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ORCID35th Australasian Joint Conference on Artificial Intelligence 2022: Perth, WA, Australia
- Haris Aziz, Débora C. Corrêa, Tim French
:
AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13728, Springer 2022, ISBN 978-3-031-22694-6
Computer Vision
- Zachary Todd, Heyang Thomas Li:
Automated On-Vehicle Road Defect Data Collection and Detection. 3-14 - Zainy M. Malakan, Ghulam Mubashar Hassan, Ajmal Mian:
Vision Transformer Based Model for Describing a Set of Images as a Story. 15-28 - Nuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi:
Diverse Audio-to-Video GAN using Multiscale Image Fusion. 29-42 - Peter Zhuowei Gan, Arcot Sowmya, Gelareh Mohammadi:
Zero-shot Personality Perception From Facial Images. 43-56 - Haoxiang Jie, Zuotao Ning, Qixi Zhào, Wei Liu, Jun Hu, Jian Gao:
Multi-view Based Clustering of 3D LiDAR Point Clouds for Intelligent Vehicles. 57-70
Deep Learning
- Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra:
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 73-86 - Anh Duc Bui, Soyeon Caren Han, Josiah Poon:
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation. 87-101 - Max Barker, Meg Willans, Duc-Son Pham, Aneesh Krishna, Mark J. Hackett:
Explainable Detection of Microplastics Using Transformer Neural Networks. 102-115 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. 116-130 - Linzhe Cai, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard, Lien Thuy Nguyen, Thai Doan Chuong:
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning. 131-144 - David Adams:
The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games. 145-160 - Yiqiao Li, Sunny Verma, Shuiqiao Yang, Jianlong Zhou, Fang Chen:
Are Graph Neural Network Explainers Robust to Graph Noises? 161-174
Ethical/Explainable AI
- Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Towards Explainable AutoML Using Error Decomposition. 177-190 - Jianlong Zhou, Zhidong Li, Chun Xiao, Fang Chen:
Does a Compromise on Fairness Exist in Using AI Models? 191-204 - Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon:
Fairness Aware Swarm-based Machine Learning for Data Streams. 205-219 - Jack Hutchison, Duc-Son Pham, Sieteng Soh, Huo-Chong Ling:
Explainable Network Intrusion Detection Using External Memory Models. 220-233
Genetic Algorithms
- Ruwang Jiao, Bing Xue, Mengjie Zhang:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. 237-251 - Anjali de Silva, Aaron Chen, Hui Ma, Mohammad Nekooei:
Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection. 252-265 - Glennn Moy, Slava Shekh:
Evolution Strategies for Sparse Reward Gridworld Environments. 266-278 - Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. 279-293 - Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. 294-307
Knowledge Representation and NLP
- Michael Stewart:
QUARRY: A Graph Model for Queryable Association Rules. 311-324 - Tyler Bikaun, Michael Stewart, Melinda Hodkiewicz:
Using Context-Free Grammar to Generate Synthetic Technical Short Texts. 325-338 - Jet Kye Chong, Débora C. Corrêa:
Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks. 339-352 - Brahmani Nutakki, Akshay Badola, Vineet Padmanabhan:
Systematic Monotonicity and Consistency for Adversarial Natural Language Inference. 353-366 - Alexander Borgida, Enrico Franconi, David Toman, Grant E. Weddell:
Understanding Document Data Sources Using Ontologies with Referring Expressions. 367-380 - Padraig X. Lamont:
Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python. 381-396 - Aaron Hunter:
Belief Revision with Dishonest Reports. 397-410
Machine Learning
- Sayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst:
Active Learning for kNN Using Instance Impact. 413-426 - Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan:
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. 427-441 - Braden Thorne, Thomas Jüngling, Michael Small, Débora C. Corrêa, Ayham A. Zaitouny:
A Novel Approach to Time Series Complexity via Reservoir Computing. 442-455 - Brendon J. Woodford:
Boosted Self-evolving Neural Networks for Pattern Recognition. 456-469 - Eugene Tan, Débora C. Corrêa, Thomas Stemler, Michael Small:
Machine Learning Inspired Fault Detection of Dynamical Networks. 470-483
Medical AI
- Md. Asif Bin Khaled, Md. Junayed Hossain, Saifur Rahman, Jannatul Ferdaus:
Multiclass Classification for GvHD Prognosis Prior to Allogeneic Stem Cell Transplantation. 487-500 - Shaofei Shen, Weitong Chen, Miao Xu:
What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification. 501-515 - Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. 516-529 - Brandon Abela, Jumana Abu-Khalaf, Chi-Wei Robin Yang, Martin Masek, Ashu Gupta:
Automated Radiology Report Generation Using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety. 530-543 - Yiwei Liu, Ling Li, Senjian An, Petra Helmholz, Richard Palmer, Gareth Baynam:
3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis. 544-556 - Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki:
Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes. 557-570 - Justin Bardwell, Ghulam Mubashar Hassan, Farzaneh Salami, Naveed Akhtar:
Cognitive Impairment Prediction by Normal Cognitive Brain MRI Scans Using Deep Learning. 571-584 - Bryce Wohlan, Duc-Son Pham, Kit Yan Chan, Roslyn Ward:
A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation. 585-598 - Rukshani Somarathna, Aaron Quigley, Gelareh Mohammadi:
Multi-componential Emotion Recognition in VR Using Physiological Signals. 599-613 - Md. Asif Bin Khaled, Md. Mahin Rahman, Md. Golam Quaiyum, Sumiya Akter:
Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection. 614-627
Optimization
- Greg Lee, Jordan Pippy, Mark Hobbs:
Optimizing the Feature Set for Machine Learning Charitable Predictions. 631-645 - Binh Thanh Dang, Bach Hoai Nguyen, Peter Andreae:
Operation-based Greedy Algorithm for Discounted Knapsack Problem. 646-660 - Yuguang Zhao, Gang Chen, Hui Ma, Xingquan Zuo, Guanqun Ai:
Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach. 661-674 - Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Anand Paul, Richi Nayak:
Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization. 675-689 - Martin Aleksandrov, Philip Kilby:
Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences. 690-703
Reinforcement Learning
- Wenhao Ma, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin:
Human-Autonomous Teaming Framework Based on Trust Modelling. 707-718 - Poornima Santhosh, Gilad Gressel, Michael C. Darling:
Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets. 719-732 - Muhammad Talha, Aya Hussein, Mohammed Hossny:
Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning. 733-746 - Bowen Chen, Yun Sing Koh, Ben Halstead:
Active Learning Using Difficult Instances. 747-760 - Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt:
Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals. 761-774 - Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen:
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach. 775-788 - Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri:
A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error. 789-799 - Vektor Dewanto, Marcus Gallagher:
Examining Average and Discounted Reward Optimality Criteria in Reinforcement Learning. 800-813
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