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Integrated Uncertainty in Knowledge Modelling and Decision Making

10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2–4, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Katsuhiro Honda

    1. Osaka Metropolitan University, Sakai, Japan

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  2. Bac Le

    1. Vietnam National University, Ho Chi Minh City, Vietnam

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  3. Van-Nam Huynh

    1. Japan Advanced Institute of Science and Technology, Nomi, Japan

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  4. Masahiro Inuiguchi

    1. Osaka University, Toyonaka, Japan

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  5. Youji Kohda

    1. Japan Advanced Institute of Science and Technology, Nomi, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14376)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IUKM 2023.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xvii
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Inference Problem in Probabilistic Multi-label Classification

      • Vu-Linh Nguyen, Xuan-Truong Hoang, Van-Nam Huynh
      Pages 3-14

    3. A Federated Learning Model for Linear Fuzzy Clustering with Least Square Criterion

      • Katsuhiro Honda, Ryosuke Amejima
      Pages 15-24

    4. Joint Multiple Efficient Neighbors and Graph Learning for Multi-view Clustering

      • Fatemeh Sadjadi, Vicenç Torra
      Pages 25-36

    5. Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation

      • Yoshifumi Kusunoki
      Pages 37-46

    6. Predicting Stock Price Fluctuations Considering the Sunny Effect

      • Kenta Nakaniwa, Tomoya Matsuki, Makishi Iguchi, Akira Notsu, Katsuhiro Honda
      Pages 47-54

    7. Proposal of a New Classification Method Using Rule Table and Its Consideration

      • Yuichi Kato, Tetsuro Saeki
      Pages 55-66

    8. TouriER: Temporal Knowledge Graph Completion by Leveraging Fourier Transforms

      • Thanh Vu, Huy Ngo, Ngoc-Trung Nguyen, Thanh Le
      Pages 67-78

    9. Machine Learned KPI Goal Preferences for Explainable AI based Production Sequencing

      • Rudolf Felix
      Pages 79-90

    10. Unearthing Undiscovered Interests: Knowledge Enhanced Representation Aggregation for Long-Tail Recommendation

      • Zhipeng Zhang, Yuhang Zhang, Tianyang Hao, Zuoqing Li, Yao Zhang, Masahiro Inuiguchi
      Pages 91-103

    11. A Novel Methodology for Real-Time Face Mask Detection Using PSO Optimized CNN Technique

      • Anand Nayyar, Nhu Gia Nguyen, Sakshi Natani, Ashish Sharma, Sandeep Vyas
      Pages 104-116

    12. A Computer Vision-Based Framework for Behavior Monitoring and Estrus Detection Through Dynamic Behavioral Analysis

      • Panisara Kanjanarut, Warut Pannakkong, Sun Olapiriyakul, Nuttapong Sanglerdsinlapachai, Shoichi Hasegawa
      Pages 117-128

    13. Information Fusion for Enhancing Presentation Attack Detection in Iris Recognition

      • Jittarin Chaivong, Kharidtha Ruangsariyanont, Suradej Duangpummet, Waree Kongprawechnon
      Pages 129-140

    14. Score-Level Fusion Based on Classification Tree for Improving Iris Verification Systems

      • Oranus Kotsuwan, Puntika Leepagorn, Suradej Duangpummet, Jessada Karnjana
      Pages 141-152

    15. Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data

      • Hai Duong, Lam Hoang, Bac Le
      Pages 153-164

  3. Pattern Classification and Data Analysis

    1. Front Matter

      Pages 165-165
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    2. Rockfall Isolation Technique Based on DC-DBSCAN with k-Means Clustering and k-Nearest Neighbors Algorithm

      • Thanakon Augsondit, Thanaphat Khemniwat, Pannathorn Sathirasattayanon, Patthranit Kaewcharuay, Kasorn Galajit, Jessada Karnjana et al.
      Pages 167-178

    3. A Novel Noise Clustering Based on Local Outlier Factor

      • Yukihiro Hamasuna, Yoshitomo Mori
      Pages 179-191

    4. On Some Fuzzy Clustering Algorithms Based on Series Models

      • Tomoki Nomura, Yuchi Kanzawa
      Pages 192-204
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Other volumes

  1. Integrated Uncertainty in Knowledge Modelling and Decision Making

  2. Integrated Uncertainty in Knowledge Modelling and Decision Making

Keywords

About this book

These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.

The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.



Editors and Affiliations

  • Osaka Metropolitan University, Sakai, Japan

    Katsuhiro Honda

  • Vietnam National University, Ho Chi Minh City, Vietnam

    Bac Le

  • Japan Advanced Institute of Science and Technology, Nomi, Japan

    Van-Nam Huynh, Youji Kohda

  • Osaka University, Toyonaka, Japan

    Masahiro Inuiguchi

Bibliographic Information

  • Book Title: Integrated Uncertainty in Knowledge Modelling and Decision Making

  • Book Subtitle: 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2–4, 2023, Proceedings, Part II

  • Editors: Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-46781-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-46780-6Published: 27 October 2023

  • eBook ISBN: 978-3-031-46781-3Published: 26 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 375

  • Number of Illustrations: 41 b/w illustrations, 63 illustrations in colour

  • Topics: Artificial Intelligence, Mathematics of Computing, Information Systems and Communication Service, Algorithm Analysis and Problem Complexity

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