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ORCID34th Australasian Joint Conference on Artificial Intelligence 2021: Sydney, NSW, Australia
- Guodong Long
, Xinghuo Yu, Sen Wang:
AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings. Lecture Notes in Computer Science 13151, Springer 2022, ISBN 978-3-030-97545-6
Ethical AI
- Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. 3-14 - Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. 15-26 - Abdus Salam, Rolf Schwitter, Mehmet A. Orgun:
HESIP: A Hybrid System for Explaining Sub-symbolic Predictions. 27-39 - Kosuke Chinone, Atsuyoshi Nakamura:
An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph. 40-52 - Cameron McEwan, Michael Thielscher:
Knowledge Transfer for Deep Reinforcement Agents in General Game Playing. 53-66 - Zhiyi Tian, Chenhan Zhang, Lei Cui, Shui Yu:
GSMI: A Gradient Sign Optimization Based Model Inversion Method. 67-78 - Indranil Basu, Subhadip Maji:
Multicollinearity Correction and Combined Feature Effect in Shapley Values. 79-90 - Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen:
Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. 91-102 - Simon C. Stanton, Julian R. Dermoudy, Robert Ollington:
Representation-Induced Algorithmic Bias - An Empirical Assessment of Behavioural Equivalence over 14 Reinforcement Learning Algorithms Across 4 Isomorphic Gameform Representations. 103-116 - Kary Främling:
Contextual Importance and Utility: A Theoretical Foundation. 117-128 - Ming Li, Giorgio Gnecco, Marcello Sanguineti:
Deeper Insights into Neural Nets with Random Weights. 129-140
Applications
- Yuansan Liu, James Bailey:
De Novo Molecular Generation with Stacked Adversarial Model. 143-154 - Rianon Zaman, M. A. Hakim Newton, Fereshteh Mataeimoghadam, Abdul Sattar:
Tailoring Contact Based Scoring Functions for Protein Structure Prediction. 155-168 - Mark Rodrigues, Michael Mayo, Panos Patros:
Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset. 169-180 - Ahmad A. Al-Taee, Rami N. Khushaba, Tanveer A. Zia, Adel Al-Jumaily:
Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification. 181-189 - Beinan Xu, Andy Song:
Modelling Eye-Gaze Movement Using Gaussian Auto-regression Hidden Markov. 190-202 - Xiaoxue Liu, Fenghui Ren, Guoxin Su, Minjie Zhang:
Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks. 203-215 - Xinyuan Lian, Dengji Zhao:
A Network-Based Rating Mechanism Against False-Name Attack. 216-227 - Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh:
Modular Construction Planning Using Graph Neural Network Heuristic Search. 228-239 - Jianglin Qiao, Dongmo Zhang, Dave de Jonge:
Priority-Based Traffic Management Protocols for Autonomous Vehicles on Road Networks. 240-253 - Khai Phan Tran, Weitong Chen, Miao Xu:
Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane. 254-266 - Oliver Fleming, Adrian Ball, Rami N. Khushaba:
Predicting Geological Material Types Using Ground Penetrating Radar. 267-278 - Chen Liu, Hui Song, Mahdi Jalili, Peter McTaggart:
A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples. 279-290 - Kevin Purnell, Rolf Schwitter:
User-Defined Smart Contracts Using Answer Set Programming. 291-303 - David Hason Rudd, Huan Huo, Guandong Xu:
Predicting Financial Literacy via Semi-supervised Learning. 304-319 - Yang Wang, Xueping Peng, Allison Clarke, Clement Schlegel, Jing Jiang:
Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling. 320-331 - Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. 332-343 - Alisher Ikramov, Khikmat Anvarov, Visolat Sharipova, Nurbek Iskhakov, Abdusalom Abdurakhmonov, Azamat Alimov:
Machine Learning Algorithms in Application to COVID-19 Severity Prediction in Patients. 344-355 - Seunghyeon Lee, Fang Chen:
Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach. 356-367 - Adrian Caruana, Madhushi Niluka Bandara, Daniel R. Catchpoole, Paul J. Kennedy:
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences. 368-380 - Leah Gerrard, Xueping Peng, Allison Clarke, Clement Schlegel, Jing Jiang:
Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning. 381-392 - May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. 393-404 - Yanyu Chen, Yunjue Zhou, Son N. Tran, Mira Park, Scott Hadley, Myriam Lacharité, Quan Bai:
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture. 405-416 - Seunghyeon Lee, Dong Ngoduy, Fang Chen:
Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory. 417-427 - Mrunalini Nalamati, Muhammad Saqib, Nabin Sharma, Michael Blumenstein:
Exploring Transformers for Intruder Detection in Complex Maritime Environment. 428-439 - Kirita-Rose Escott, Hui Ma, Gang Chen:
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. 440-451 - John Haddadian, Mehala Balamurali:
Transfer Learning and Data Augmentation in the Diagnosis of Knee MRI. 452-463
Classical AI
- Daniel Herring, Dean Pakravan, Michael Kirley:
Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation. 467-479 - Md Mohiuddin Khan, Kathryn Kasmarik, Matt Garratt:
Decentralizing Self-organizing Maps. 480-493 - Hoang Huu Viet, Nguyen Thi Uyen, Son Thanh Cao, TaeChoong Chung:
A Heuristic Repair Algorithm for the Maximum Stable Marriage Problem with Ties and Incomplete Lists. 494-506 - Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen:
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. 507-518 - Taiwo Akindele, Boxiong Tan, Yi Mei, Hui Ma:
Hybrid Grouping Genetic Algorithm for Large-Scale Two-Level Resource Allocation of Containers in the Cloud. 519-530 - Shadi Abpeikar, Kathryn Kasmarik, Phi Vu Tran, Matt Garratt:
Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs. 531-542 - Nils Finke, Ralf Möller, Marisa Mohr:
Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models. 543-555 - Yikun Yang, Fenghui Ren, Minjie Zhang:
A Hybrid Multiagent-Based Rescheduling Mechanism for Open and Stochastic Environments Concerning the Execution Stage. 556-569 - Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan, Yuhui Shi:
BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning. 570-581 - Rachid Adrdor, Lahcen Koutti:
Improvement of Arc Consistency in Asynchronous Forward Bounding Algorithm. 582-591
Computer Vision and Machine Learning
- Zhouyang Jiang, Penny Sweetser:
GAN-Assisted YUV Pixel Art Generation. 595-606 - Kun Han, Weitong Chen, Miao Xu:
Investigating Active Positive-Unlabeled Learning with Deep Networks. 607-618 - Wenkai Li, Andy Song:
UFO RPN: A Region Proposal Network for Ultra Fast Object Detection. 619-631 - Benjamin Curran, Seyed Mohammad Nekooei, Gang Chen:
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach. 632-644 - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Better Self-training for Image Classification Through Self-supervision. 645-657 - Khaled Saleh, Kun Yu, Fang Chen:
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. 658-667 - Liuchun Yao, Mira Park, Saurabh Garg, Quan Bai:
Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning. 668-678 - Wenli Yang, Mira Park, Xianghui Song, Sun Ling, Yameng Li, Xiaotong Gu:
Vehicle Detection Based on Cascade Deep Learning Method Using Deformed Oriented Bounding Box. 679-690 - Zheping Liu, Nasser R. Sabar, Andy Song:
Improving Evolutionary Generative Adversarial Networks. 691-702
Natural Language Processing and Data Mining
- Jingli Shi, Lui Hellesoe, Guan Wang, Weihua Li, Quan Bai:
Focus-Based Text Summarisation with Hybrid Embeddings. 705-715 - Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu:
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. 716-727 - Youness Moukafih, Abdelghani Ghanem, Karima Abidi, Nada Sbihi, Mounir Ghogho, Kamel Smaïli:
SimSCL: A Simple Fully-Supervised Contrastive Learning Framework for Text Representation. 728-738 - HeeSeok Jung, Yeonju Jang, Seonghun Kim, Hyeoncheol Kim:
KPCR: Knowledge Graph Enhanced Personalized Course Recommendation. 739-750 - Aisha Rashed Albqmi, Yuefeng Li, Yue Xu:
Probabilistic Term Weighting Based on Three-Way Decisions for Class Based Feature Selection. 751-762 - Zhijie Wu, Jia Zhu, Shi Xu, Zhiwen Yan, Wanying Liang:
LTWNN: A Novel Approach Using Sentence Embeddings for Extracting Diverse Concepts in MOOCs. 763-774 - Junfeng Wu, Guangyan Huang, Roozbeh Zarei:
ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery. 775-784
Network Analysis
- Liyang Liu, Mehala Balamurali, Katherine L. Silversides, Rami N. Khushaba:
Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators. 787-797
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