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Now showing items 1-18 of 18
Topic Sentiment Trend Detection and Prediction for Social Media
(2020)
to analyze the social media data from the public, social media news, and newspapers. We have further extended the framework for the successful prediction of topic trends for given the current issues. For the topic trend prediction model, the deep neural...
Second chance competitive autoencoders for understanding textual data
(2021)
for selecting neurons that are eligible to enter the learning competition provided by the SCAT approach. This process prevents neurons from a high-similarity score to more than k/2 other neurons from entering the competition. We hypothesize that eliminating...
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)
the information from all around the globe. Even though there have been efforts to consolidate the information on a large scale like Wikipedia, Wiki Data, etc, they are devoid of any real-time happenings. With the recent advances in Natural Language Processing (NLP...
Deep Open Representative Learning for Image and Text Classification
(2020)
An essential goal of artificial intelligence is to support the knowledge discovery process from data to the knowledge that is useful in decision making. The challenges in the knowledge discovery process are typically due to the following reasons...
Domain Playground: Extending Deep Learning Models to Open Domain Boundaries
(2021)
the limitations of existing domain adaptation approaches. Based on our previous work, Class Representatives (CRs), the DP framework extracts features from pre-trained models and aggregates them to build a model dynamically in the form of discrete representations...
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 ...
AI-based Edge Computing System for Event Based Analytics
(2021)
In recent years, the Internet of Things (IoT) has received lots of attention due to its promising applications. Along with IoT evolution, we have witnessed advanced research for edge computing and its potential benefits ...
Distributed Collaborative Framework for Deep Learning in Object Detection
(2020)
that is designed with a single-class-single-model mechanism for multiple objects in a distributed manner. For useful grouping, we made use of the intraclass correlation from existing models during inferencing. Results from the case studies with Pascal VOC 2007...
Multiple-valued logic: technology and circuit implementation
(2021)
-SPICE tool with a GNRFET model available on the Nanohub website and CNTFET model available from Standford University website....
GraphEvo: Evaluating Software Evolution Using Machine Learning Based Call Graph Analytics And Network Portrait Divergence
(2022)
-source systems to show that it works, (ii) for 9 Java projects and deep learning to make an SDP model, (iii) for 19 Java projects of different sizes and types from GitHub and to add bug information from other places, and (iv) for 627 PRs from 14 Java projects...
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 ...
RUPEE: A Big Data Approach to Indexing and Searching Protein Structures
(2021)
of results to obtain faster response times or suffer from longer response times to provide better quality results. Existing protein structure searches that focus on faster response times often use sequence clustering or depend on other simplifying assumptions...
Class Representative Projection for Text-based Zero-Shot Learning
(2020)
There have been significant advances in supervised machine learning and enormous benefits from deep learning for a range of diverse applications. Despite the success of deep learning, in reality, very few works have shown progress in text...
On-chip Voltage Regulator– Circuit Design and Automation
(2021)
With the increase of density and complexity of high-performance integrated circuits and systems, including many-core chips and system-on-chip (SoC), it is becoming difficult to meet the power delivery and regulation ...
Siamese Network-Based Multi-Modal Deepfake Detection
(2020)
Deep learning widely applies to solve various problems in healthcare, robotics, and computer vision. Presently, an emerging deep learning application called "deepfake" has raised concerns about the multiple types of security ...
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 ...
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, ...
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 ...