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AI 2023: Advances in Artificial Intelligence

36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Tongliang Liu

    1. The University of Sydney, Darlington, Australia

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  2. Geoff Webb

    1. Monash University, Clayton, Australia

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  3. Lin Yue

    1. The University of Newcastle, Callaghan, Australia

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  4. Dadong Wang

    1. CSIRO Data61, Sydney, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14472)

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

Included in the following conference series:

Conference proceedings info: AI 2023.

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xxi
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  2. Knowledge Representation and NLP

    1. Front Matter

      Pages 1-1
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    2. Collaborative Qualitative Environment Mapping

      • Adeline Secolo, Paulo E. Santos, Patrick Doherty, Zoran Sjanic
      Pages 3-15

    3. Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events

      • Ruiqi Li, Patrik Haslum, Leyang Cui
      Pages 16-27

    4. The Difficulty of Novelty Detection and Adaptation in Physical Environments

      • Vimukthini Pinto, Chathura Gamage, Matthew Stephenson, Jochen Renz
      Pages 28-40

    5. Lateral AI: Simulating Diversity in Virtual Communities

      • Fedja Hadzic, Maya Krayneva
      Pages 41-53

    6. Reports, Observations, and Belief Change

      • Aaron Hunter
      Pages 54-65

    7. A Prompting Framework to Enhance Language Model Output

      • Himath Ratnayake, Can Wang
      Pages 66-81

    8. Epistemic Reasoning in Computational Machine Ethics

      • Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam
      Pages 82-94

    9. Using Social Sensing to Validate Flood Risk Modelling in England

      • Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel Williams
      Pages 95-106

    10. Symbolic Data Analysis to Improve Completeness of Model Combination Methods

      • Pedro Strecht, João Mendes-Moreira, Carlos Soares
      Pages 107-119

    11. CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs

      • Ziyu Zhao, Wei Liu, Tim French, Michael Stewart
      Pages 120-132

    12. S5TR: Simple Single Stage Sequencer for Scene Text Recognition

      • Zhijian Wu, Jun Li, Jianhua Xu
      Pages 133-143

  3. Explainable AI

    1. Front Matter

      Pages 145-145
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    2. Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction

      • Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
      Pages 147-159

    3. Concept-Guided Interpretable Federated Learning

      • Jianan Yang, Guodong Long
      Pages 160-172

    4. Systematic Analysis of the Impact of Label Noise Correction on ML Fairness

      • Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
      Pages 173-184

    5. Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain

      • Liangping Li, Xun Gong, Chenzhong Wang, Weiji Kong
      Pages 185-196

    6. Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models

      • Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai
      Pages 197-208

    7. Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust

      • Bo Wang, Jianlong Zhou, Yiqiao Li, Fang Chen
      Pages 209-220
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Other volumes

  1. AI 2023: Advances in Artificial Intelligence

  2. AI 2023: Advances in Artificial Intelligence

Keywords

About this book

This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023.

The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..




Editors and Affiliations

  • The University of Sydney, Darlington, Australia

    Tongliang Liu

  • Monash University, Clayton, Australia

    Geoff Webb

  • The University of Newcastle, Callaghan, Australia

    Lin Yue

  • CSIRO Data61, Sydney, Australia

    Dadong Wang

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