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DADA 2019: The 1st IEEE International Workshop on Deep Analysis of
Data-Driven Applications,
in conjunction with the EEE Signature Conference on Computer
Software and Applications (COMPSAC 2019),
Milwaukee, Wisconsin, USA, July 15 - 19.
https://ieeecompsac.computer.org/2019/dada/
Call for Papers:
The DADA workshop aims to foster deep learning approaches to
data-driven applications. DADA creates a venue for researchers
from academia and industry to share their intellectual ideas with
respect to challenges, novel problems, innovative applications,
and creative solutions regarding the application of deep learning
to scientific and industrial problems.
Theme and Scope of the Workshop:
AI-based application systems are becoming the mainstream for the
software industry. The recent advancement in big data generation
and management has created an avenue for decision makers to
utilize these huge data for different purposes. Application
developers have utilized traditional machine learning techniques
for a long time. However, with the advancement of deep learning
algorithms, developers and decision makers are able to explore and
learn more about data and their hidden features. The new trends of
practices in developing data-driven application systems and
decision making algorithms seek adaptation of deep learning
algorithms and techniques in many application domains including
software systems. An interesting aspect of deep learning
algorithms to such problems is that new challenging problems and
how deep learning algorithms can be refined to address the
discovered problems are explored using deep learning algorithms.
Researchers and practitioners from all over the world, from both
academia and industry, working in the area of data-driven
application domains using deep learning approaches are invited to
discuss the state of the art solutions, novel issues, recent
developments, applications, methodologies, techniques, experience
reports, and tools for the development and use of deep learning.
Topics of interest include, but are not limited to the following:
* Intelligent software development
* Smart business and intelligent financial systems and
applications
* Time series modeling using LSTM
* Generative adversarial modeling
* Natural language processing
* Security and privacy
Submission Deadline:
April 15, 2019: Workshop papers due
May 1, 2019: Workshop papers notifications
May 17, 2019 – Camera ready submissions and
For more information regarding this workshop and submission
guideline, please visit the following Weblink:
https://ieeecompsac.computer.org/2019/dada/
Chair of the Workshop:
Akbar Namin - Texas Tech University
Akbar Siami Namin, Ph.D.
AdVanced Empirical Software Testing and Analysis (AVESTA) Research
Group
Department of Computer Science
Texas Tech University
TX - USA
Email:
akbar.namin@ttu.edu
Web page:
http://www.myweb.ttu.edu/asiamina/
Web page:
http://www.depts.ttu.edu/cs/research/avesta/
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