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- 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 Western Common Law tradition, legal decisions constrain and guide future cases involving the same legal issues. Although the legal academy disagrees about the specific nature of such precedential reasoning, including about the role of analogy in legal reasoning, there is ample evidence from cognitive science that analogical learning...
- Keyword:
- Precedential Reasoning, Rule Learning, Analogy, Legal Reasoning, AI and Law, and Analogical Learning
- Subject:
- Law and Artificial intelligence
- Creator:
- Blass, Joseph
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_969522 and http://dissertations.umi.com/northwestern:16441
-
- 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:
- 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:
- The esophagus plays a crucial role in the functioning of the gastrointestinal tract and esophageal disorders are associated with reduced quality of life. Several studies have reported that there is a high worldwide prevalence of esophageal disorders. Esophageal disorders are related to the mechanical properties and function of the esophageal...
- Subject:
- Mechanics, Artificial intelligence, and Biomechanics
- Creator:
- Halder, Sourav
- 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:16567 and etdadmin_upload_985717
-
- 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:
- The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...
- Keyword:
- Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,
- Subject:
- Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning
- Creator:
- Ezana N. Beyenne
- Owner:
- Ezana Negga Beyenne
- Publisher:
- Data Science Masters Theses
- Date Uploaded:
- 03/15/2023
- Date Modified:
- 03/15/2023
- Resource Type:
- Dissertation and Masters Thesis
-
- Description:
- Visual understanding is an important area in artificial intelligence. Many researchers have proposed novel deep learning models for this, which have achieved impressive results. However, deep learning models of visual understanding do not model human-like cognition and are still far from human-level ability. Standard deep learning models do not model...
- Keyword:
- Qualitative Representation, Computer Vision, and Analogical Learning
- Subject:
- Artificial intelligence
- Creator:
- Chen, Kezhen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/16/2023
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_944244 and http://dissertations.umi.com/northwestern:16338
-
- Description:
- In recent years, machine learning on graphs (or networks) has gone from a niche topic with only a few active researchers worldwide, to a heavily invested field with novel use cases for dealing with relationships and/or interactions within complex systems in the natural and social sciences. Traditionally, choosing the right...
- Keyword:
- cognitive science, graph neural networks, machine learning, neuroimaging, image processing, and artificial intelligence
- Subject:
- Artificial intelligence, Electrical engineering, and Computer science
- Creator:
- Azcona, Emanuel Aquiles
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_922507 and http://dissertations.umi.com/northwestern:16184
-
- Description:
- “Where Do We Come From? What Are We? Where Are We Going?” is the name for one of French artist Paul Gauguin’s most influential paintings. Unsurprisingly, these very questions have occupied the minds of countless philosophers, artists, and scholars since the beginning of human civilization. These questions become especially salient...
- Keyword:
- Decision-making, Organizational intelligence, Artificial intelligence, Algorithmic bias, Decision bias, and Machine learning
- Subject:
- Management, Artificial intelligence, and Psychology
- Creator:
- Wang, Dawei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_917463 and http://dissertations.umi.com/northwestern:16159
-
- Description:
- Visual Question Answering (VQA) increasingly attracts industry and academia attention. It requires the model to provide a natural language answer by an image and a related natural language question. Meanwhile, it relates to multidisciplinary research such as natural language understanding, visual information retrieval, and multimodal reasoning. As a multimodality task,...
- Keyword:
- Reasoning, Artificial Intelligence, Visual Question Answering, and Computer Vision
- Subject:
- Artificial intelligence and Computer science
- Creator:
- Xiong, Peixi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_926174 and http://dissertations.umi.com/northwestern:16204
-
- Description:
- Imagine sitting in a room listening to some friends play a song. Perhaps one friend is playing guitar, another playing bass, and a third is playing drums. The musical content in this scene is extraordinarily complex, yet it contains many types of structure that is easy for us to comprehend....
- Keyword:
- Source Separation, Musical Scene Analysis, Automatic Music Transcription, and Music Information Retrieval
- Subject:
- Artificial intelligence, Music, and Computer science
- Creator:
- Manilow, Ethan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_921115 and http://dissertations.umi.com/northwestern:16181
-
- Description:
- The goal of this dissertation is to develop models, algorithms, and interaction protocols to improve the efficacy and quality of Human-Autonomy Interaction (HAI) in the domain of assistive robotics. In this domain, the most common control paradigm is that of manual teleoperation using control interfaces such as joysticks, switch-based head...
- Keyword:
- Intent Disambiguation, Human Robot Interaction, Assistive Robotics, Shared Autonomy, Intent Inference, and Interface Awareness
- Subject:
- Artificial intelligence and Robotics
- Creator:
- Edakkattil Gopinath, Deepak
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_888172 and http://dissertations.umi.com/northwestern:15972
-
- Description:
- Language models are the foundation of many natural language tasks such as machine translation, speech recognition, and dialogue systems. Modeling the probability distributions of text accurately helps capture the structures of language and extract valuable information contained in various corpora. In recent years, many advanced models have achieved state-of-the-art performance...
- Subject:
- Artificial intelligence, Statistics, and Computer science
- Creator:
- Ju, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_863369 and http://dissertations.umi.com/northwestern:15867
-
- Description:
- Designing intelligent systems that can answer questions has been an ongoing and active challenge for the artificial intelligence community. In the past, researchers were focused on producing specialized language systems for particular domains and datasets. Such approaches would require deeper-than-ideal amounts of expertise to design, and often necessitated the expensive...
- Keyword:
- Semantic Parsing, Explainability, Analogy, and Question-answering
- Subject:
- Artificial intelligence
- Creator:
- Crouse, Maxwell
- 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:15615 and etdadmin_upload_828469
-
- 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:
- 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:
- Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz to 800 kHz frequency range and heating it until it is destroyed via coagulative necrosis. Ablation treatment is gaining momentum especially in cancer research, where the undesired...
- Keyword:
- Ensemble Learning, Integrated Circuit, Cancer Therapy, Hardware Design, Machine Learning, and Ablation
- Subject:
- Artificial intelligence, Electrical engineering, and Biomedical engineering
- Creator:
- Besler, Emre
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_786973 and http://dissertations.umi.com/northwestern:15432
-
- Description:
- Movement and sensing fundamentally works in a synergistic manner. Animal's sensory organs --- be they independently movable like eyes or requiring whole body movement as in the case of electroreceptors --- are actively manipulated throughout stimulus-driven active sensing behaviors. Though these sensing-related motions have been individually reported and analyzed across...
- Keyword:
- behavior, uncertainty, Shannon-Weaver entropy, exploration-exploitation tradeoff, active sensing, and information theory
- Subject:
- Artificial intelligence, Neurosciences, and Engineering
- Creator:
- Chen, Chen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_675222 and http://dissertations.umi.com/northwestern:14742
-
- Description:
- The task of classification has been increasingly attracting attention from researchers in recent years. The objective is to assign labels given attributes of samples. The classification task is practical in real-world applications and is widely explored in fields such as computer vision, natural language processing and information retrieval. The recent...
- Keyword:
- neural networks, classification, machine learning, and deep learning
- Subject:
- Artificial intelligence
- Creator:
- Xu, Yiming
- 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:15370 and etdadmin_upload_778963
-
- Description:
- Theory of mind (ToM) reasoning is defined as the ability to reason about another’s internal states, such as beliefs, goals, and desires. It is a major aspect of human social interaction and is mastered by most typically developing children by age five. On the other hand, simulated agents generally lack...
- Keyword:
- computational model, analogy, cognitive model, goal recognition, and theory of mind
- Subject:
- Artificial intelligence
- Creator:
- Rabkina, Irina Rabkina
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_761583 and http://dissertations.umi.com/northwestern:15223
-
- Description:
- We present two ways in which measures of information can be used for the design and analysis of neural networks in both the brain and the computer. In the brain, stimulus is often represented as a distributed pattern of activity in a network of neurons. The quality of such population...
- Keyword:
- Neural Coding, Fisher Information, Memory, Neural Networks, Population Coding, and Information Theory
- Subject:
- Artificial intelligence, Neurosciences, and Biophysics
- Creator:
- Kim, Hyun Jin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_764291 and http://dissertations.umi.com/northwestern:15264
-
- Description:
- Search engines and social media are two ubiquitous modes of accessing Web information, and they dictate what information people view, influencing their thoughts and beliefs and potentially shaping their opinions about news and facts. Network effects propagate the beliefs, often magnified, disseminating information rapidly and leaving little time for fact...
- Subject:
- Artificial intelligence
- Creator:
- Alam, Mohammed Anwarul
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_765294 and http://dissertations.umi.com/northwestern:15300
-
- 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:
- This is an attempt to recreate a reference architecture with the intention of completing a data engineering capstone project and also learning the services and technologies along the progress. The objective of the project is to use aws cloud managed services to build at scale solution to process, parse and...
- Keyword:
- ml, data engineering, lambda, serverless, nlp, machine learning, cloud, aws, ai, python, artificial intelligence, comprehend, and capstone
- Subject:
- Natural language processing (Computer science), Artificial intelligence, Data Engineering, and Machine learning
- Creator:
- Shankar Sundarakumar
- Contributor:
- Noah Gift ( Advisor)
- Owner:
- Shankar Sundarakumar
- Language:
- English
- Date Uploaded:
- 06/16/2020
- Date Modified:
- 06/16/2020
- Date Created:
- 2020-06-10
- Resource Type:
- Project
-
- Description:
- Advances in machine learning and artificial intelligence (AI) are enabling computers and robotics to take on an increasing number of work-related tasks that previously were the sole domain of humans. This trend raises questions: Which jobs will be most susceptible to replacement by automation? How many workers risk being replaced?...
- Keyword:
- Artificial Intelligence, Automation, Worker Displacement, and Labor Economics
- Subject:
- Artificial intelligence and Labor market
- Creator:
- Rick Miller
- Contributor:
- James Hackney, J.D. (Second Reader) and Dr. Anil D Chaturvedi (First Reader)
- Owner:
- Rick Miller
- Language:
- English
- Date Uploaded:
- 05/17/2020
- Date Modified:
- 05/17/2020
- Date Created:
- 2020-05-17
- Resource Type:
- Masters Thesis
-
- 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:
- 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:
- 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