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ORCID33rd Australasian Joint Conference on Artificial Intelligence 2020: Canberra, ACT, Australia
- Marcus Gallagher
, Nour Moustafa, Erandi Lakshika:
AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings. Lecture Notes in Computer Science 12576, Springer 2020, ISBN 978-3-030-64983-8
Applications
- Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan:
Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach. 3-15 - Sichao Li, Charles Patrick Martin:
Comparing Three Data Representations for Music with a Sequence-to-Sequence Model. 16-28 - Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu:
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. 29-41 - Tahira Ghani, B. John Oommen:
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis. 42-54 - Sabrina Hoque Tuli, Anning Mao, Wanquan Liu:
A Novel Face Detector Based on YOLOv3. 55-68 - Mauro Vallati, Lukás Chrpa:
Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study. 69-81 - Mauro Vallati, Lukás Chrpa:
A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions. 82-93 - Waleed Yamany, Nour Moustafa, Benjamin P. Turnbull:
A Tri-level Programming Framework for Modelling Attacks and Defences in Cyber-Physical Systems. 94-109 - L. D. C. S. Subhashini, Yuefeng Li, Jinglan Zhang, Ajantha S. Atukorale:
Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification. 110-121
Evolutionary Computation
- Dhananjay R. Thiruvady, Atabak Elmi, Asef Nazari, Jean-Guy Schneider:
Minimising Cycle Time in Assembly Lines: A Novel Ant Colony Optimisation Approach. 125-137 - Yukai Qiao, Marcus Gallagher:
An Implementation and Experimental Evaluation of a Modularity Explicit Encoding Method for Neuroevolution on Complex Learning Tasks. 138-149 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem. 150-162 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. 163-175 - Saskia Van Ryt, Marcus Gallagher, Ian A. Wood:
A Novel Mutation Operator for Variable Length Algorithms. 176-188 - Koya Ihara, Shohei Kato:
Improving Distribution-Based Discrete Particle Swarm Optimization Using Lévy Flight. 189-200
Fairness and Ethics
- Raynaldio Limarga, Maurice Pagnucco, Yang Song, Abhaya Nayak:
Non-monotonic Reasoning for Machine Ethics with Situation Calculus. 203-215 - Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu:
Building Fair Predictive Models. 216-229 - Ajit Narayanan:
Can Lethal Autonomous Robots Learn Ethics? 230-240
Games and Swarms
- Daniel Hao, Penny Sweetser, Matthew Aitchison:
Designing Curriculum for Deep Reinforcement Learning in StarCraft II. 243-255 - Yinheng Chen, Matthew Aitchison, Penny Sweetser:
Improving StarCraft II Player League Prediction with Macro-Level Features. 256-268 - Bradley Fraser, Giuseppe Laurito:
Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems? 269-280 - Kathryn Kasmarik, Shadi Abpeikar, Md Mohiuddin Khan, Noha Khattab, Michael Barlow, Matt Garratt:
Autonomous Recognition of Collective Behaviour in Robot Swarms. 281-293 - Alvaro Gunawan, Ji Ruan, Michael Thielscher, Ajit Narayanan:
Exploring a Learning Architecture for General Game Playing. 294-306 - Dongmo Zhang:
Behavioural Equivalence of Game Descriptions. 307-319
Machine Learning
- Zhuoyun Ao, Martin Oxenham, Mark Nelson:
Classifiers for Regulatory Feedback Networks Using AB-Divergences. 323-335 - Zhenisbek Assylbekov, Alibi Jangeldin:
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. 336-346 - Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw:
An Information-Theoretic Perspective on Overfitting and Underfitting. 347-358 - Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann:
Self-organising Neural Network Hierarchy. 359-370 - Mattis Hartwig, Ralf Möller:
How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes? 371-382 - Seham Hussein, Michael Barlow, Erandi Lakshika:
Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. 383-394 - Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson:
Unsupervised One-Shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture. 395-406 - Baihan Lin:
Online Semi-supervised Learning in Contextual Bandits with Episodic Reward. 407-419 - Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong:
An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. 420-432 - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification. 433-444 - Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo:
A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. 445-457 - Dulakshi Wannigamage, Michael Barlow, Erandi Lakshika, Kathryn E. Kasmarik:
Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. 458-469
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