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-
- 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
-
- 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
-
- Description:
- Performing complex reasoning has been a long-standing challenge in artificial intelligence (AI).This thesis describes a class of AI systems designed to reason, extract knowledge, and answer questions on various domains such as process understanding, elementary science, and math word problems. Our approach differs from traditional logical reasoning systems since we...
- Keyword:
- Knowledge Extraction, Natural Language Processing, Artificial Intelligence, Explainable Artificial Intelligence, Question-answering, and Reasoning
- Subject:
- Computer science
- Creator:
- Neves Ribeiro, Danilo
- 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:16640 and etdadmin_upload_997812
-
- Description:
- Mission-critical systems are those imperative systems whose failures can result in catastrophic consequences. Traditional techniques, such as manual investigation and testing, cannot ensure the absence of errors and security vulnerabilities within these systems. This dissertation leverages formal methods to comprehensively examine several mission-critical systems and their essential components. For each...
- Subject:
- Electrical engineering, Computer engineering, and Computer science
- Creator:
- Li, You
- 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:16748 and etdadmin_upload_1013532
-
- 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
-
- Description:
- In the Maximum-a-Posteriori (MAP) Inference problem, for any given probability distribution, the goal is to find the point in the support of that distribution with the highest probability. Potts models and Determinantal Point Processes (DPPs) are probabilistic models that were introduced in the context of statistical physics several decades ago....
- Keyword:
- MAP Inference, Potts Model, Determinantal Point Process, Linear Programming, Streaming Algorithms, and Online Algorithms
- Subject:
- Statistics and Computer science
- Creator:
- Talla, Aravind Reddy
- 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:16561 and etdadmin_upload_985524
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- Description:
- This dissertation introduces several novel computational imaging techniques that capture and analyze the 3D surface shapes and internal layered materials. The research proposes user-friendly and non-invasive imaging systems, constructed using only commercial off-the-shelf (COTS) components, which provide accurate measurement of 3D information that was previously inaccessible. The dissertation focuses on...
- Keyword:
- Eye Tracking, 3D Modeling, Cultural Heritage, and Computational Imaging
- Subject:
- Computer science
- Creator:
- Xu, Bingjie (Jenny)
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_986526 and http://dissertations.umi.com/northwestern:16595
-
- 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
-
- 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
-
- Description:
- Many computing technologies are primarily useful because of the existence of some set of data created by people, intentionally in some cases and unintentionally in others. For instance, technologies like search engines, recommender systems, classifiers, and language models are all dependent on digital records of things people have said, done,...
- Keyword:
- responsible artificial intelligence, data leverage, human-centered machine learning, data labor, and user-generated content
- Subject:
- Computer science and Communication
- Creator:
- Vincent, Nicholas
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/16/2023
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_945620 and http://dissertations.umi.com/northwestern:16351
-
- Description:
- A massive amount of data is generated every second all around the world. Machine learning becomes the most attractive solution to consume the data fuel and transform it into productivity. It has yielded great results in many fields, such as healthcare, marketing, finance, etc. Machine learning models are usually designed...
- Subject:
- Computer science
- Creator:
- Xue, Ye
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/16/2023
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16381 and etdadmin_upload_947914
-
- Description:
- Public-facing data-driven technologies such as social media platforms and search engines rely on data producers, such as users and crowd workers, to be feasible and financially sustainable. Recently, it became clear that the goals of these data-driven technologies do not always align with those of the public, causing public backlashes...
- Subject:
- Computer science and Communication
- Creator:
- Li, Hanlin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/16/2023
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16375 and etdadmin_upload_947289
-
- Description:
- While there is high demand for university computer science (CS) courses, students often struggle when learning to program. Prior work has identified that student perceptions of their programming ability may contribute to these challenges. For example, studies show that students often perceive that they do not belong, are not capable...
- Keyword:
- Growth Mindset, Persistence, Introductory Programming, Computer Science Education, Electrodermal Activity, and Self-efficacy
- Subject:
- Education and Computer science
- Creator:
- Gorson, Jamie
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_926233 and http://dissertations.umi.com/northwestern:16205
-
- Description:
- The current view in neuroscience holds that the brain, together with its sensory and motor structures and the environment, form a closed-loop system – a sensorimotor loop – in which the brain receives information from the environment and converts it into a motor response while simultaneously making predictions about future...
- Subject:
- Biomedical engineering, Computer science, and Neurosciences
- Creator:
- Zweifel, Nadina Olivia
- 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:16198 and etdadmin_upload_925059
-
- Description:
- Memory management and address translation need significant optimizations in order to not behindrances in the near future. Currently, plenty of work has started to address issues within the current abstraction of the hardware-software codesign of paging. I argue that a new abstraction is needed in order to properly address this...
- Keyword:
- Runtime Environments, Operating Systems, Microarchitecture, Blended Systems, and Compilers
- Subject:
- Computer engineering and Computer science
- Creator:
- Suchy, Brian
- 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:16132 and etdadmin_upload_912710