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AI 2020: Advances in Artificial Intelligence

33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Marcus Gallagher

    1. School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

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  2. Nour Moustafa

    1. School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

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  3. Erandi Lakshika

    1. School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12576)

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

Included in the following conference series:

Conference proceedings info: AI 2020.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xiv
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  2. Applications

    1. Front Matter

      Pages 1-1
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    2. Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach

      • Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan
      Pages 3-15

    3. Comparing Three Data Representations for Music with a Sequence-to-Sequence Model

      • Sichao Li, Charles Patrick Martin
      Pages 16-28

    4. Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning

      • Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
      Pages 29-41

    5. Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis

      • Tahira Ghani, B. John Oommen
      Pages 42-54

    6. A Novel Face Detector Based on YOLOv3

      • Sabrina Hoque Tuli, Anning Mao, Wanquan Liu
      Pages 55-68

    7. Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study

      • Mauro Vallati, Lukáš Chrpa
      Pages 69-81

    8. A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions

      • Mauro Vallati, Lukáš Chrpa
      Pages 82-93

    9. A Tri-level Programming Framework for Modelling Attacks and Defences in Cyber-Physical Systems

      • Waleed Yamany, Nour Moustafa, Benjamin Turnbull
      Pages 94-109

    10. Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification

      • L. D. C. S. Subhashini, Yuefeng Li, Jinglan Zhang, Ajantha S. Atukorale
      Pages 110-121

  3. Evolutionary Computation

    1. Front Matter

      Pages 123-123
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    2. Minimising Cycle Time in Assembly Lines: A Novel Ant Colony Optimisation Approach

      • Dhananjay Thiruvady, Atabak Elmi, Asef Nazari, Jean-Guy Schneider
      Pages 125-137

    3. An Implementation and Experimental Evaluation of a Modularity Explicit Encoding Method for Neuroevolution on Complex Learning Tasks

      • Yukai Qiao, Marcus Gallagher
      Pages 138-149

    4. A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem

      • Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
      Pages 150-162

    5. Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values

      • Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
      Pages 163-175

    6. A Novel Mutation Operator for Variable Length Algorithms

      • Saskia Van Ryt, Marcus Gallagher, Ian Wood
      Pages 176-188

    7. Improving Distribution-Based Discrete Particle Swarm Optimization Using Lévy Flight

      • Koya Ihara, Shohei Kato
      Pages 189-200

  4. Fairness and Ethics

    1. Front Matter

      Pages 201-201
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    2. Non-monotonic Reasoning for Machine Ethics with Situation Calculus

      • Raynaldio Limarga, Maurice Pagnucco, Yang Song, Abhaya Nayak
      Pages 203-215
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Other volumes

  1. AI 2020: Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.*

The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning.

*The conference was held virtually due to the COVID-19 pandemic.

Editors and Affiliations

  • School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

    Marcus Gallagher

  • School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

    Nour Moustafa, Erandi Lakshika

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