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- Description:
- Millions of people freelance in the growing online gig economy, making it important to advance pay equity and support freelancers in earning their livelihoods online. Compared to offline employment, freelancing introduces at least two challenges that threaten freelancers’ ability to secure work and the equitability of the gig economy: 1)...
- Keyword:
- equity, gender, human-computer interaction, freelancing, feedback, and online gig economy
- Subject:
- Computer science and Communication
- Creator:
- Foong, Eureka
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15400 and etdadmin_upload_780786
-
- Description:
- Supervised learning model is one of the most fundamental machine learning models. It can provide powerful capability of prediction by learning complex patterns hidden in many, sometimes thousands, predictors. It can also be used as a building block of other machine learning tasks, like unsupervised learning and reinforcement learning. Such...
- Keyword:
- Stochastic Microstructures, Fisher Score, Deep Learning, Machine Learning, Concept Drift, and Nonstationarity Analysis
- Subject:
- Materials Science, Statistics, and Computer science
- Creator:
- Zhang, Kungang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_765218 and http://dissertations.umi.com/northwestern:15297
-
- Description:
- The language Esterel has found success in many safety-critical applications, from aircraft landing gear to digital signal processors. Its unique combination of powerful control operations, deterministic concurrency, and real time execution bounds are indispensable to programmer in these kinds of safety-critical domains. However these features lead to an interesting facet...
- Keyword:
- Programming Languages, Semantics, Calculus, and Esterel
- Subject:
- Computer science
- Creator:
- Florence, Spencer P
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_754043 and http://dissertations.umi.com/northwestern:15182
-
- Description:
- The world is awash in data and much of artificial intelligence focuses on learning models of the underlying structure in this data or the mechanisms governing its evolution. Both neural and symbolic models have weaknesses that make these models sub-optimal from a use perspective. Much of this data is in...
- Keyword:
- Neural-Symbolic Models, Natural Language Processing, Artificial Intelligence, Neural Network Language Models, Finance Models, and Machine Learning
- Subject:
- Computer science
- Creator:
- Demeter, David
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_769746 and http://dissertations.umi.com/northwestern:15319
-
- Description:
- Three-dimensional (3D) imaging has been widely used in academic research and industrial applications. Compared to 2D representations, 3D imaging can yield more information about geometric structures of an object such as small surface variations that are difficult to perceive otherwise. 3D image contents provide additional information that is complementary to...
- Keyword:
- 3D imaging, Computational photography, Computational imaging, and Time-of-flight imaging
- Subject:
- Computer science
- Creator:
- Li, Fengqiang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763893 and http://dissertations.umi.com/northwestern:15254
-
- Description:
- The study and design of machines that are able to analyze the auditory scene and organize sound into parts that are perceptually meaningful to humans is referred to as machine hearing. Such machines are expected to distinguish between different sound categories (e.g., speech, music, background noise), focus on a sound...
- Keyword:
- Audio Source Separation, Common Fate, Machine Hearing, Audio Signal Processing, Audio Classification, and Audio Representation
- Subject:
- Electrical engineering and Computer science
- Creator:
- Pishdadian, Fatemeh
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_780859 and http://dissertations.umi.com/northwestern:15404
-
- Description:
- Social media and online forums provide spaces where people can gather beyond restrictions of geographic proximity. For some individuals with mental illness, these spaces are vital; providing outlets and communities where a multitude of experiences are accepted and understood, rather than judged against normative, often ableist standards. For nearly three...
- Keyword:
- Social Computing, Human-Computer Interaction, Digital Ethnography, Mental Illness, Eating Disorders, and Anti-Oppressive Care
- Subject:
- Information science, Computer science, and Communication
- Creator:
- Feuston, Jessica
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_768803 and http://dissertations.umi.com/northwestern:15315
-
- Description:
- Surface appearance represents the sense impression of the surface. In visual art, the artists try to use the appearance of their artworks to express their mental state and philosophy. Researchers in the cultural heritage community has been trying to use different analysis approaches to interpret artworks. In Computer Graphics and...
- Keyword:
- 3D Imaging, Computational Photography, Computer Vision, Computational Imaging, and Computer Graphics
- Subject:
- Computer science
- Creator:
- Yeh, Chia-Kai
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15289 and etdadmin_upload_765018
-
- Description:
- In the current state of robotics, the systems we create are heavily reliant on our consistent guidance, programming of tasks, and oracle information that allow them to operate in the world that we inhabit. What happens to our robotic systems when we are unable to perform as an oracle, creating...
- Keyword:
- Optimal Experimental Design, Imitation Learning, Robotics, Active learning, and Optimal Control
- Subject:
- Robotics and Computer science
- Creator:
- Abraham, Ian
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_764973 and http://dissertations.umi.com/northwestern:15287
-
- Description:
- Peer review is a commonly used tool to manage large classes. It allows students to grade and provide feedback to each other based on rubrics provided by instructors. Peer review has been proved to be effective in improving students' learning outcomes by many research. During providing peer review, students are...
- Keyword:
- peer review, peer grading, highlighted text prediction, open domain named entity typing, and natural language processing
- Subject:
- Computer science
- Creator:
- Yuan, Zheng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_744729 and http://dissertations.umi.com/northwestern:15148
-
- Description:
- Our experience of the physical world is mediated by our senses, but while most people have five senses, interactions with computer systems are largely limited to the visual sense. When working with nonvisual artifacts, like sound, on computers, such artifacts are typically transformed, or re-encoded, into something visual. Determining how...
- Keyword:
- HCI, user intreface, mixing, sound, visualization, and audio
- Subject:
- Information science, Computer science, and Communication
- Creator:
- Liebman, Noah
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15448 and etdadmin_upload_792114
-
- Description:
- From cyber theft of personal financial information to Advanced Persistent Threat (APT) attacks, nowadays endpoint devices suffer from various intrusions which cause inestimable property and privacy loss. To protect the security on endpoints, endpoint detection and response (EDR) systems have been developed to serve as the powerful solution against those...
- Keyword:
- Computer System, System Security, Graph-based Low-level Event Analysis, and Endpoint Detection and Response
- Subject:
- Computer science
- Creator:
- Chen, Xutong
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_817664 and http://dissertations.umi.com/northwestern:15548
-
- Description:
- Motivated by real-world problems in various fields, mechanism design governs the design of protocols for strategic agents and has applications both in computer science and economics. Due to the revelation principle – a seminal observation in mechanism design, a vast number of studies in mechanism design focus on revelation mechanisms...
- Keyword:
- revenue maximization, welfare maximization, revelation gap, algorithmic game theory, and mechanism design
- Subject:
- Computer science
- Creator:
- Feng, Yiding
- 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:15585 and etdadmin_upload_819709
-
- Description:
- Cardiovascular disease is the leading cause of death in US and non-invasive cardiac imaging has vital importance for early detection and diagnosis of heart disease. Cardiac Magnetic Resonance (CMR) is arguably the most versatile imaging modality and capable of a comprehensive evaluation of heart disease without ionization radiation. Despite the...
- Keyword:
- Cardiovascular MRI, Deep learning, Magnetic Resonance Imaging , Image segmentation, Compressed Sensing, and Image reconstruction
- Subject:
- Artificial intelligence, Medical imaging, and Computer science
- Creator:
- Shen, Daming
- 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:15537 and etdadmin_upload_816372
-
- Description:
- When first-year students begin college they are thrown into a new environment where they are expected to simultaneously perform academically, form new relationships, and become independent. Many students struggle with this transition; experiences of stress, anxiety, and depression are common. For the majority of residential college students this is their...
- Subject:
- Computer science and Communication
- Creator:
- Smith, Madeline E
- 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:15524 and etdadmin_upload_814670
-
- Description:
- Location-aware technologies, such as personal navigation applications, location-based AR games, and artificial intelligence systems that learn from data about places, increasingly mediate our understanding of and interactions with the world. However, a number of risks associated with location-aware technologies have emerged, jeopardizing the welfare of its users. This dissertation seeks...
- Keyword:
- Location-aware technologies, Geographic inequalities, and Human-centered AI
- Subject:
- Geographic information science and geodesy and Computer science
- Creator:
- Lin, Yilun
- 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:15521 and etdadmin_upload_814332
-
- 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
-
- Description:
- Human language processing is incremental. In this dissertation, I explore how an incremental perspective can help us clarify our understanding of transformational syntax, which typically proceeds bottom-up. As part of our exploration, I develop an incremental head-driven parsing algorithm for Minimalist Grammars. The two main innovations of this parsing algorithm...
- Keyword:
- semantics, minimalist grammars, incremental, parsing, movement chains, and syntax
- Subject:
- Logic, Linguistics, and Computer science
- Creator:
- Baumann, Peter
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/06/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_843180 and http://dissertations.umi.com/northwestern:15711
-
- Description:
- Security and robustness are two critical problems in modern computing system. In this disserta- tion, we study these two problems in both hardware system and learning system.Firstly, we discuss the robustness problem in hardware system. Modern microprocessors suffer from significant on-chip variation at the advanced technology nodes. The development of...
- Keyword:
- Federated Learning, Robustness, Security, Noisy Traning, Circuit Sythesis, and Formal Verfication
- Subject:
- Computer engineering and Computer science
- Creator:
- Kong, Shuyu N/A
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/06/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15770 and etdadmin_upload_845378
-
- Description:
- Recent developments in deep learning have led to breakthroughs in rendering novel views from sparse input views of a scene.While the accuracy of these algorithms has improved dramatically, it has come at a huge computational cost. While developments in graphics hardware have ameliorated some of the computational burdens, deep learning-based...
- Keyword:
- Augmented Reality, deep learning, novel view, and view synthesis
- Subject:
- Computer engineering and Computer science
- Creator:
- Ghosh, Sushobhan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_834671 and http://dissertations.umi.com/northwestern:15657