This could be interesting for some of us.
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Dear Colleagues,
International Journal of Approximate Reasoning is currently
running a Special Issue entitled "Knowledge Enhanced Data
Analytics for Autonomous Decision Making":
https://www.journals.elsevier.com/international-journal-of-approximate-reasoning/call-for-papers/knowledge-enhanced-data-analytics
We would like to invite you to submit your research contribution
to this special issue.
AIM AND SCOPE
In today's world, we are aware that how breakthroughs in data
analytics and high-performance computing has made society-changing
AI applications in different areas. One particular stand out
success relates to learning from a massive amount of data in real
time to quickly identify newly emerging unknown patterns. However,
successful decision-making analysis must combine the best
qualities of both human analysts and computers, while the
challenge is how to structure relevant and reliable knowledge and
incorporate them as part of decision analytics. On the one hand,
decision making needs the context, organization, and consistency
that analytics by itself does not provide. There is increasing
recognition for utilizing knowledge whenever it is available or
can be created purposefully. On the other hand, autonomous
decision-making and the black-box design of machine learning make
the adoption of AI systems complicated and has led to resurgence
in interest in explainability of AI systems.
This Special Issue aims to demonstrate the indispensable role of
business, data and methodological know-how in helping
decision-making and how to use and exploit the prior knowledge to
enhance data analytic for autonomous decision-making.
THEME
We are seeking both conceptual and empirical papers offering new
insights and contribution to the development of data analytic
algorithms and systems for autonomous decision-making, which focus
on the following topics (but are not limited to) which demonstrate
the role of exploiting the knowledge to enhance data analytics:
* Application that have limited data;
* Applications require safety or stability guarantees;
* Applications while large amounts of quality training data are
unavailable;
* Application while the objects to be recognized are complex,
(e.g., implicit entities and highly subjective content);
* Applications need to use complementary or related data in
multiple modalities/media;
* Enhancing the capability in handling uncertainty;
* Enhancing transparency, interpretability and explainability;
* Reducing the complexity of model architecture in time and space;
* Enhancing the capability to avoid social discrimination and
unfair treatment;
* Enhancing automated decision making capability and performance;
* Enhancing reliability and integrity of data analytics.
This Special Issue will open to all submissions which are original
and not previously published or currently submitted for journal
publication elsewhere, must fit this special issue theme and must
clearly delineate the role of knowledge in enhancing the data
analytics for decision making purpose. We encourage researchers to
innovate new solutions to the key problems in this emerging field.
In general, we do not accept survey papers.
All submissions deemed suitable to be sent for peer review will be
reviewed by at least two independent reviewers. Once your
manuscript is accepted, it will go into production, and will be
simultaneously published in the current regular issue and pulled
into the online Special Issue. Articles from this Special Issue
will appear in different regular issues of the journal, though
they will be clearly marked and branded as Special Issue articles.
INSTRUCTION FOR SUBMISSION
Submissions must be directly sent via the IJAR submission web site
at
https://www.journals.elsevier.com/international-journal-of-approximate-reasoning.
Paper submissions must conform to the layout and format guidelines
in the IJAR. Instructions for Authors are in:
https://www.elsevier.com/journals/international-journal-of-approximate-reasoning/0888-613x/guide-for-authors.
During the submission process, please select the category of SI:
KEDA for DM as the article type.
IMPORTANT DATES
Manuscript Due: April 30, 2020
First notification: July 30, 2020
Submission of revised manuscript: September 15, 2020
Final notification: October 31, 2020
Submission of final papers: November 20, 2020
Publication Date: to be scheduled in 2021
GUEST EDITORS
Dr Jun Liu
Ulster University, United Kingdom
Email:
j.liu@ulster.ac.uk
Dr Rosa M Rodr�guez
University of Jaen, Spain
Email:
rmrodrig@ujaen.es
Prof. Hui Wang
Ulster University, United Kingdom
Email:
h.wang@ulster.ac.uk
SUBMISSION PLAN
To aid planning and organization (although not compulsory), please
e-mail to Guest Editors a short note of your intention to submit a
paper as early as possible by 18th of February 2020 including the
following items:
- author information
- a tentative title
- abstract, and
- an estimated number of pages
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