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-
- Description:
- In the near future, self-driving or driverless vehicles will operate without human control, enabling passengers to use their time in new ways. This opens up avenues for designing new interactions and experiences for individuals or groups traveling in an automobile. For that scenario, automobile manufacturers propose developing bigger and better...
- Keyword:
- self-driving cars
- Subject:
- Computer science and Autonomous vehicles
- Creator:
- Amartya Banerjee
- Owner:
- Chris Diaz
- Date Uploaded:
- 01/16/2019
- Date Modified:
- 01/16/2019
- Date Created:
- 2018
- Resource Type:
- Dissertation
-
- Description:
- A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...
- Keyword:
- visual recognition, deep learning, computer vision, and compositional
- Subject:
- Electrical engineering and Computer science
- Creator:
- Tang, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_670616 and http://dissertations.umi.com/northwestern:14725
-
- Description:
- Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...
- Keyword:
- definition modeling, statistical language models, deep learning, nonparametric Bayesian model, community detection, and neural language models
- Subject:
- Artificial intelligence, Statistics, and Computer science
- Creator:
- Zhu, Ruimin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685529 and http://dissertations.umi.com/northwestern:14809
-
- Description:
- We address the problem of efficient maintenance of the answer to a new type of query: Continuous Maximizing Range-Sum (Co-MaxRS) for moving objects trajectories. The traditional static/spatial MaxRS problem finds a location for placing the centroid of a given (axes-parallel) rectangle $R$ so that the sum of the weights of...
- Keyword:
- Maximizing Range-Sum Query, MaxRS3, Optimal Density Clustering, Bursty Updates, Moving Objects Trajectories, and MaxRS
- Subject:
- Mathematics, Computer engineering, and Computer science
- Creator:
- Mas-ud Hussain, Muhammed
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14445 and etdadmin_upload_625938
-
- Description:
- Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved by dispersing inorganic nano-particles into organic polymer matrix, the intrinsic governing principles of such composite has not been thoroughly studied...
- Keyword:
- Interphase, Data Mining, Design Optimization, Finite Element Analysis, Deep Learning, and Microstructure Characterization and Reconstruction
- Subject:
- Mechanical engineering, Computer science, and Engineering
- Creator:
- Li, Xiaolin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14436 and etdadmin_upload_625304
-
- Description:
- Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....
- Keyword:
- Imaging, Materials Imaging, Soft Materials, Crystallography, Machine Learning, and Electron Microscopy
- Subject:
- Nanoscience, Materials Science, and Computer science
- Creator:
- Hujsak, Karl
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14515 and etdadmin_upload_638887
-
- Description:
- In this dissertation, we study different machine learning algorithms including probabilistic, sparse and deep learning based models applied to multi-sensory datasets. In many machine learning problems, samples are collected from more than one source or modality. Also, various feature extraction methods can be used to provide more than one set...
- Subject:
- Computer science
- Creator:
- Rohani, Neda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14441 and etdadmin_upload_625710
-
- Description:
- Data mining is multidisciplinary process involving computer science, artificial intelli- gence, and machine learning. The aim of data mining is discovering knowledge from a vast amount of data. This process consists of a set of stages forming a pipeline. This pipeline process consists of multiple steps: 1) Finding the right...
- Subject:
- Computer science
- Creator:
- Al-Bahrani, Reda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_631418 and http://dissertations.umi.com/northwestern:14485
-
- Description:
- Blockchains are an exciting new type of Peer-to-Peer (P2P) distributed systems, which enable parties to transact directly, and maintain the record of said interactions in a distributed manner. A unique feature of blockchains is their ability to maintain a consensus without requiring knowledge on the number of participants, nor their...
- Keyword:
- Blockchain Distribution Network, Distributed Systems, Blockchain Scalability, Blockchain, Layer-0, and Relay Networks
- Subject:
- Computer science
- Creator:
- Klarman, Uri
- 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:14514 and etdadmin_upload_638535
-
- Description:
- The theory of how humans and machines control and communicate with each other is at the core of the scientific field known as Human-Robot Interaction (HRI). Researchers in this sub-discipline of robotics are therefore particularly interested in developing methods to chuppahreduce the inherent friction in this communication and control channel....
- Keyword:
- Human-Robot Interaction, Data-driven Control, Machine Learning, and Optimal Control
- Subject:
- Robotics and Computer science
- Creator:
- Broad, Alexander Sherman
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_683518 and http://dissertations.umi.com/northwestern:14789
-
- Description:
- Newcomers, or new members to organizations or professions, bring insights that are critical to the advancement of society. Yet newcomers often have low self-efficacy, or low beliefs in their abilities to achieve a task, which can impact performance and retention. Research suggests that self-efficacy can be developed through in-person social...
- Keyword:
- Computer-Supported Cooperative Work, Human Computer Interaction, Newcomers, Mentorship, Social Support, and Self-Efficacy
- Subject:
- Computer science and Communication
- Creator:
- Harburg, Emily Kathryn
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14413 and etdadmin_upload_618138
-
- Description:
- This dissertation combines perspectives from social networks and teams research to advance understanding of team self-assembly. Across three substantive chapters, I explore team member search behaviors and invitation patterns in contexts where individuals exercise agency to select team members. First, I consider the search for team members in a social...
- Keyword:
- social networks, network search, network analysis, teams, collaboration, and team assembly
- Subject:
- Computer science and Communication
- Creator:
- Twyman, Marlon
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_682474 and http://dissertations.umi.com/northwestern:14785
-
- Description:
- Responsiveness -- the time it takes for a message recipient to respond to a message -- has long been of interest to scholars in the fields of computer-mediated communication and human-computer interaction. It has been hypothesized that responsiveness is used to signal emotional information, and many empirical studies have demonstrated...
- Subject:
- Information science, Computer science, and Communication
- Creator:
- Heston, Matthew
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14416 and etdadmin_upload_618506
-
- Description:
- Abstract The work presented in this dissertation addresses three broad areas of video signal processing: video transmission, motion estimation and error concealment. In the first category, focused on the source-side, we present two machine learning models for efficient content-aware resource allocation and packet prioritization for video transmission over shared/constrained, lossy...
- Keyword:
- CNN, Optical Flow, Video Transmission, Neural Networks, ConvLSTM, Motion Estimation, Error Concealment, and Capsule Networks
- Subject:
- Electrical engineering, Computer engineering, and Computer science
- Creator:
- Sankisa, Arun
- 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:14822 and etdadmin_upload_685993
-
- Description:
- Visual matching is an important and fruitful research topic in computer vision area. Starting from the early face recognition, super-resolution, object tracking to the most recent person re-identification, cross-model retrieval, visual matching plays an important role as the core component in these tasks. The quality of visual matching directly and...
- Keyword:
- person re-identifciation, small-size samples, visual matching, and metric learning
- Subject:
- Computer science
- Creator:
- ZHOU, JIAHUAN
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_625781 and http://dissertations.umi.com/northwestern:14443
-
- Description:
- Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...
- Keyword:
- Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning
- Subject:
- Bioinformatics and Computer science
- Creator:
- Zeng, Zexian
- 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:14500 and etdadmin_upload_635668
-
- Description:
- In the near future, self-driving or driverless vehicles will operate without human control, enabling passengers to use their time in new ways. This opens up avenues for designing new interactions and experiences for individuals or groups traveling in an automobile. For that scenario, automobile manufacturers propose developing bigger and better...
- Subject:
- Computer science
- Creator:
- Banerjee, Amartya
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_624372 and http://dissertations.umi.com/northwestern:14432
-
- Description:
- Recovering three-dimensional (3D) structural information of a specimen from a single two-dimensional (2D) measurement remains an important but challenging task in microscopic imaging. A conventional 2D microscopic image has a shallow depth-of-focus (DoF). Thus, recovering 3D information usually requires sequentially z-scanning the focal planes. This process is time consuming and...
- Keyword:
- Microscopy, Single-shot, Computational imaging, and Optimization
- Subject:
- Computer science
- Creator:
- He, Kuan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_680840 and http://dissertations.umi.com/northwestern:14776
-
- Description:
- Automated sketch collaborators might help us create more dynamic intelligent tutoring systems, work out designs, reduce bias in solving spatial social problems, and organize our ideas. Here, we examine some properties of sketch recognition methods designed to help serve that goal. Structure Mapping techniques are applied to symbolic structural descriptions...
- Keyword:
- Near-misses, Case-based reasoning, Structure Mapping, Sketch recognition, Analogy, and Support Vector Machines
- Subject:
- Artificial intelligence and Computer science
- Creator:
- McLure, Matthew David
- 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:14531 and etdadmin_upload_640032
-
- Description:
- Natural Language Processing methods have become increasingly important for a variety of high- and low-level tasks including speech recognition, question answering, and automatic language translation. The state of the art performance of these methods is continuously advancing, but reliance on labeled training data sets often creates an artificial upper bound...
- Keyword:
- Word Embeddings, Natural Language Processing, Polysemy, and Neural Networks
- Subject:
- Artificial intelligence and Computer science
- Creator:
- Lucas, Michael Ryan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_677765 and http://dissertations.umi.com/northwestern:14760
-
- Description:
- In response to exponentially increasing demand for digital media, today's Internet landscape has evolved into a multitude of diverse and interdependent distribution systems designed to move content as efficiently as possible. While many of these systems have \emph{individually} been explored in depth by both academic and industrial communities, a cross-sectional...
- Keyword:
- computer networking, content distribution networks, dns, cdn, kodi, and latency
- Subject:
- Computer science
- Creator:
- Warrior, Marc Anthony
- 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:14739 and etdadmin_upload_674888
-
- Description:
- Assistive robotics focuses on human-robot systems that provide physical support and assistance to the elderly and people with motor-impairments. While assistive machines, such as the powered wheelchair, can significantly enhance the functional independence of individuals, many users are challenged by their direct operation, the manner in which such systems are...
- Keyword:
- Human-Robot Interaction, Assistive Robotics, Shared Autonomy, Human-in-the-loop, Robot Perception, and Intent Inference
- Subject:
- Artificial intelligence, Robotics, and Computer science
- Creator:
- Jain, Siddarth
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Modified:
- 01/11/2021
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685925 and http://dissertations.umi.com/northwestern:14818
-
- Description:
- Citizen media literacy is essential in a democratic society, particularly in the online environment where valid media sources have proliferated alongside purveyors of fake news. This dissertation explores technologies that automatically detect aspects of bias in news articles, with the ultimate aim of leveraging them to augment media literacy. It...
- Keyword:
- Media literacy, Artificial intelligence, Media bias, Natural language processing, Computational journalism, and Framing
- Subject:
- Journalism, Computer science, and Communication
- Creator:
- Boon, Miriam
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_686483 and http://dissertations.umi.com/northwestern:14845
-
- Description:
- Historically, there have been large disparities in the degree to which different communities have access to resources and representation within society. With the increased availability of the internet and the growth of user-generated content platforms like Twitter and Wikipedia, there are opportunities to alleviate some these long-standing barriers to access...
- Keyword:
- Algorithmic Fairness, Structural Inequalities, Online Representation, and Geographic Technologies
- Subject:
- Computer science
- Creator:
- Johnson, Isaac
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_640270 and http://dissertations.umi.com/northwestern:14540
-
- Description:
- The analytical paradigm in philosophy has as a pillar an analysis of the sentence as a basic entity. New sentences may be built from old sentences recursively through the application of logical constants, recently including intensional operators. Models are built on how these logical constants interact with each other, and...
- Keyword:
- Conditionals, Modality, Abstract Algebra, Lambda Calculus, Generative Grammar, and Intension
- Subject:
- Logic, Linguistics, and Computer science
- Creator:
- Cook, Ezra Joseph
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_618271 and http://dissertations.umi.com/northwestern:14415
-
- Description:
- Deep neural networks have shown impressive performance for many applications. In this dissertation, leveraging the capabilities of neural networks for modeling the non-linearity exists in the data, we propose several models that can project data into a low dimensional, discriminative, and smooth manifold. The suggested models can transfer knowledge from...
- Keyword:
- Discriminative, Clustering, LIGO, and Dimensionality Reduction
- Subject:
- Computer science
- Creator:
- Bahaadini Beigy Zarandi, Sara
- 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:14850 and etdadmin_upload_686625
-
- Description:
- Many volunteer communities rely on technological systems to help their members connect, collaborate and learn the norms of how to participate in the organization. This dissertation presents research that examines technological interventions designed to support participation in three different volunteer-run communities, all of which have porous boundaries, and allow volunteers...
- Keyword:
- online communities, wikis, volunteers, peer production, and collaboration
- Subject:
- Computer science and Communication
- Creator:
- Narayan, Sneha
- 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:14801 and etdadmin_upload_685028
-
- Description:
- Neural networks have revolutionized the field of computer vision since they provide solutions to a number of previously unsolved problems and achieve promising performance both in terms of accuracy and computational efficiency. It has increasingly become recognized as providing high performance for applications as diverse as image classification, object detection,...
- Keyword:
- chronic stroke lesion segmentation, neural network, medical image analysis, and video segmentation
- Subject:
- Computer science
- Creator:
- WANG, Yan-Ran
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_686287 and http://dissertations.umi.com/northwestern:14835
-
- Description:
- Super-resolution (SR) has become one of the most critical problems in image and video processing. In Chapter 2 of this thesis, a detailed review of existing Deep Learning (DL) techniques for addressing the SR task, with an emphasis on how DL and analytical techniques can be combined, is provided. Chapter...
- Keyword:
- Image Processing, Video Processing, Deep Learning, and Super-Resolution
- Subject:
- Electrical engineering and Computer science
- Creator:
- Lucas, Alice Marie
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 01/21/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15076 and etdadmin_upload_741221
-
- Description:
- Biological systems comprise diverse collections of cellular and non-cellular components with intricate relationships and dynamic interactions. To gain system-level understanding, we must be able to accurately model these systems, both experimentally and computationally. Agent-based models (ABMs) in particular are a uniquely intuitive, modular, and flexible framework capable of supporting multi-scale,...
- Keyword:
- emergent behavior, systems biology, and agent-based modeling
- Subject:
- Biology, Chemical engineering, and Computer science
- Creator:
- Yu, Jessica
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 01/21/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_743010 and http://dissertations.umi.com/northwestern:15106
-
- Description:
- The ever growing desire for accurate estimation and efficient learning necessitates the efforts to quantitatively characterize uncertainties for models. In this thesis, four problems pertaining to uncertainty quantification are discussed: A sequential stopping framework of constructing fixed-precision confidence regions is proposed for a class of multivariate simulation problems where variance...
- Keyword:
- Ranking and Selection, Reinforcement Learning, Statistical Learning, Stochastic Gradient Descent, and Uncertainty Quantification
- Subject:
- Applied mathematics, Statistics, and Computer science
- Creator:
- Zhu, Yi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 01/21/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15080 and etdadmin_upload_741745
-
- Description:
- Sound is one of the most important mediums to understand the environment around us. Identifying a sound event in prerecorded audio (such as a police siren, a dog bark, or a creaking door in soundscapes) leads to a better understanding of the context where the sound events occurred. To do...
- Keyword:
- Human-in-the-loop interface, Sound event detection, Sound event annotation, Audio signal processing, and Machine learning
- Subject:
- Artificial intelligence and Computer science
- Creator:
- Kim, Bongjun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 01/21/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_739320 and http://dissertations.umi.com/northwestern:15064
-
- Description:
- In conventional data federations, a set of data providers each possess an autonomous database and collectively make the union of these databases available for querying by a client from a unified SQL interface. This setting however, provides no guarantees on data privacy or security. With my work, I consider a...
- Subject:
- Computer science
- Creator:
- Bater, Johes
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_764150 and http://dissertations.umi.com/northwestern:15258
-
- Description:
- This dissertation asks how researchers can create more equitable algorithmic systems. Ultimately, this thesis explores methods and implications of representing subjects of analysis in the design and evaluation of algorithmic systems. I also unpack how algorithmic tools measure and quantify human behavior, giving heed to the potential impacts of these...
- Keyword:
- algorithms, machine learning, human-computer interaction, social discrimination, age discrimination, and algorithmic fairness
- Subject:
- Information science, Social research, and Computer science
- Creator:
- Díaz, Mark
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_762101 and http://dissertations.umi.com/northwestern:15226
-
- Description:
- Computational imaging (CI) is a class of imaging systems that optimize both the opto-electronic hardware and computing software to achieve task-specific improvements. Machine/deep learning models have proven effective in drawing statistical priors from adequate datasets. Yet when designing computational models for CI problems, physics-based models derived from the image formation...
- Keyword:
- computational imaging, machine learning, event-based vision, and holographic 3D display
- Subject:
- Optics and Computer science
- Creator:
- Wang, Zihao
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763327 and http://dissertations.umi.com/northwestern:15240
-
- Description:
- Volunteer-based physical crowdsourcing systems connect individuals to make unique contributions to solve local and communal problems and enable new services. A key challenge in enabling such systems is attracting enough willing volunteers who can make useful contributions to achieve desired system goals. While most volunteer-based systems provide volunteers flexibility to...
- Subject:
- Computer science
- Creator:
- Kim, Yongsung
- 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:15338 and etdadmin_upload_772442
-
- Description:
- Algorithmically-driven social platforms present a challenge for self-presentation and identity management by obscuring audiences behind algorithmic mechanisms. Users are increasingly aware of this and actively adapting through folk theorization, but we do not know how users are coping with the constant change endemic to these platforms. We also do not...
- Keyword:
- human computer interaction, folk theorization, lbgtq, folk theories, and algorithmic literacy
- Subject:
- Cognitive psychology, Information science, and Computer science
- Creator:
- DeVito, Michael Ann
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_779819 and http://dissertations.umi.com/northwestern:15378
-
- Description:
- In this thesis we study two problems, one in unsupervised learning - k-means clustering and the other in a supervised learning setting with the presence of adversarial perturbations. We do a beyond-worst case style analysis and show that in either case instances that are resilient to adversarial perturbations are also...
- Keyword:
- Clustering, Margin Conditions, and Adversarial Learning
- Subject:
- Computer science
- Creator:
- Dutta, Abhratanu
- 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:15301 and etdadmin_upload_765296
-
- Description:
- Commonsense inference is a critical capability of modern artificial intelligence (AI) systems. The machines need commonsense knowledge to perform tasks exactly like human being does. Learning commonsense inference from text has been a long standing challenge in the field of natural language processing due to reporting bias -- people do...
- Keyword:
- data augmentation, commonsense inference, statistical modeling in text data, NLP, deep learning, and language modeling
- Subject:
- Statistics and Computer science
- Creator:
- Yang, Yiben
- 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:15163 and etdadmin_upload_750023
-
- Description:
- This dissertation explores the design and evaluation of augmentative and alternative communication (AAC) technologies for people with aphasia. Humans use speech and language to communicate their thoughts and opinions as well as express their individuality, autonomy and agency (George Armitage Miller 1951; Ahearn 2001). Speech and language are important tools...
- Keyword:
- HCI, AAC, Accessibility, Aphasia, and Assistive Technologies
- Subject:
- Computer science
- Creator:
- Obiorah, Mmachi God'sglory
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_773811 and http://dissertations.umi.com/northwestern:15351
-
- 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
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