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Work30

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Dissertation28
Masters Thesis2
Project1

Creator

S. Bursztyn, Victor2
Alam, Mohammed Anwarul1
Azcona, Emanuel Aquiles1
Bandy, Jack1
Besler, Emre1
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Contributor

Dr. Anil D Chaturvedi (First Reader)1
James Hackney, J.D. (Second Reader)1
Noah Gift ( Advisor) 1

Keyword

machine learning4
Analogy3
Analogical Learning2
Artificial Intelligence2
Assistive Robotics2
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Subject

Artificial intelligence[remove]30
Computer science15
Electrical engineering2
Machine learning2
Natural language processing (Computer science)2
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en27
English2

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Data Science Masters Theses1

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Data Science Masters Theses1

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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
Extracting and Applying Legal Rules from Precedent Cases

Description:

In the Western Common Law tradition, legal decisions constrain and guide future cases involving the same legal issues. Although the legal academy disagrees about the specific nature of such precedential reasoning, including about the role of analogy in legal reasoning, there is ample evidence from cognitive science that analogical learning...

Keyword:

Precedential Reasoning, Rule Learning, Analogy, Legal Reasoning, AI and Law, and Analogical Learning

Subject:

Law and Artificial intelligence

Creator:

Blass, Joseph

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_969522 and http://dissertations.umi.com/northwestern:16441
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations

Description:

Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...

Keyword:

conversational search, critiquing-based systems, language models, natural language processing, conversational systems, and conversational recommendation

Subject:

Artificial intelligence and Computer science

Creator:

S. Bursztyn, Victor

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16403 and etdadmin_upload_961447
Auditing Algorithmic Communication Flows

Description:

Human communication has become increasingly reliant on systems made and managed by large technology companies like Google, Apple, Twitter, and Meta (formerly Facebook). These systems offer people many benefits, but they also present new challenges for society. In recent years, researchers, lawmakers, and journalists have suggested that large technology companies...

Keyword:

Apple, Twitter, Google, Algorithm Auditing, Sociotechnical Systems, and Facebook

Subject:

Artificial intelligence, Computer science, and Communication

Creator:

Bandy, Jack

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:16555 and etdadmin_upload_985359
Mechanics-informed Diagnosis and Treatment Planning: Application to Esophageal Disorders

Description:

The esophagus plays a crucial role in the functioning of the gastrointestinal tract and esophageal disorders are associated with reduced quality of life. Several studies have reported that there is a high worldwide prevalence of esophageal disorders. Esophageal disorders are related to the mechanical properties and function of the esophageal...

Subject:

Mechanics, Artificial intelligence, and Biomechanics

Creator:

Halder, Sourav

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:16567 and etdadmin_upload_985717
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations

Description:

Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...

Keyword:

conversational search, critiquing-based systems, language models, natural language processing, conversational systems, and conversational recommendation

Subject:

Artificial intelligence and Computer science

Creator:

S. Bursztyn, Victor

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

03/24/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16403 and etdadmin_upload_961447
Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Description:

The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...

Keyword:

Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,

Subject:

Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning

Creator:

Ezana N. Beyenne

Owner:

Ezana Negga Beyenne

Publisher:

Data Science Masters Theses

Date Uploaded:

03/15/2023

Date Modified:

03/15/2023

Resource Type:

Dissertation and Masters Thesis
Visual Understanding using Analogical Learning over Qualitative Representations

Description:

Visual understanding is an important area in artificial intelligence. Many researchers have proposed novel deep learning models for this, which have achieved impressive results. However, deep learning models of visual understanding do not model human-like cognition and are still far from human-level ability. Standard deep learning models do not model...

Keyword:

Qualitative Representation, Computer Vision, and Analogical Learning

Subject:

Artificial intelligence

Creator:

Chen, Kezhen

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/16/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_944244 and http://dissertations.umi.com/northwestern:16338
Geometric deep learning in neuroimaging and human reward behavior

Description:

In recent years, machine learning on graphs (or networks) has gone from a niche topic with only a few active researchers worldwide, to a heavily invested field with novel use cases for dealing with relationships and/or interactions within complex systems in the natural and social sciences. Traditionally, choosing the right...

Keyword:

cognitive science, graph neural networks, machine learning, neuroimaging, image processing, and artificial intelligence

Subject:

Artificial intelligence, Electrical engineering, and Computer science

Creator:

Azcona, Emanuel Aquiles

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_922507 and http://dissertations.umi.com/northwestern:16184
Where Do We Come From? What Are We? Where Are We Going? Contemplating Artificial Intelligence Applications in Organizations and Organizational Research

Description:

“Where Do We Come From? What Are We? Where Are We Going?” is the name for one of French artist Paul Gauguin’s most influential paintings. Unsurprisingly, these very questions have occupied the minds of countless philosophers, artists, and scholars since the beginning of human civilization. These questions become especially salient...

Keyword:

Decision-making, Organizational intelligence, Artificial intelligence, Algorithmic bias, Decision bias, and Machine learning

Subject:

Management, Artificial intelligence, and Psychology

Creator:

Wang, Dawei

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_917463 and http://dissertations.umi.com/northwestern:16159

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