- 2024
- Tongliang Liu
, Geoffrey I. Webb, Lin Yue, Dadong Wang:
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 [contents] - 2023
- Martin Aleksandrov:
Limiting Inequalities in Repeated House and Task Allocation. AI (2) 2023: 338-349 - Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. AI (2) 2023: 274-285 - Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja:
Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. AI (2) 2023: 147-159 - Heming Du, Zi Huang, Scott Chapman, Xin Yu:
Toward a Unified Framework for RGB and RGB-D Visual Navigation. AI (2) 2023: 363-375 - 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. AI (2) 2023: 453-465 - Kiyoshige Garcés, Junyu Xuan, Hua Zuo:
Transformed Successor Features for Transfer Reinforcement Learning. AI (2) 2023: 298-309 - Dale Grant, Jaime Andres Garcia, William L. Raffe:
Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments. AI (2) 2023: 286-297 - Fedja Hadzic, Maya Krayneva:
Lateral AI: Simulating Diversity in Virtual Communities. AI (2) 2023: 41-53 - Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma:
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. AI (2) 2023: 387-399 - Aaron Hunter:
Reports, Observations, and Belief Change. AI (2) 2023: 54-65 - Maryem Hussein, Marwa Keshk, Aya Hussein:
Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring. AI (2) 2023: 350-362 - Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel T. P. Williams:
Using Social Sensing to Validate Flood Risk Modelling in England. AI (2) 2023: 95-106 - Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow, Shadi Abpeikar, Huanneng Qiu, Essam Soliman Debie, Matt Garratt:
Generating Collective Motion Behaviour Libraries Using Developmental Evolution. AI (2) 2023: 441-452 - Liangping Li, Xun Gong, Chenzhong Wang, Weiji Kong:
Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain. AI (2) 2023: 185-196 - Ruiqi Li, Patrik Haslum, Leyang Cui:
Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events. AI (2) 2023: 16-27 - Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam:
Epistemic Reasoning in Computational Machine Ethics. AI (2) 2023: 82-94 - Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei:
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks. AI (2) 2023: 416-428 - Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. AI (2) 2023: 466-478 - Yasser Mohammad:
Generalized Bargaining Protocols. AI (2) 2023: 261-273 - TrungTin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi:
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. AI (2) 2023: 234-245 - Liang Ou, Thomas Tien-Thong Do, Xuan-The Tran, Daniel Leong, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin:
Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering. AI (2) 2023: 376-386 - Vimukthini Pinto, Chathura Nagoda Gamage, Matthew Stephenson, Jochen Renz:
The Difficulty of Novelty Detection and Adaptation in Physical Environments. AI (2) 2023: 28-40 - Fahimeh Ramezani, Brendan Sims, Haris Aziz:
Auction-Based Allocation of Location-Specific Tasks. AI (2) 2023: 249-260 - Himath Ratnayake, Can Wang:
A Prompting Framework to Enhance Language Model Output. AI (2) 2023: 66-81 - Mohamad Rimas, Qi Chen, Mengjie Zhang:
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. AI (2) 2023: 429-440 - Dilini Samarasinghe, Michael Barlow, Erandi Lakshika:
Competitive Collaboration for Complex Task Learning in Agent Systems. AI (2) 2023: 325-337 - Adeline Secolo, Paulo E. Santos, Patrick Doherty, Zoran Sjanic:
Collaborative Qualitative Environment Mapping. AI (2) 2023: 3-15 - Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. AI (2) 2023: 173-184 - Pedro Strecht, João Mendes-Moreira, Carlos Soares:
Symbolic Data Analysis to Improve Completeness of Model Combination Methods. AI (2) 2023: 107-119
