and epigenetic features, including single nucleotide polymorphisms (SNPs) that function as cis- or trans-expression quantitative trait loci (eQTLs), transcription factor (TF) interaction profile with cis-regulatory elements (CREs), methylation of CpG dinucleotide sequences, and histone modification that...

Keyword:

Bioinformatics, Transcriptomics, Gene regulation, Deep Learning, Machine Learning, and Drug discovery

Subject:

Bioinformatics, Genetics, and Oncology

Creator:

Ji, Yanrong

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/28/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_818497 and http://dissertations.umi.com/northwestern:15562
Understanding Control of the Shoulder after Stroke Towards Myoelectric Control of Vertical Support to Improve Reach

Description:

Stroke affects millions of people each year and although modern medicine has improved chances of survival after stroke, it has not yet been able to affect a change in repairing damaged neural tissue leaving one to two-thirds of survivors with chronic disability in their affected upper-extremity; specifically, hemiparesis, hypertonicity, loss...

Keyword:

Stroke, Pattern Recognition, Hemiparesis, Abnormal Synergy, Rehabilitation, and Machine Learning

Subject:

Robotics

Creator:

Kopke, Joseph

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/28/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15547 and etdadmin_upload_817626
Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts

Description:

Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...

Keyword:

human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning

Subject:

Information science, Artificial intelligence, and Computer science

Creator:

Cambo, Scott Allen

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/28/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510
Modeling Bacterial Infection Risk for Data-Driven Antibiotic De-Escalation in Critically Ill Adults

Description:

Bacterial infections (BI) are a frequent, expensive, and life-threatening condition for critically ill patients. For patients with serious BI, minimizing the time between admission to the intensive care unit (ICU) and administration of appropriate antibiotic therapy is crucial to improve prognosis. However, the current gold-standard for identifying the appropriate antimicrobials...

Keyword:

MIMIC, Antibiotic Stewardship, Clinical Prediction, Critical Care, Machine Learning, and Electronic Health Records

Subject:

Icelandic & Scandinavian literature and Bioinformatics

Creator:

Eickelberg, Garrett

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_999752 and http://dissertations.umi.com/northwestern:16645
Design of Tungsten-free, L12-strengthened Cobalt-based Superalloys

Description:

Recent developments have enabled L12-strengthened Co-based superalloys, which have thepotential to surpass Ni-based superalloys as the material of choice for the hottest sections of turbine blades due to cobalt’s 40 ºC higher melting point. The most-studied branch of Co-based superalloys are based on the L12 phase Co3(Al,W); however, there is...

Keyword:

Superalloys, Cobalt, Microstructure, Machine Learning, Creep, and High Entropy Alloys

Subject:

Materials Science

Creator:

Ohl, Brandon

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_971014 and http://dissertations.umi.com/northwestern:16450
Learning from Limited and Imperfect Data in Cyber-Physical System

Description:

Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...

Keyword:

Transfer Learning, Reinforcement Learning, Computer Vision, Building HVAC Control, Image Classification, and Machine Learning

Subject:

Computer engineering and Computer science

Creator:

Xu, Shichao

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_983783 and http://dissertations.umi.com/northwestern:16519
Digitization for Innovative Platform Design and Advertising

Description:

Technology that processes text, audio and video, as well as location data, has revolutionized many industries by enabling innovative operations for customer retention. To retain transactions for a platform and viewers for advertisers, this dissertation leverages novel digital tools to analyze consumer behavior, proposes original economic frameworks to guide platform...

Keyword:

Ad Avoidance, Multimedia Data, Platform, Geolocation, Machine Learning, and Disintermediation

Subject:

Marketing, Economics, and Information technology

Creator:

Xie, Yingkang

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16589 and etdadmin_upload_986414
Toward a Digital Twin of Metal Additive Manufacturing: Process Optimization and Control Enabled by Physics-based and Data-driven Models

Description:

In recent decades, metal additive manufacturing has seen rapid advancements, offering promising applications across various industries. However, addressing existing challenges in metal AM, such as process stability, defect avoidance, and quality control, is essential for fully exploiting its potential in fabricating parts with a desired geometry, as well as tailored...

Keyword:

Physics-based Model, Digital Twin, Data-driven Model, Machine Learning, and Additive Manufacturing

Subject:

Mechanical engineering

Creator:

Liao, Shuheng

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16572 and etdadmin_upload_985942
Designing Dynamic and Modular Biomolecules and Assays to Interrogate and Control Protein Fate

Description:

Cancer has long been the second-leading cause of death in the United States and represents the leading cause of death in midlife (age 40-60). While the prognosis for many cancers has vastly improved over the last thirty years, many cancers remain elusive due to the late-onset of symptoms, the specific...

Keyword:

Antibodies, Protein Switch, Cell Patterning, Machine Learning, and Breast Cancer

Subject:

Biomedical engineering

Creator:

Sykora, Daniel Joseph

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/16/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_936187 and http://dissertations.umi.com/northwestern:16305

« Previous
Next »
1
2
3
4

© 2024 Northwestern University
Contact Northwestern University
Careers
Disclaimer
Campus Emergency Information
University Policies

Address
University (Main) Library
1970 Campus Drive
Evanston, IL 60208

Phone number
(847) 491-7658

Email Address
digitalscholarship@northwestern.edu

Libraries Social Media

Facebook Twitter Instagram YouTube

Terms of Use
Support Us
Library Home
Library Jobs
Library Policies
Provide Feedback