MIWAI'2015

The 9th Multi-Disciplinary International Workshop on Artificial Intelligence 2015

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Call for Papers


TOPICS

Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to:

THEORY, METHODS AND TOOLS:

Cognitive Science Multi-agent Systems
Computational Philosophy Natural Language Processing
Computational Intelligence Planning and Scheduling
Computer Vision Robotics
Evolutionary Computing Speech Recognition
Game Theory Uncertainty in AI
Knowledge Representation and Reasoning Vision
Machine Learning Web and AI

APPLICATIONS:

Ambient Intelligence Privacy
Big Data Recommender Systems
Biometrics Semantic Web
Bioinformatics Security
Chatbots Social Networking
Decision Support Systems Software Engineering
E-commerce Spam Filtering
Industrial Applications of AI Surveillance
Knowledge Management Telecommunications and Web Services

1st Call for Papers can be downloaded pdf or rft file.


PROCEEDINGS

MIWAI'15 Proceedings will be published in Springer LNAI (Lecture Notes in Artificial Intelligence).


A selection of the best papers will be invited to be revised and extended for the post-conference publication in a Special Issue of IJAIT (International Journal of Artificial Intelligence Tools).


Two EI-indexed Chinese journals which agree to publish some selected good papers of MIWAI2015 to Journal of South China University of Technology (Natural Science Edition) and Journal of Sichuan University: Engineering Science Edition.


SUBMISSION GUIDELINES

Submission link: https://www.easychair.org/conferences/?conf=miwai2015

Both research and application papers are solicited. All submitted papers will be carefully peer-reviewed on the basis of technical quality, relevance, significance, and clarity.

Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited. Springer-Verlag author instructions are available at: http://www.springer.com/lncs

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