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Work23

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Dissertation19
Masters Thesis1

Creator

Altan, Ege1
Azcona, Emanuel Aquiles1
Chopp, Henry Hayashi1
Deng, Yu1
Div Dasani1
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Keyword

machine learning[remove]23
deep learning7
artificial intelligence2
data science2
image processing2
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Subject

Computer science4
Artificial intelligence3
Bioinformatics3
Biology2
Mechanical engineering2
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Language

en15

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Data Science Masters Theses1
Undergraduate Research and Arts Expo1

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Financial Services Landscape Discovery with Machine Learning: Augmenting a Financial Markets Ontology Using Structural Topic Modeling

Description:

With a glut of competing priorities, the financial industry faces major challenges in extracting timely, relevant, and specifically-focused information from text. Without clear-cut business cases, making the investment in text analysis methods does not justify the return on investment. Furthermore, the business landscape continues to become increasingly complex, and at...

Keyword:

knowledge graphs, LDA, ontologies, topic modeling, text analytics, and machine learning

Subject:

Data Science

Creator:

Troy Danka

Owner:

Scholarly Digital Publishing

Date Uploaded:

11/21/2019

Date Modified:

12/17/2019

Date Created:

2019

Resource Type:

Masters Thesis
Deep Learning Methodologies for Scientific Knowledge Discovery

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
Combining Finite Element with Data Analytical Approaches for Structure-Property Modeling in Polymer Nanocomposites

Description:

Polymer nanocomposites have attracted great interest in recent years because of their potential as tailored materials with enhanced properties. Recent experiments have shown that polymer nanocomposites are able to achieve significant improvement in dielectrical, thermal, mechanical and other physical properties compared with their parent polymer systems. More importantly, these outstanding...

Keyword:

polymer nanocomposite, simulation, machine learning, optimization, database, and data mining

Subject:

Mechanical engineering

Creator:

Wang, Yixing

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_685582 and http://dissertations.umi.com/northwestern:14811
Data-Driven Strategies for Optimization of Human Megakaryocyte Differentiation

Description:

Platelets are circulating anucleate discs derived from megakaryocytes, and play major roles in hemostasis, inflammation, thrombosis, and vascular biology. Multi-phase culture systems for inducing in vitro platelet production from mature megakaryocytes have been explored to allow progenitor expansion, megakaryocyte maturation, and promotion of platelet formation and shedding. In this thesis,...

Keyword:

gaussian mixture models, stem cell differentiation, machine learning, and megakaryocyte

Subject:

Bioengineering, Bioinformatics, and Biology

Creator:

WU, JIA JIE

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_640286 and http://dissertations.umi.com/northwestern:14541
Discovering Regulatory Insights from Gene Expression Dynamics

Description:

Cells are complex, autonomous machines that integrate many environmental cues to execute a desired response. Though this property makes cells versatile, it presents significant design challenges when, to treat diseases, we must alter cellular responses. To understand changes to the complex regulatory pathways that cause diseases, studies often investigate the...

Keyword:

systems biology, machine learning, dynamics, regulation, and differential gene expression

Subject:

Bioinformatics and Biology

Creator:

Finkle, Justin

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:14568 and etdadmin_upload_656753
Image Colorization with Convolutional Neural Networks

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
Deciphering the Geometry of Primary Motor Cortical Manifolds: Observations from Naturalistic Movements and Implications for Intracortical Brain-Computer Interfaces

Description:

Each neuron in the primary motor cortex (M1) is like a musician in an orchestra, contributing to a larger harmony under the constraint of a “neural manifold”—a geometric score describing the correlated signals produced by the neural musicians that drive movement. Despite the widespread recognition of the importance of M1...

Keyword:

neural networks, neural manifolds, motor control, machine learning, and brain-computer interface

Subject:

Biomedical engineering and Neurosciences

Creator:

Altan, Ege

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_1001502 and http://dissertations.umi.com/northwestern:16658
On Adaptive Time-Constrained Macro X-Ray Fluorescence Scanning and Analysis of Works of Art

Description:

In the late 2000’s, scientific studies in cultural heritage saw a great advancement in macro X-ray fluorescence (XRF) imaging of paintings. These images are used to generate elemental distribution maps, which aid in identifying chemical elements and paint pig- ments as well as their locations throughout the layers of the...

Keyword:

machine learning, x-ray fluorescence, and image processing

Subject:

Artificial intelligence, Materials Science, and Computer science

Creator:

Chopp, Henry Hayashi

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_998414 and http://dissertations.umi.com/northwestern:16642
Dimensionality Reduction for Prosthetic Hand Control

Description:

In this document, I demonstrate that: 1) Linear basis functions cannot outperform nonlinear ones to represent hand kinematics 2) Nonlinear autoencoders outperform PCA on the dimensionality reduction of hand kinematics, 3) Nonlinear autoencoders outperform PCA in human gait representation and recurrent nonlinear autoencoders can seamlessly express the temporal dynamics, 4)...

Keyword:

kinematics, prosthetics, machine learning, gait, dimensionality reduction, and hand

Subject:

Engineering

Creator:

Portnova-Fahreeva, Alexandra

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:16176 and etdadmin_upload_920776
Advancing Computational Methods to Derive Insights from Real-world Health Data

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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