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KB4DL: Building a Knowledge Base for Deep Learning
(University of Missouri -- Kansas City, 2019)
Deep Learning (DL) has received considerable attention from the AI community. However, we
suffer from the lack of ability in interpretation and annotation of the outcomes from
extensive and exhausting learning efforts. ...
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 threats that may pose...
Domain Playground: Extending Deep Learning Models to Open Domain Boundaries
(2021)
Deep learning models have demonstrated monumental performance in classification tasks but require extensive data and training procedures to converge. Additionally, the performance is only guaranteed when there is no domain gap (e...
SigsSpace-Text: Parallel and Distributed Signature Learning in Text Analytics
(University of Missouri--Kansas City, 2016)
extension, the proposed SigSpace-Text approach brings vital, practical information to signature learning approaches on several text classification tasks. The SigSpace-Text model supports incremental, distributed, and parallel learning using big data...
MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection
(University of Missouri -- Kansas City, 2018)
Understanding users’ context is essential in emerging mobile sensing applications, such
as Metal Detector, Glint Finder, Facefirst. Over the last decade, Machine Learning (ML)
techniques have evolved dramatically for ...
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 ...
AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks
(2020)
techniques. We have conducted our extensive experiments with benchmark datasets, including Urbansound8k, ESC-50, and ESC-10, emotion datasets. We have obtained state-of-the-art results by outperforming the previous solutions. The experiment results show...
3D Hand Pose Estimation Via a Lightweight Deep Learning Model
(University of Missouri -- Kansas City, 2018)
Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD
images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or
IR illumination-based methods to capture the ...
Context Based Multi-Image Visual Question Answering (VQA) in Deep Learning
(University of Missouri--Kansas City, 2017)
Image question answering has gained huge popularity in recent years due to
advancements in Deep Learning technologies and computer processing hardware which are
able to achieve higher accuracies with faster processing ...
SigSpace – Class-Based Feature Representation for Scalable and Distributed Machine Learning
(University of Missouri–Kansas City, 2016)
In the era of big data, it is essential to explore the opportunities in discovering knowledge
from big data. However, traditional machine learning approaches are not well fit
to analyze the full value of big data. ...
Automated End-to-End Management of the Deep Learning Lifecycle
(2020)
other essential tasks, such as model sharing and deployment. In this dissertation, we present a software system to facilitate and accelerate the deep learning lifecycle, named ModelKB. ModelKB can \textit{automatically} manage the modeling lifecycle end...
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 ...
Modeling and simulation of silicon photonics based optical ring resonator biosensor
(2021)
of the resonating light with biosamples such as blood, serum, salvia, bacteria, protein or DNA traits present on the surface of the ring resonator. One of the most leading causes of death in modern times is different types of cancer. American Cancer Society...
Multi-modal emotion detection using deep learning for interpersonal communication analytics
(2019)
In recent years, deep learning technologies have been increasingly applied to generate meaningful data for advanced research in humanities and sciences. Interpersonal communication skills are crucial to success in science. ...
Distributed RDF query processing and reasoning for big data / linked data
(2014-08-27)
The Linked Data Movement is aimed at converting unstructured and semi-structured
data on the documents to semantically connected documents called the "web of data." This is
based on Resource Description Framework (RDF) ...
Shared Context through Multi-Level Attention Transformers for Text Classification
(2021)
architecture for scalable multi-fold text classification that is an extension of BERT by sharing context across abstraction levels of domains. Four types of deep learning models (BERT flat, BERT hierarchical, BERT hierarchical tuned, BERT Feature extracted...
Context-Aware Adaptive Model for Smart Energy
(2013)
of households and electricity usage, and predict present and future energy demands. The model iteratively obtains patterns from matching trends of energy consumption and expenditures in US households over the years. We use this behavior as positive feedback...
H3DNET: A Deep Learning Framework for Hierarchical 3D Object Classification
(University of Missouri--Kansas City, 2017)
Deep learning has received a lot of attention in the fields such as speech recognition and
image classification because of the ability to learn multiple levels of features from raw data.
However, 3D deep learning is ...
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)
, ELECTRA, and AllenNLP Transformer QA with the datasets - CVE, NVD, SQuAD v1.1, and SQuAD v2.0, and compared them with custom annotations for identifying 5W + 1H. We've presented the performance and accuracy of both approaches in the results section. Our...
On-chip Voltage Regulator– Circuit Design and Automation
(2021)
-level, one of the significant steps in the flow. We presented a novel, efficient circuit synthesis flow based on simulation and learning-based optimization methods. The proposed methodology has two phases: the learning phase and the evaluation phase. Random...