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Intelligent Information and Database Systems

15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Wrocław University of Science and Technology, Wrocław, Poland

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  2. Siridech Boonsang

    1. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

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  3. Hamido Fujita

    1. Iwate Prefectural University Iwate, Iwate, Japan

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  4. Bogumiła Hnatkowska

    1. Wroclaw University of Science and Technology, Wrocław, Poland

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  5. Tzung-Pei Hong

    1. National University of Kaohsiung, Kaohsiung, Taiwan

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  6. Kitsuchart Pasupa

    1. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

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  7. Ali Selamat

    1. Malaysia Japan International Institute of Technology, Kuala Lumpur, Malaysia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13996)

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

Included in the following conference series:

Conference proceedings info: ACIIDS 2023.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Knowledge Integration and Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys

      • Nguyen Hai Chau, Genki Sato, Kazuki Utsugi, Tomoyuki Yamamoto
      Pages 3-13

    3. A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns

      • Marcin Jodłowiec
      Pages 14-26

    4. Obfuscating LLVM IR with the Application of Lambda Calculus

      • Rei Kasuya, Noriaki Yoshiura
      Pages 27-39

    5. Structural and Compact Latent Representation Learning on Sparse Reward Environments

      • Bang-Giang Le, Thi-Linh Hoang, Hai-Dang Kieu, Viet-Cuong Ta
      Pages 40-51

    6. A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis

      • Bernadetta Maleszka
      Pages 52-62

    7. Social Collective Model of Non-internet Social Networks

      • Marcin Maleszka, Sinh Van Nguyen
      Pages 63-73

    8. A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices

      • Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen
      Pages 74-86

    9. Hybrid Approaches to Sentiment Analysis of Social Media Data

      • Thanh Luan Nguyen, Thi Thanh Sang Nguyen, Adrianna Kozierkiewicz
      Pages 87-98

    10. Integrating Ontology-Based Knowledge to Improve Biomedical Multi-Document Summarization Model

      • Quoc-An Nguyen, Khanh-Vinh Nguyen, Hoang Quynh Le, Duy-Cat Can, Tam Doan-Thanh, Trung-Hieu Do et al.
      Pages 99-110

    11. An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion

      • Thuy-Anh Nguyen Thi, Viet-Phuong Ta, Xuan Hieu Phan, Quang Thuy Ha
      Pages 111-120

    12. DCA-Based Weighted Bagging: A New Ensemble Learning Approach

      • Van Tuan Pham, Hoai An Le Thi, Hoang Phuc Hau Luu, Pascal Damel
      Pages 121-132

    13. Deep-Learning- and GCN-Based Aspect-Level Sentiment Analysis Methods on Balanced and Unbalanced Datasets

      • Huyen Trang Phan, Ngoc Thanh Nguyen, Yeong-Seok Seo, Dosam Hwang
      Pages 133-144

    14. Applying the Malmquist Productivity Index Model to Assess the Performance of the Coffee Enterprise in DakLak Vietnam

      • Phan Van-Thanh, Zbigniew Malara, Duong Thi Ai Nhi, Nguyen Ngoc-Thang
      Pages 145-156

    15. A Cluster-Constrained Graph Convolutional Network for Protein-Protein Association Networks

      • Nguyen Bao Phuoc, Duong Thuy Trang, Phan Duy Hung
      Pages 157-169

    16. Fuzzy Logic Framework for Ontology Concepts Alignment

      • Adrianna Kozierkiewicz, Marcin Pietranik, Wojciech Jankowiak
      Pages 170-182

    17. Can Ensemble Calibrated Learning Enhance Link Prediction? A Study on Commonsense Knowledge

      • Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe
      Pages 183-194

    18. Multi-criteria Approaches to Explaining Black Box Machine Learning Models

      • Jerzy Stefanowski
      Pages 195-208

    19. Improving Loss Function for Polyp Detection Problem

      • Anh Tuan Tran, Doan Sang Thai, Bao Anh Trinh, Bao Ngoc Vi, Ly Vu
      Pages 209-220
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Other volumes

  1. Intelligent Information and Database Systems

  2. Intelligent Information and Database Systems

  3. Recent Challenges in Intelligent Information and Database Systems

Keywords

About this book

This two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023.

The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.

Editors and Affiliations

  • Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  • King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Siridech Boonsang, Kitsuchart Pasupa

  • Iwate Prefectural University Iwate, Iwate, Japan

    Hamido Fujita

  • Wroclaw University of Science and Technology, Wrocław, Poland

    Bogumiła Hnatkowska

  • National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  • Malaysia Japan International Institute of Technology, Kuala Lumpur, Malaysia

    Ali Selamat

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