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ORCID31st Australasian Joint Conference on Artificial Intelligence 2018: Wellington, New Zealand
- Tanja Mitrovic, Bing Xue, Xiaodong Li:
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings. Lecture Notes in Computer Science 11320, Springer 2018, ISBN 978-3-030-03990-5
Agents, Games and Robotics
- Shuyue Hu, Ho-fung Leung:
Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems. 3-15 - Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis:
Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids. 16-28 - Daniel Barry, Andreas Willig, Graeme Woodward
:
Empowerment-Driven Single Agent Exploration for Locating Multiple Wireless Transmitters. 29-37 - Dongmo Zhang:
A Logic for Reasoning About Game Descriptions. 38-50 - Armin Chitizadeh, Michael Thielscher:
General Language Evolution in General Game Playing. 51-64 - Nathaniel du Preez-Wilkinson, Marcus Gallagher, Xuelei Hu:
Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games. 65-70 - Amar Nath, A. R. Arun, Rajdeep Niyogi:
An Approach for Task Execution in Dynamic Multirobot Environment. 71-76 - Daniel Ginn, Alexandre Mendes, Stephan K. Chalup, Jake Fountain:
Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes. 77-82
AI Applications and Innovations
- Sophie Zareei, Jeremiah D. Deng:
Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study. 85-97 - Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun, Chuanjiang Wang:
Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning. 98-103 - Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes. 104-110 - Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. 111-123 - Jie Shi, Nanpeng Yu:
Impacts of Climate Change and Socioeconomic Development on Electric Load in California. 124-132 - Cezary Siwek, Jakub Kowalski, Chiara F. Sironi, Mark H. M. Winands:
Implementing Propositional Networks on FPGA. 133-145 - Boxiong Tan, Hui Ma, Yi Mei:
A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. 146-152 - Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe, Michael Levin:
A Computational Framework for Autonomous Self-repair Systems. 153-159 - K. V. S. N. Rama Rao, Saurabh Kumar Garg, James Montgomery:
Investigation of Unsupervised Models for Biodiversity Assessment. 160-171 - Zhibin Li, Jian Zhang, Qiang Wu, Christina Kirsch:
Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment. 172-183 - Nazia Majadi, Jarrod Trevathan, Neil Bergmann:
Real-Time Collusive Shill Bidding Detection in Online Auctions. 184-192 - Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli:
OHC: Uncovering Overlapping Heterogeneous Communities. 193-205
Computer Vision
- Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. 209-215 - Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li, Yang Liu:
Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks. 216-223 - Nabin Sharma, Paul Scully-Power, Michael Blumenstein:
Shark Detection from Aerial Imagery Using Region-Based CNN, a Study. 224-236 - Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. 237-250 - Ying Bi, Bing Xue, Mengjie Zhang:
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. 251-257 - Shohei Tsunekawa, Katsufumi Inoue, Michifumi Yoshioka:
Image Up-Sampling for Super Resolution with Generative Adversarial Network. 258-270 - Xiaogang Yan, Alistair Knott, Steven Mills:
A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks. 271-283 - Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. 284-295
Constraints and Search
- Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. 299-311 - Ayad Turky, Nasser R. Sabar, Simon Dunstall, Andy Song:
Hyper-heuristic Based Local Search for Combinatorial Optimisation Problems. 312-317 - Zheng Yan, Jie Lu, Guangquan Zhang:
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. 318-328 - Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
Constraint-Guided Local Search for Single Mixed-Operation Runway. 329-341
Evolutionary Computation
- Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. 345-357 - Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. 358-370 - Shinichi Yamada, Kourosh Neshatian:
Improving Representation in Benchmarking of Binary PSO Algorithms. 371-383 - Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray, Sanaz Mostaghim:
Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. 384-396 - Yi Liu, Will N. Browne, Bing Xue:
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. 397-409 - Wesley Cox, Tim French, Mark Reynolds, Lyndon While:
A Cooperative Coevolutionary Algorithm for Real-Time Underground Mine Scheduling. 410-418 - Ke Chen, Fengyu Zhou, Bing Xue:
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. 419-431 - Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. 432-444 - Tapabrata Ray, Ahsanul Habib, Hemant Kumar Singh, Michael J. Ryan:
Uncovering Performance Envelopes Through Optimum Design of Tests. 445-457 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm. 458-471 - Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling. 472-484
Knowledge Representation and Reasoning
- Tanya Braun, Ralf Möller:
Adaptive Inference on Probabilistic Relational Models. 487-500 - Özgür Lütfü Özçep:
Reinterpretation with Systems of Spheres. 501-506 - Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Approximation for Gaussian Process with Derivative Observations. 507-518 - Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu:
Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. 519-530 - Izaro Goienetxea, Iñigo Mendialdua, Basilio Sierra:
On the Use of Matrix Based Representation to Deal with Automatic Composer Recognition. 531-536 - Nathaniel du Preez-Wilkinson, Marcus Gallagher, Xuelei Hu:
Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking. 537-542 - Marcel Gehrke, Tanya Braun, Ralf Möller:
Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm. 543-555 - Marcel Gehrke, Tanya Braun, Ralf Möller:
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. 556-562
Machine Learning and Data Mining
- Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Feature Standardisation in Symbolic Regression. 565-576 - Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae:
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. 577-589 - Sweta Sharma, Reshma Rastogi:
Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification. 590-602 - Maisa Daoud, Michael Mayo:
A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions Using Autoencoders and Swarm Optimization. 603-615 - Damien O'Neill, Bing Xue, Mengjie Zhang:
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study. 616-629 - Robert Anderson, Yun Sing Koh, Gillian Dobbie:
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. 630-642 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. 643-655 - Abdullah Semran Alharbi, Md. Abul Bashar, Yuefeng Li:
Random-Sets for Dealing with Uncertainties in Relevance Feature. 656-668 - Ancheng Lin, Jun Li, Lujuan Zhang, Zhenyuan Ma, Weiqi Luo:
Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets. 669-680 - Lile Li, Wei Liu:
Link Prediction via Factorization Machines. 681-691 - Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu:
Discovering Granger-Causal Features from Deep Learning Networks. 692-705 - Ancheng Lin, Jun Li, Lujuan Zhang, Lei Shi, Zhenyuan Ma:
A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions. 706-717 - Haitao Xu, Brendan McCane, Lech Szymanski:
Twin Bounded Large Margin Distribution Machine. 718-729 - Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana:
Concept Drift Detector Selection for Hoeffding Adaptive Trees. 730-736
Planning and Scheduling
- John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. 739-751 - Kin-Ping Hui, Damien Phillips, Asanka Kekirigoda, Alan Allwright:
Autonomous Vehicle Constrained Path Planning Using Opal for Dynamic Networks. 752-758 - Ahmed Abbas, Frédéric Maire, Sareh Shirazi, Feras Dayoub, Markus Eich:
A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration. 759-765 - Fangfang Zhang, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling. 766-772 - Jianglin Qiao, Dongmo Zhang, Dave de Jonge:
Virtual Roundabout Protocol for Autonomous Vehicles. 773-782 - Tao Shi, Hui Ma, Gang Chen:
Multi-objective Container Consolidation in Cloud Data Centers. 783-795
Text Mining and NLP
- Aisha Rashed Albqmi, Yuefeng Li, Yue Xu:
Enhancing Decision Boundary Setting for Binary Text Classification. 799-811 - Mansi Chugh, Peter A. Whigham, Grant Dick:
Stability of Word Embeddings Using Word2Vec. 812-818 - Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke, Susanne Schmeidl:
Using Word Embeddings with Linear Models for Short Text Classification. 819-827 - Ditty Mathew, Sutanu Chakraborti:
Towards Compiling Textbooks from Wikipedia. 828-842 - Peter A. Whigham, Mansi Chugh, Grant Dick:
Measuring Language Complexity Using Word Embeddings. 843-854
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