Search
Now showing items 1-20 of 47
Decision Support System for Pull Requests Review Using Path-based Network Portrait Divergence and Visualization
(2022)
Pull requests are widely used in open-source and
industrial environments to contribute and assess contributions.
Unlike the typical code review process, pull requests provide
a more lightweight approach for committing, ...
Multi-Modal Topic Sentiment Analytics for Twitter
(University of Missouri -- Kansas City, 2018)
Sentiment analysis has proven to be very successful in text applications. Social media
is also considered a quite rich source to get data regarding user’s behaviors and
preference. Identifying social context would make ...
A semantic framework for event-driven service composition
(University of Missouri--Kansas City, 2011-09-14)
Service Oriented Architecture (SOA) has become a popular paradigm for designing
distributed systems where loosely coupled services (i.e. computational entities) can be
integrated seamlessly to provide complex composite ...
Software Analytics for Improving Program Comprehension
(2021)
Program comprehension is an essential part of software development and maintenance. Traditional methods of program comprehension, such as reviewing the codebase and documentation, are still challenging for understanding ...
Automated End-to-End Management of the Deep Learning Lifecycle
(2020)
Deep learning has improved the state-of-the-art results in an ever-growing number of domains. This success heavily relies on the development of deep learning models--an experimental, iterative process that produces tens ...
Active Mobile Interface for smart health
(2013)
Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many ...
Situation Aware Mobile Apps Framework
(University of Missouri--Kansas City, 2012-10-03)
Mobile devices, like smart phones or tablets, have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications, or apps, that run on portable computing devices have surged ...
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)
on the 5W + 1H (What, Who, Where, When, Why, and How) format that represents stories in a format that is both easily understandable by humans and accurately generated by the deep learning models. We have used 311 calls and cyber security datasets as case...
Feature-based Analysis for Open Source using Big Data Analytics
(2015)
analytics. ArchStudio tool is used to visualize the features to class mapping functionality. As a case study, Apache Solr and Apache Hadoop HDFS are used to illustrate the automatic discovery of components and features. We demonstrated the scalabilty...
A Graph Analytics Framework for Knowledge Discovery
(2016)
In the current data movement, numerous efforts have been made to convert and normalize
a large number of traditionally structured and unstructured data to semi-structured data
(e.g., RDF, OWL). With the increasing number ...
DL-DI: A Deep Learning Framework for Distributed, Incremental Image Classification
(University of Missouri--Kansas City, 2017)
Deep Learning technologies show promise for dramatic advances in fields such as image
classification and speech recognition. Deep Learning (DL) is a class of Machine Learning algorithms
that involves learning of multiple ...
Topic network: a semantic model for effective learning
(University of Missouri--Kansas City, 2011-06-08)
There has been tremendous interest in sharing and retrieving information through the Web. A
search engine can be used to retrieve relevant web documents. However, the sheer volume of
results returned often requires ...
Shared Context through Multi-Level Attention Transformers for Text Classification
(2021)
Natural language processing (NLP) has seen recent explosive growth by creating artificial intelligence with human-level intelligence. Understanding the context using an attention mechanism could be further improved by ...
Second chance competitive autoencoders for understanding textual data
(2021)
Every day, an enormous amount of text data is produced. Sources of text data include news, social media, emails, text messages, medical reports, scientific publications, and fiction. To keep track of this data, there are categories, keywords, tags...
Design of Multi-modality Deep Fusion Architecture for Deep Acoustic Analytics
(2021)
There is increasing attention for audio classification research to support various emerging applications, including environmental monitoring, health care, and smart city. Audio classification is an important area of research ...
SAF-DL: Semantic Analysis Framework for Deep Learning Open Source Projects
(University of Missouri--Kansas City, 2018)
There are a lot of open source projects available on the internet. Specifically, due to the
increasing interest of Deep Learning (DL), the number of DL open source projects is also
increased. This project is motivated ...
A Semantic Approach for Automatic Recovery of Software Architecture
(2014)
architecture in software development. We applied the approach to recover the architecture of the Hadoop Distributed File System as a case study....
GraphEvo: Evaluating Software Evolution Using Machine Learning Based Call Graph Analytics And Network Portrait Divergence
(2022)
Understanding software evolution is essential for software development tasks, including debugging, maintenance, and testing. Unfortunately, as software changes, it becomes more prominent and more complicated, which makes ...
SigsSpace-Text: Parallel and Distributed Signature Learning in Text Analytics
(University of Missouri--Kansas City, 2016)
Big data analytics uncover hidden patterns and useful information from big data. It is a complex and time-consuming process. Recent advancements in parallel and distributed approaches have led to the evolution of big data ...
A Novel Deep Learning-Based Framework for Context Aware Semantic Segmentation in Medical Imaging
(2023)
force on vessels rupture the newly developed micro-vessels, providing blood and other fluids leak into the retina. It may cause blindness in severe cases if not diagnosed and treated at an early stage. It is critical to find the initial symptoms...