-------- Forwarded Message -------- Subject: [computational.science] Call for Papers: DADA 2019: The 1st IEEE International Workshop on Deep Analysis of Data-Driven Applications (In Conjunction with COMPSAC 2019) Date: Mon, 28 Jan 2019 14:42:05 +0000 From: Namin, Akbar Akbar.Namin@ttu.edu To: computational.science@lists.iccsa.org computational.science@lists.iccsa.org
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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