MIWAI: Multi-disciplinary Trends in Artificial Intelligence

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
MIWAI 2024 17th Multi-Disciplinary International Conference on Artificial Intelligence
Nov 11, 2024 - Nov 15, 2024 Pattaya City, Thailand Jul 1, 2024
MIWAI 2023 16th Multi-Disciplinary International Conference on Artificial Intelligence
Jul 21, 2023 - Jul 22, 2023 Hyderabad, India Mar 17, 2023
MIWAI 2022 The 15th Multi-Disciplinary International Conference on Artificial Intelligence 2022
Nov 17, 2022 - Nov 19, 2022 Virtual Conference Apr 30, 2022
MIWAI 2021 The 14th Multi-Disciplinary International Conference on Artificial Intelligence 2021
Jul 2, 2021 - Jul 3, 2021 Korea (Virtual Conference) Mar 19, 2021
MIWAI 2019 MULTI-DISCIPLINARY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE
Nov 17, 2019 - Nov 19, 2019 KL, Malaysia Jul 29, 2019
MIWAI 2018 The 12th Multi-Disciplinary International Conference on Artificial Intelligence
Nov 18, 2018 - Nov 20, 2018 Hanoi, Vietnam Jul 1, 2018
MIWAI 2017 The 11th Multi-disciplinary International Workshop on Artificial Intelligence
Nov 20, 2017 - Nov 22, 2017 Brunei Jul 12, 2017
MIWAI 2016 The 10th Multi-disciplinary International Workshop on Artificial Intelligence
Dec 7, 2016 - Dec 9, 2016 Chiang Mai, Thailand Aug 22, 2016
MIWAI 2015 The 9th Multi-Disciplinary International Workshop on Artificial Intelligence
Nov 13, 2015 - Nov 15, 2015 Fuzhou, Fujian Province, China Jul 20, 2015
MIWAI 2013 The 7th Multi-Disciplinary International Workshop on Artificial Intelligence
Dec 9, 2013 - Dec 11, 2013 Krabi, Thailand Jul 31, 2013
MIWAI 2012 The 6th Multi-Disciplinary International Workshop on Artificial Intelligence 2012
Dec 26, 2012 - Dec 28, 2012 Ho Chi Minh City, Vietnam Aug 6, 2012
MIWAI 2011 The 5th Multi-disciplinary International Workshop On Artificial Intelligence
Dec 8, 2011 - Dec 9, 2011 Hyderabald, India Jul 7, 2011
 
 

Present CFP : 2024

The Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), formerly called The Multi-disciplinary International Workshop on Artificial Intelligence, is a well established scientific venue in the field of artificial Intelligence. MIWAI was established more than 16 years. This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of conferences are:

* To provide a meeting place for AI researchers and practitioners.
* To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.
* To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.

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

APPLICATIONS

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


SUBMISSION GUIDELINES

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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