FYI, papers related to all kinds of uncertainty are welcome at this series of conferences including imprecise probabilities
IUKM 2023: The Tenth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING
Kanazawa, JAPAN, November 02-04, 2023
Conference website: https://www.jaist.ac.jp/IUKM/IUKM2023/
Submission link: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FIUKM2023
Submission deadline: June 15, 2023 -- extended!
The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application.
The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2023) will be held in Kanazawa, Japan during 02-04 November, 2023, and be jointly organized by Japan Advanced Institute of Science and Technology (JAIST), University of Science (Vietnam National University Ho Chi Minh City), Vietnam, and Osaka University, Japan.
Submission Guidelines:
All papers must be original and not simultaneously submitted to another journal or conference. The authors are invited to submit their full papers by May 15, 2023. The submissions will be peer-reviewed for originality and scientific quality. Authors are requested to prepare their papers in the Springer format. Submissions should not exceed 12 pages and must be submitted as PDF electronically through the conference's CMT submission page.
List of Topics
Relevant topics for the IUKM 2023 Symposium include (but are not limited to) the following:
- Theory and Methodology
Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods
Modelling uncertainty and inconsistency in big data
Learning and reasoning with uncertainty
Logics for reasoning under uncertainty
Uncertainty modelling in machine learning and deep learning
Information fusion and knowledge integration in uncertain environments
Decision making under various types of uncertainty
Aggregation operators for decision making
Copulas for dependence modelling
Granular and soft computing
Computational intelligence
- Application
Data mining and knowledge discovery
Multi-agent reinforcement learning
Ontology engineering and Semantic Web
Privacy preserving data analysis
Intelligent data analysis and modelling
Agents and argumentation
Natural language processing
Medical informatics and bioinformatics
Ranking and recommendation systems
Big data and cloud computing
Social network analysis and mining
Sensor fusion
System identification and modelling
Diagnosis and reliability
Decision support systems
Kansei/affective engineering
Service computing
Engineering management
Supply chain management
Environmental management
Economics and econometrics
Statistics and Applications
Publication
As done in previous editions, the proceedings of IUKM 2023 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Conference.
General Chairs:
Masahiro Inuiguchi (Osaka University, Japan)
Youji Kohda (Japan Advanced Institute of Science and Technology, Japan)
Program Chairs:
Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan)
Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam)
Katsuhiro Honda (Osaka Prefecture University, Japan)