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- 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:
- Communication, Computer science, and Information science
- Creator:
- Heston, Matthew
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Identifier:
- http://dissertations.umi.com/northwestern:14416 and etdadmin_upload_618506
-
- 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:
- Computational journalism, Media bias, Artificial intelligence, Framing, Media literacy, and Natural language processing
- Subject:
- Journalism, Communication, and Computer science
- Creator:
- Boon, Miriam
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Identifier:
- etdadmin_upload_686483 and http://dissertations.umi.com/northwestern:14845
-
- 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, Finite Element Analysis, Deep Learning, Microstructure Characterization and Reconstruction, Design Optimization, and Data Mining
- Subject:
- Computer science, Engineering, and Mechanical engineering
- Creator:
- Li, Xiaolin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Identifier:
- etdadmin_upload_625304 and http://dissertations.umi.com/northwestern:14436
-
- 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, metric learning, small-size samples, and visual matching
- 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
- Identifier:
- etdadmin_upload_625781 and http://dissertations.umi.com/northwestern:14443
-
- 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:
- Layer-0, Blockchain, Blockchain Distribution Network, Blockchain Scalability, Relay Networks, and Distributed Systems
- 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
- Identifier:
- http://dissertations.umi.com/northwestern:14514 and etdadmin_upload_638535
-
- 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:
- Crystallography, Materials Imaging, Imaging, Machine Learning, Electron Microscopy, and Soft Materials
- Subject:
- Computer science, Materials Science, and Nanoscience
- Creator:
- Hujsak, Karl
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Identifier:
- etdadmin_upload_638887 and http://dissertations.umi.com/northwestern:14515
-
- 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
- Identifier:
- http://dissertations.umi.com/northwestern:14485 and etdadmin_upload_631418
-
- 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:
- Social Support, Computer-Supported Cooperative Work, Human Computer Interaction, Mentorship, Newcomers, and Self-Efficacy
- Subject:
- Communication and Computer science
- Creator:
- Harburg, Emily Kathryn
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Identifier:
- etdadmin_upload_618138 and http://dissertations.umi.com/northwestern:14413
-
- 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:
- Abstract Algebra, Generative Grammar, Conditionals, Intension, Lambda Calculus, and Modality
- Subject:
- Linguistics, Logic, 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
- Identifier:
- http://dissertations.umi.com/northwestern:14415 and etdadmin_upload_618271
-
- 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:
- Sketch recognition, Near-misses, Structure Mapping, Analogy, Support Vector Machines, and Case-based reasoning
- Subject:
- Computer science and Artificial intelligence
- Creator:
- McLure, Matthew David
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Identifier:
- etdadmin_upload_640032 and http://dissertations.umi.com/northwestern:14531
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