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Work54

Resource type

Dissertation54

Creator

S. Bursztyn, Victor2
Abraham, Ian1
Al-Bahrani, Reda1
Alharbi, Rawan1
Amartya Banerjee1
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Keyword

Machine Learning4
Computer Vision2
Deep Learning2
Human Computer Interaction2
Reinforcement Learning2
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Subject

Computer science[remove]54
Communication12
Artificial intelligence9
Information science6
Computer engineering2
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en53

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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
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
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
Re-imagining Wearable Visual Systems for Context-Aware Computing

Description:

Wearable visual systems, such as ego-centric wearable cameras, have failed to integrate into everyday life. We have witnessed the abandonment of wearable visual systems as consumer devices (e.g., Google Glass) and as research tools (e.g., SenseCam). While it is natural for some technologies to die out, visual wearable systems are...

Subject:

Computer science

Creator:

Alharbi, Rawan

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_928895 and http://dissertations.umi.com/northwestern:16256
Towards Understanding and Reducing Exploitability of Linux Kernel Bugs

Description:

The Operating System (OS) kernel is a key component of modern computing infrastructure, yet it is prone to numerous vulnerabilities, many of which cause memory corruptions that can be exploited by attackers to perform malicious activities. While various techniques have been introduced to secure the Linux kernel, it still constantly...

Keyword:

Weird machine, Kernel vulnerability, Exploitation, and Exploitability

Subject:

Computer science

Creator:

Lin, Zhenpeng

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_1010237 and http://dissertations.umi.com/northwestern:16700
Approximation Algorithms for Explainable Clustering

Description:

Clustering is a fundamental task in unsupervised learning, which aims to partition the data set into several clusters. It is widely used for data mining, image segmentation, and natural language processing. One of the most popular clustering methods is centroid-based clustering, including k-medians and k-means clustering. k-medians and k-means clustering...

Keyword:

Decision Tree, Clustering, Explainability, and k-means

Subject:

Computer science

Creator:

Shan, Liren

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16717 and etdadmin_upload_1012370
Designing Web-Based Technologies for Data Visualization Skill Development

Description:

As our world is increasingly filled with data visualizations, having the skills to leverage data visualizations is essential for participation in society. Confident engagement with data visualizations is critical for being an educated member of society; however, research has shown that it is difficult for individuals to digest and gain...

Subject:

Design, Educational technology, and Computer science

Creator:

Thompson, JaCoya

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_971103 and http://dissertations.umi.com/northwestern:16451
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
Computational Study of News Systems: Embracing the Complexity Paradigm

Description:

The production and spread of digital news involves a wide range of actors: journalists and the organizations that employ them, social media platforms, audiences, and myriad commentators, citizen journalists, bloggers, and other actors who contribute to the news ecosystem without inhabiting an official role. These actors interact in flexible, often...

Keyword:

computational social science, algorithms, digital journalism, simulation, network analysis, and complexity

Subject:

Journalism, Computer science, and Communication

Creator:

Hagar, Nicholas

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_984386 and http://dissertations.umi.com/northwestern:16531
Fantastic Subgraphs and How to Find Them

Description:

Due to their widespread applicability, graphs and networks appear in various contexts. The increasing scale of graphs encountered in the real-world requires the developmentof efficient algorithms that run reasonably fast and produce close to optimal solutions. The main focus of this thesis is the development of fast graph algorithms for...

Keyword:

Parallel Algorithms, Dynamic Algorithms, Algorithms, Approximation Algorithms, Combinatorial Optimization, and Graph Theory

Subject:

Computer science

Creator:

Sukprasert, Pattara

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_984409 and http://dissertations.umi.com/northwestern:16533

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