
AI 2020: Advances in Artificial Intelligence
33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings
Editors: Gallagher, Marcus, Moustafa, Nour, Lakshika, Erandi (Eds.)
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- About this book
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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.
- Table of contents (37 chapters)
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Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach
Pages 3-15
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Comparing Three Data Representations for Music with a Sequence-to-Sequence Model
Pages 16-28
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Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning
Pages 29-41
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Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis
Pages 42-54
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A Novel Face Detector Based on YOLOv3
Pages 55-68
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Table of contents (37 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- AI 2020: Advances in Artificial Intelligence
- Book Subtitle
- 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings
- Editors
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- Marcus Gallagher
- Nour Moustafa
- Erandi Lakshika
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 12576
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-64984-5
- DOI
- 10.1007/978-3-030-64984-5
- Softcover ISBN
- 978-3-030-64983-8
- Edition Number
- 1
- Number of Pages
- XIV, 472
- Number of Illustrations
- 53 b/w illustrations, 84 illustrations in colour
- Topics