Search results | J. Murrey Atkins Library

Title: 'Practice' for Enhancing the Performance of a Deep Reinforcement Learning Agent
Author: Kancharla, Venkata Sai Santosh Ravi Teja
Date Created: 2019
Subjects--Topical: Artificial intelligence
Description: Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...

Title: An Evidence-Based Digital Nudging In Support Of Health Misinformation Assessment On Social Media Sites
Author: Alsaleh, Hamad
Date Created: 2022
Subjects--Topical: Computer science, Information science, Artificial intelligence
Description: In recent years, social media have dramatically improved the dissemination speed of information, which also includes health misinformation. To date, most of the computational approaches to addressing this problem have focused on detecting and flag...

Title: Citation Recommendation on Graph
Author: Jia, Haofeng
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this dissertation, we cons...

Title: Creating Automated Virtual Humans
Author: Sakpal, Raghavi
Date Created: 2015
Subjects--Topical: Computer science, Artificial intelligence
Description: Virtual Humans (VHs) are highly efficient and effective task oriented tools for various social and collaborative environments. VHs have the ability to replicate human like verbal (speech) and non-verbal (gestures, facial expressions) interactive b...

Title: DIRECTING VIRTUAL HUMANS USING PLAY-SCRIPTS AND SPATIO-TEMPORAL REASONING
Author: Talbot, Christine
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: Historically, most virtual human character research focuses on realism/emotions, interaction with humans, and discourse. The majority of the spatial positioning of characters has focused on one-on-one conversations with humans or placing virtual c...

Title: Deep Learning-based Digital Human Modeling and Applications
Author: Ali, Ayman
Date Created: 2023
Subjects--Topical: Artificial intelligence, Biomechanics, Computer science
Description: Recent advancements in the domain of deep learning models have engendered remarkable progress across numerous computer vision tasks. Notably, there has been a burgeoning interest in the field of recovering three-dimensional (3D) human models from ...

Title: Deep Natural Language Generation Using BERT for Summarization
Author: Choudhury, Sourav
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...

Title: Deep Structured Learning in Medical Image Analysis
Author: Kong, Bin
Date Created: 2020
Subjects--Topical: Artificial intelligence, Diagnostic imaging
Description: Deep learning-based techniques have been widely employed in solving various medical image analytical problems. Currently, most of these methods directly employ deep architectures from natural image scenarios without considering the specific struct...

Title: Detecting Discrete Emotions in Text Using Neural Networks
Author: Seyeditabari, Seyed Armin
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political science, psychology, human-computer interaction, artificial intelligence. Acces...

Title: Developing Temporal Machine Learning Approaches to Support Modeling, Explaining, and Sensemaking of Academic Success and Risk of Undergraduate Students
Author: Nur, Nasheen
Date Created: 2021
Subjects--Topical: Artificial intelligence, Education
Description: The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students’ trends of activities towards success and risk and design intervention methods to improve learning performance and exp...

Title: EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Author: Bulusu, Sai Amrit
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence, Information science
Description: Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwithout considering the user’s interests to personalize the summaries.This prob...

Title: Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models
Author: Nannaware, Smita
Date Created: 2023
Subjects--Topical: Artificial intelligence, Computer science
Description: A restaurant dinner can become a memorable experience due to an unexpected aspect that is appreciated by the customer, such as an origami-making station in the waiting area. If aspects that are atypical for a restaurant experience were known in ad...

Title: Group modeling, recommendation and evaluation in collaborative filtering group-based recommender systems
Author: Najjar, Nadia
Date Created: 2015
Subjects--Topical: Computer science, Artificial intelligence
Description: As the field of recommender systems has grown, more and more attention has been focused on the need forsystems that provide and tailor recommendations to groups of users, as opposed to individuals. We have identified open issues in group-based rec...

Title: Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author: Seyeditabari, Narjessadat
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...

Title: Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Author: Pattnaik, Upasana
Date Created: 2021
Subjects--Topical: Computer science, Artificial intelligence
Description: Feedback driven deep reinforcement learning methodologies are widely favoured approaches to solving artificial intelligence problems. The algorithms navigate complex decision-making tasks without manual state space engineering. Notable problems co...

Title: Online Robot Exploration and Perceptual Coverage of Large-Scale Unknown Environments: Scalable Optimization and Generalized Software Framework
Author: Vutetakis, David
Date Created: 2023
Subjects--Topical: Robotics, Computer science, Artificial intelligence
Description: This dissertation addresses the problem of non-myopic online exploration and visual sensor coverage of large-scale unknown environments using an autonomous robot. We introduce a novel perception roadmap, referred to as the Active Perception Networ...

Title: Rethinking Few-Shot Learning For Speech, Continual Learning And Privacy
Author: Parnami, Archit
Date Created: 2022
Subjects--Topical: Computer science, Artificial intelligence
Description: The availability of large amounts of labeled training data is a major contributing factor (and a bottleneck) to the recent progress in the field of Deep Learning. However, collecting and labeling data is a time consuming and expensive process. Oft...

Title: Robust Audio Classification: Integrating TV Sound Detection
Author: Bourahla, Mohamed Mehdi
Date Created: 2023
Subjects--Topical: Artificial intelligence, Sound
Description: The emergence of voice-controlled systems has transformed the way users engage with technology, providing unparalleled ease and accessibility. Nonetheless, these systems encounter difficulties in distinguishing intended commands from unintentional...

Title: STUDYING THE IMPACT OF AN AI MODEL OF CONCEPTUAL SHIFTS IN A CO-CREATIVE SKETCHING TOOL
Author: Karimi, Pegah
Date Created: 2019
Subjects--Topical: Artificial intelligence
Description: Sketching is a critical part of the early stages of the design process, facilitating ideation and the exploration of conceptual designs. Digital sketching tools have been introduced as a method for augmenting and supporting the sketching process. ...

Title: Snapshot-Driven Deep Reinforcement Learning
Author: Dao, Giang
Date Created: 2022
Subjects--Topical: Artificial intelligence
Description: Deep reinforcement learning (DRL) has suggested many effective solutions to complex problems. Despite the impressive achievements of DRL, we have limited insights into why DRL is effective. DRL is also known as a black-box model with high complexi...