学会員メーリングリストアーカイブ (2017年)

[dbjapan]


DBSJのみなさま

九工大の井上創造です.

10月18-20日に北九州で行われるMDAI (Modelling Decisions for AI)のCFPをご案内いたします.投稿は3月24日〆切です.
国際的にもそれなりのランクの会議です.
北九州のローカルな体験ができるソーシャルイベントも,検討中です.

どうぞよろしくお願いいたします.



CFP MDAI2017
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CALL FOR PAPER

14th International Conference on Modeling Decisions for Artificial
Intelligence (MDAI2017), held on October 18-20, 2017, in Kitakyushu,
Fukuoka, Japan.

You can find more details at http://www.mdai.cat/mdai2017

The aim of the MDAI conference series is to provide a forum for
researchers to discuss models for decision and information fusion
(aggregation operators) and their applications to AI.
In MDAI 2017, we encourage the submission of papers on decision
making, information fusion, social networks, data mining, and related
topics.

Applications to data science and privacy technologies, as well as to
real world problems are welcomed.
Topics of interest include, but are not limited to:

A) Methods and Tools:
Information fusion, Aggregation operators,
Utility and decision theory, Model and operator selection,
Learning methods for parameter determination,
Machine learning and statistical learning,
Soft computing,
Optimization methods in AI and decision modeling,
Non-additive measures and integrals

B) Applications:
Data science, Information privacy and security,
Social networks, Data mining, Bibliometry,
Autonomous robots, Entertainment computing,
Evaluation methods, Bioinformatics, Information access

Important Dates

Submission deadline March, 24th 2017
Acceptance notification June, 6th 2017
Final version June, 22nd 2017
Conference October 18-20, 2017

Submission and Publication

Original technical contributions are sought. Contributions will be
selected on the basis of their quality. Papers should not exceed 12
pages in total (using LNCS/LNAI style). Proceedings with accepted
papers will be published in the LNAI/LNCS series (Springer-Verlag) and
distributed at the conference, as done in previous MDAI conferences.
Besides, papers, that according to the evaluation of the referees, are
not suitable for the LNAI but that have some merits will be published
in a USB proceedings and scheduled in the MDAI program.


MDAI 2017 Organizing Committee

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http://sozolab.jp  https://www.facebook.com/sozolab/
Sozo INOUE, Assoc. Prof., Kyushu Inst. Tech.
九州工業大学  井上創造