Search results
-
-
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
-
DISFLUENT SPEECH SEGMENTS DETECTION AND REMEDIATION
-
Author
-
Arbajian, Pierre
-
Date Created
-
2019
-
Subjects--Topical
-
Information science, Linguistics
-
Description
-
Speech remediation by identifying those segments which compromise the quality of speech content can be performed by correctly identifying portions of a recording which can be deleted without diminishing from the overall quality of the speech, but ...
-
-
Title
-
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
-
Author
-
Abdullah, Malak
-
Date Created
-
2018
-
Subjects--Topical
-
Computer science
-
Description
-
Social media is growing as a communication medium where people can express online their feelings and opinions on a variety of topics in ways they rarely do in person. Detecting sentiments and emotions in texts have gained a considerable amount of ...
-
-
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 Neural Language Generation with Emotional Intelligence and External Feedback
-
Author
-
Srinivasan, Vidhushini
-
Date Created
-
2018
-
Subjects--Topical
-
Computer science
-
Description
-
Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. Advances in this architecture include introducing reinforcement learning to 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 a Recommender System for Pricing Contemporary Fine Art
-
Author
-
Powell, Laurel
-
Date Created
-
2020
-
Subjects--Topical
-
Computer science
-
Description
-
The art market is a large and growing part of the global economy. However, uncertainty about prices, which can be problematic for many shareholders, can inhibit the growth of this market. This work discusses methods for the development of a knowle...
-
-
Title
-
Discovering Zero-day Attacks By Leveraging Cyber Threat Intelligence
-
Author
-
Niakanlahiji, Amirreza
-
Date Created
-
2019
-
Subjects--Topical
-
Computer science, Information technology
-
Description
-
Cyber attacks cost companies and organizations billions of dollars each year. To alleviate this issue, security professionals and companies continuously attempt to discover new vulnerabilities, and also to share their cyber threat information abou...
-
-
Title
-
Distributed Actionable Pattern Mining
-
Author
-
Bagavathi, Arunkumar
-
Date Created
-
2019
-
Subjects--Topical
-
Computer science
-
Description
-
In recent years, the internet has become faster, computer storage has become larger, data collected by organizations as well as web and social media has grown tremendously. Data Mining tools require adaptations to cope with analyzing massive amoun...
-
-
Title
-
Dynamic View Selection for Human Motion Analysis in Camera Networks
-
Author
-
Spurlock, Scott
-
Date Created
-
2015
-
Subjects--Topical
-
Computer science
-
Description
-
Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
-
-
Title
-
EXAMINING THE EFFECTS OF ICON CHARACTERISTICS ON ICON MENU SEARCH PERFORMANCE
-
Author
-
Smythwood, Kara
-
Date Created
-
2019
-
Subjects--Topical
-
Design, Information science, Aesthetics
-
Description
-
The use of icons is ubiquitous in the computing world of today with icon selection being a typical way to access documents and programs. Icons are used in a variety of ways: search, identification, and selection (mouse, touchpad, etc.). Users sear...
-
-
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
-
EXPLORABILITY, SATISFICING, AND SATISFACTION IN PARAMETER SPACES
-
Author
-
Gonzalez, Alberto
-
Date Created
-
2015
-
Subjects--Topical
-
Computer science
-
Description
-
Many modern software applications have a fairly large set of variables that allow for the dynamic change of content. While a large parameter space provides users with fine-grained control over the content they are creating, even the best designed ...
-
-
Title
-
Emotion Mining From Text and Actionable Pattern Discovery
-
Author
-
Ranganathan, Jaishree
-
Date Created
-
2020
-
Subjects--Topical
-
Computer science
-
Description
-
In the era of Web 2.0, people express their opinion, feelings and thoughts about topics including political and cultural events, natural disasters, products and services, through mediums such as blogs, forums, and micro-blogs, like Twitter. Also, ...
-
-
Title
-
Empirical Methods in an Open Domain Question Answering System
-
Author
-
Gallagher, Sean
-
Date Created
-
2015
-
Subjects--Topical
-
Computer science
-
Description
-
Answering questions effectively involves a complex interconnected set of linguistic and statistical analysis tools, which can be difficult to investigate and evaluate on their own. To evaluate any one of them, I developed two composable, recursive...