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ORCID32nd Australasian Joint Conference on Artificial Intelligence 2019: Adelaide, SA, Australia
- Jixue Liu, James Bailey:
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Lecture Notes in Computer Science 11919, Springer 2019, ISBN 978-3-030-35287-5
Game and Multiagent Systems
- Glennn Moy, Slava Shekh:
The Application of AlphaZero to Wargaming. 3-14 - Yuchen Wang, Fenghui Ren
, Minjie Zhang:
Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning. 15-27 - Arvind Rajagopalan, Duong Duc Nguyen, Jijoong Kim:
Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat. 28-40 - Nicolas Perez, B. John Oommen:
Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games. 41-53 - Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation. 54-65 - Francisco Cruz, Richard Dazeley, Peter Vamplew:
Memory-Based Explainable Reinforcement Learning. 66-77 - Yuko Sakurai, Satoshi Oyama:
Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning. 78-88
Knowledge Acquisition, Representation, Reasoning
- Tanya Braun, Ralf Möller:
Exploring Unknown Universes in Probabilistic Relational Models. 91-103 - Marcel Gehrke, Tanya Braun, Ralf Möller:
Efficient Multiple Query Answering in Switched Probabilistic Relational Models. 104-116 - David Toman, Grant E. Weddell:
Finding ALL Answers to OBDA Queries Using Referring Expressions. 117-129 - Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi:
Constructing CP-Nets from Users Past Selection. 130-142 - Aaron Hunter, John Agapeyev:
An Efficient Solver for Parametrized Difference Revision. 143-152 - Abdus Salam, Rolf Schwitter, Mehmet A. Orgun:
Answering Why-Questions Using Probabilistic Logic Programming. 153-164 - Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia:
DINE: A Framework for Deep Incomplete Network Embedding. 165-176 - Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia:
Predictive Representation Learning in Motif-Based Graph Networks. 177-188
Machine Learning and Applications
- Jia Shun Low, Zahra Ghafoori, Christopher Leckie:
Online K-Means Clustering with Lightweight Coresets. 191-202 - Leonardo Anjoletto Ferreira, Thiago Freitas dos Santos, Reinaldo A. C. Bianchi, Paulo E. Santos:
Solving Safety Problems with Ensemble Reinforcement Learning. 203-214 - Marcus Suresh, Ronnie Taib, Yanchang Zhao, Warren Jin:
Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning. 215-227 - Iqbal Madakkatel, Belinda A. Chiera, Mark D. McDonnell:
Predicting Financial Well-Being Using Observable Features and Gradient Boosting. 228-239 - Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara:
Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching. 240-252 - Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish:
Evaluating the Boundaries of Big Data Environments for Machine Learning. 253-264 - Joel Janek Dabrowski, Ashfaqur Rahman:
Sequence-to-Sequence Imputation of Missing Sensor Data. 265-276 - George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti:
The Futility of Bias-Free Learning and Search. 277-288 - Nicos Isaak, Loizos Michael:
WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas. 289-302 - Joshua Y. Kim, Greyson Y. Kim, Kalina Yacef:
Detecting Depression in Dyadic Conversations with Multimodal Narratives and Visualizations. 303-314 - Neda AfzaliSeresht, Qing Liu, Yuan Miao:
An Explainable Intelligence Model for Security Event Analysis. 315-327
Natural Language Processing and Text Analytics
- Dongqiang Yang, Yanqin Yin, Tonghui Han, Hongwei Ma:
Using Feature Filtering Metrics as Meta-dimensions in Constructing Distributional Representations. 331-343 - Kosisochukwu Judith Madukwe, Xiaoying Gao:
The Thin Line Between Hate and Profanity. 344-356 - Felix Kuhr, Tanya Braun, Magnus Bender, Ralf Möller:
To Extend or Not to Extend? Context-Specific Corpus Enrichment. 357-368 - Csaba Veres, Bjørn Helge Sandblåst:
A Machine Learning Benchmark with Meaning: Learnability and Verb Semantics. 369-380 - Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed:
Hybrid Words Representation for Airlines Sentiment Analysis. 381-392 - Sakae Mizuki, Naoaki Okazaki:
Analyzing the Variation Property of Contextualized Word Representations. 393-405 - Hamish Huggard, Aaron Zhang, Edmond Zhang, Yun Sing Koh:
Feature Importance for Biomedical Named Entity Recognition. 406-417 - Hanh Nguyen, Yue Xu, Yuefeng Li:
Frequent Semantic Patterns for Document Relevance Ranking. 418-430
Optimization and Evolutionary Computing
- Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan:
Optimising Pump Scheduling for Water Distribution Networks. 433-444 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm. 445-459 - A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimisation for Objective Functions with Varying Smoothness. 460-472 - Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Bayesian Optimization with Discrete Variables. 473-484 - Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Detection of Compromised Models Using Bayesian Optimization. 485-496 - Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation. 497-509 - Juhini Desai, Bach Hoai Nguyen, Bing Xue:
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. 510-522 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. 523-535 - Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. 536-548 - Christian Blum, Dhananjay R. Thiruvady, Andreas T. Ernst, Matthias Horn, Günther R. Raidl:
A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem. 549-560
Image Processing
- Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai:
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. 563-573 - Yingdi Zhang, Zelin Shi, Huan Wang, Chongnan Yan, Lanbo Wang, Yueming Mu, Yunpeng Liu, Shuhang Wu, Tianci Liu:
LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation. 574-585 - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Semi-supervised Learning Using Siamese Networks. 586-597 - Dashun Pei, Linhua Jiang:
Intrinsically Motivated Active Perception for Multi-areas View Tasks. 598-609
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