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ORCID37th Australasian Joint Conference on Artificial Intelligence 2024: Melbourne, VIC, Australia - Part II
- Mingming Gong
, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang:
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15443, Springer 2025, ISBN 978-981-96-0350-3
Reinforcement Learning and Robotics
- Kishan R. Nagiredla, Buddhika Laknath Semage, Arun Kumar Anjanapura Venkatesh, Thommen George Karimpanal, Santu Rana:
ECoDe: A Sample-Efficient Method for Co-design of Robotic Agents. 3-15 - Priyam Dalmia, Joseph West:
Causally Driven Hierarchies for Feudal Multi-agent Reinforcement Learning. 16-25 - Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo:
Graceful Task Adaptation with a Bi-hemispheric RL Agent. 26-38 - Wilkins Leong, Julie Porteous, John Thangarajah:
Towards Virtual Character Control via Partial Story Sifting. 39-51 - Yifei Chen, Lambert Schomaker, Francisco Cruz:
Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks Using Adaptive Potential Functions. 52-64 - Luc Stiemer, Mario Martinez Groves-Raines, Louisa Wood, Abdulghani Mohamed, Timothy Wiley:
Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-inspired Wing. 65-76 - Riku Suzuki, Atsuyoshi Nakamura:
Posterior Tracking Algorithm for Multi-objective Classification Bandits. 77-91
Learning Algorithms
- Ben Harwood, Amir Dezfouli, Iadine Chades, Conrad Sanderson:
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. 95-106 - Kenyon Ng, Susan Wei:
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference. 107-136 - Thuy-Trang Vu, Shahram Khadivi, Mahsa Ghorbanali, Dinh Q. Phung, Gholamreza Haffari:
Active Continual Learning: On Balancing Knowledge Retention and Learnability. 137-150 - Enes Makalic, Daniel F. Schmidt:
Bayesian Parametric Proportional Hazards Regression with the Fused Lasso. 151-161 - Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Revisiting Bagging for Stochastic Algorithms. 162-173 - Sandeep Suresh, Barry Drake:
Sampling of Large Probabilistic Graphical Models Using Arithmetic Circuits. 174-187 - Mohamad Rimas, Qi Chen, Mengjie Zhang:
Importance-Based Pruning for Genetic Programming Based Symbolic Regression. 188-201 - Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek:
Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold? 202-213 - Eva Feng, Enrico Franconi, Peter F. Patel-Schneider, David Toman, Grant E. Weddell:
Equality Generating Dependencies in Description Logics via Path Agreements. 214-227
Computer Vision
- Zuo Huang, Richard O. Sinnott, Krista A. Ehinger:
End-to-End Truck Speed Detection Using Deep Multi-task Learning. 231-242 - Yue Yin, Chris McCarthy, Dana Rezazadegan:
Real-Time Lightweight 3D Hand-Object Pose Estimation Using Temporal Graph Convolution Networks. 243-255 - Vernon Asuncion, Yan Zhang:
New Perspectives for the Deep Learning Based Photography Aesthetics Assessment. 256-268 - Yifan Wang, Chaoyi Zhang, Heng Wang, Tom Weidong Cai:
3DSSG-Cap: A Caption Enhanced Dataset for 3D Visual Grounding. 269-280 - Lianyang Ma, Yu Yao, Tao Liang, Tongliang Liu:
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos. 281-297 - Jianjiu Ou, Jianlong Zhou, Yifei Dong, Fang Chen:
Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks. 298-311 - Filippos Gouidis, Konstantinos E. Papoutsakis, Theodore Patkos, Antonis A. Argyros, Dimitris Plexousakis:
Enabling Visual Intelligence by Leveraging Visual Object States in a Neurosymbolic Framework - A Position Paper. 312-320
AI for Healthcare
- Enqi Liu, Lin Zhang, Islam Alzoubi, Haneya Fuse, Manuel B. Graeber, Xiuying Wang:
A Self-adaptive Framework for Efficient Cell Detection and Segmentation in Histopathological Images with Minimal Expert Input. 323-334 - Peijie Xu, Andy Song, Ke Wang:
Learning Low-Energy Consumption Obstacle Detection Models for the Blind. 335-347 - Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long:
Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions. 348-362 - Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys:
Online Machine Learning for Real-Time Cell Culture Process Monitoring. 363-375 - Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, Feng Xia:
Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection. 376-389 - Chengyao Xie, Wenhao Zhou, Ciyuan Peng, Azadeh Noori Hoshyar, Chengpei Xu, Usman Naseem, Feng Xia:
Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection. 390-403 - Md Geaur Rahman, Sabih ur Rehman, Shanna Fealy, Johan Sebastian Ramirez Vallejo, Aayush Fuskelay, Mohammad Ali Moni:
Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning. 404-416 - Sheng Chen, Zihao Tang, Xinyi Wang, Chenyu Wang, Tom Weidong Cai:
Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning. 417-431 - Abdul Qayyum, Moona Mazher, Angela W. C. Lee, José Alonso Solís-Lemus, Imran Razzak, Steven A. Niederer:
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. 432-442 - Jiaying Ying, Xin Shen, Xin Yu:
Vision-Based Abnormal Action Dataset for Recognising Body Motion Disorders. 443-455
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