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ORCID36th Australasian Joint Conference on Artificial Intelligence 2023: Brisbane, QLD, Australia - Part I
- 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 I. Lecture Notes in Computer Science 14471, Springer 2024, ISBN 978-981-99-8387-2
Computer Vision
- Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu:
Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation. 3-14 - Hoang Chuong Nguyen, Miaomiao Liu:
Short-Term Solar Irradiance Forecasting from Future Sky Images Generation. 15-27 - Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang:
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. 28-41 - Wilkins Leong, Julie Porteous, John Thangarajah:
Story Sifting Using Object Detection Techniques. 42-54 - Mehala Balamurali, Ehsan Mihankhah:
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline. 55-66 - Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo:
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. 67-78 - Yu Zhang, Huaming Chen, Zhongzheng Lai, Zao Zhang, Dong Yuan:
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. 79-90 - Shenshen Du, Jun Yu, Guochen Xie, Renjie Lu, Pengwei Li, Zhongpeng Cai, Keda Lu:
SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement. 91-102 - Qingtao Yu, Heming Du, Xin Yu:
A New Perspective of Weakly Supervised 3D Instance Segmentation via Bounding Boxes. 103-114 - Yan Hu, Erik Meijering, Yang Song:
Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation. 115-126
Deep Learning
- Wensi Tang, Guodong Long:
WeightRelay: Efficient Heterogeneous Federated Learning on Time Series. 129-140 - Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira, Katsuki Fujisawa:
Superpixel Attack - Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas. 141-152 - Rui Xu, Yong Luo, Yan Xu:
Cross Domain Pulmonary Nodule Detection Without Source Data. 153-164 - Liming Ge, David Zhaochen Jiang, Wei Bao:
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video. 165-177 - Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Hanna Suominen:
Neural Networks in Forecasting Financial Volatility. 178-189 - Haoqiang Lin, Haokun Wen, Xiaolin Chen, Xuemeng Song:
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation. 190-202 - Muhammad Talha, Aya Hussein, Mohammed Hossny:
LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning. 203-214 - Jingrong Xie, Yuqi Feng, Yanan Sun:
A Sampling Method for Performance Predictor Based on Contrastive Learning. 215-226 - Nan Yang, Fan Huang, Dong Yuan:
AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning. 227-238 - Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga:
Estimation of Unmasked Face Images Based on Voice and 3DMM. 239-251 - Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li:
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. 252-264 - Hexuan Weng, Yanbin Liu, Ling Chen:
Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City. 265-276 - Jinwu Wang, Wei Mao, Miaomiao Liu:
MIDGET: Music Conditioned 3D Dance Generation. 277-288
Machine Learning and Data Mining
- Enes Makalic, Daniel F. Schmidt:
Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data. 291-303 - Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Multiple Teacher Model for Continual Test-Time Domain Adaptation. 304-314 - Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Causal Disentanglement for Adversarial Defense. 315-327 - Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng:
Gemini: A Dual-Task Co-training Model for Partial Label Learning. 328-340 - Hieu Vu Tran, Carolyn McGregor, Paul J. Kennedy:
Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis. 341-353 - Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. 354-366 - Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman:
Automatic Classification of Sensors in Buildings: Learning from Time Series Data. 367-378 - Venkat Munagala, Sankhya Singh, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari, Amit Bhandari, Kon Mouzakis, Rajesh Vasa:
An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. 379-390 - Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. 391-402 - Shanshan Ye, Jie Lu:
Sequence Unlearning for Sequential Recommender Systems. 403-415 - Hang Yuan, Xiang Li, Benzheng Wei:
MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network. 416-425
Optimization
- Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. 429-441 - Son Thanh Cao, Le Van Thanh, Hoang Huu Viet:
Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search. 442-454 - Mitchell Keegan, Mahdi Abolghasemi:
Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework. 455-467 - Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Ickjai Lee:
An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. 468-479
Medical AI
- Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. 483-494 - Brenda Wang, Chirath Hettiarachchi, Hanna Suominen, Elena Daskalaki:
Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising. 495-506 - Arnav Sharma, Subhanjali Sharma, Utkarsh Bhardwaj, Sajib Mistry, Novarun Deb, Aneesh Krishna:
COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. 507-519 - Hongwei Sheng, Xin Yu, Xue Li, S. Mojtaba Golzan:
Context-Based Masking for Spontaneous Venous Pulsations Detection. 520-532 - Richard Wainwright, Danny Wang, Harrison Layton, Alina Bialkowski:
Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification. 533-544 - Xinping Liu, Zehong Cao:
Enhance Reading Comprehension from EEG-Based Brain-Computer Interface. 545-555
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