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36th Australasian Joint Conference on Artificial Intelligence 2023: Brisbane, QLD, Australia - Part II
- Tongliang Liu
, Geoffrey I. Webb
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. Lecture Notes in Computer Science 14472, Springer 2024, ISBN 978-981-99-8390-2
Knowledge Representation and NLP
- Adeline Secolo, Paulo E. Santos
Collaborative Qualitative Environment Mapping. 3-15 - Ruiqi Li, Patrik Haslum, Leyang Cui
Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events. 16-27 - Vimukthini Pinto
The Difficulty of Novelty Detection and Adaptation in Physical Environments. 28-40 - Fedja Hadzic, Maya Krayneva:
Lateral AI: Simulating Diversity in Virtual Communities. 41-53 - Aaron Hunter:
Reports, Observations, and Belief Change. 54-65 - Himath Ratnayake
A Prompting Framework to Enhance Language Model Output. 66-81 - Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam:
Epistemic Reasoning in Computational Machine Ethics. 82-94 - Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski
Using Social Sensing to Validate Flood Risk Modelling in England. 95-106 - Pedro Strecht
Symbolic Data Analysis to Improve Completeness of Model Combination Methods. 107-119 - Ziyu Zhao, Wei Liu
CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs. 120-132 - Zhijian Wu, Jun Li, Jianhua Xu:
S5TR: Simple Single Stage Sequencer for Scene Text Recognition. 133-143
Explainable AI
- Tobias Clement, Truong Thanh Hung Nguyen
Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. 147-159 - Jianan Yang
Concept-Guided Interpretable Federated Learning. 160-172 - Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. 173-184 - Liangping Li, Xun Gong, Chenzhong Wang, Weiji Kong:
Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain. 185-196 - Wenli Yang
Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models. 197-208 - Bo Wang, Jianlong Zhou
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust. 209-220 - Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu:
Interpretable Drawing Psychoanalysis via House-Tree-Person Test. 221-233 - TrungTin Nguyen
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. 234-245
Reinforcement Learning
- Fahimeh Ramezani
Auction-Based Allocation of Location-Specific Tasks. 249-260 - Yasser Mohammad
Generalized Bargaining Protocols. 261-273 - Andrew Chester
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. 274-285 - Dale Grant
Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments. 286-297 - Kiyoshige Garcés
Transformed Successor Features for Transfer Reinforcement Learning. 298-309 - Helani Wickramaarachchi
Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach. 310-324 - Dilini Samarasinghe
Competitive Collaboration for Complex Task Learning in Agent Systems. 325-337 - Martin Aleksandrov
Limiting Inequalities in Repeated House and Task Allocation. 338-349 - Maryem Hussein
Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring. 350-362 - Heming Du, Zi Huang
Toward a Unified Framework for RGB and RGB-D Visual Navigation. 363-375 - Liang Ou, Thomas Tien-Thong Do
Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering. 376-386 - Victoria Huang
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. 387-399
Genetic Algorithm
- Meng Xu
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling. 403-415 - Trevor Londt
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks. 416-428 - Mohamad Rimas
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. 429-440 - Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow, Shadi Abpeikar, Huanneng Qiu, Essam Soliman Debie, Matt Garratt:
Generating Collective Motion Behaviour Libraries Using Developmental Evolution. 441-452 - Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann:
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines. 453-465 - Atiya Masood
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. 466-478 - Gabor Zoltai
A Study of Fitness Gains in Evolving Finite State Machines. 479-490
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