AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2–5, 2019, Proceedings

Description

This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing. Front Matter ....Pages i-xvii Front Matter ....Pages 1-1 The Application of AlphaZero to Wargaming (Glennn Moy, Slava Shekh)....Pages 3-14 Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning (Yuchen Wang, Fenghui Ren, Minjie Zhang)....Pages 15-27 Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat (Arvind Rajagopalan, Duong Duc Nguyen, Jijoong Kim)....Pages 28-40 Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games (Nicolas Perez, B. John Oommen)....Pages 41-53 An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation (Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale)....Pages 54-65 Memory-Based Explainable Reinforcement Learning (Francisco Cruz, Richard Dazeley, Peter Vamplew)....Pages 66-77 Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning (Yuko Sakurai, Satoshi Oyama)....Pages 78-88 Front Matter ....Pages 89-89 Exploring Unknown Universes in Probabilistic Relational Models (Tanya Braun, Ralf Möller)....Pages 91-103 Efficient Multiple Query Answering in Switched Probabilistic Relational Models (Marcel Gehrke, Tanya Braun, Ralf Möller)....Pages 104-116 Finding ALL Answers to OBDA Queries Using Referring Expressions (David Toman, Grant Weddell)....Pages 117-129 Constructing CP-Nets from Users Past Selection (Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi)....Pages 130-142 An Efficient Solver for Parametrized Difference Revision (Aaron Hunter, John Agapeyev)....Pages 143-152 Answering Why-Questions Using Probabilistic Logic Programming (Abdus Salam, Rolf Schwitter, Mehmet A. Orgun)....Pages 153-164 DINE: A Framework for Deep Incomplete Network Embedding (Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia)....Pages 165-176 Predictive Representation Learning in Motif-Based Graph Networks (Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia)....Pages 177-188 Front Matter ....Pages 189-189 Online K-Means Clustering with Lightweight Coresets (Jia Shun Low, Zahra Ghafoori, Christopher Leckie)....Pages 191-202 Solving Safety Problems with Ensemble Reinforcement Learning (Leonardo A. Ferreira, Thiago F. dos Santos, Reinaldo A. C. Bianchi, Paulo E. Santos)....Pages 203-214 Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning (Marcus Suresh, Ronnie Taib, Yanchang Zhao, Warren Jin)....Pages 215-227 Predicting Financial Well-Being Using Observable Features and Gradient Boosting (Iqbal Madakkatel, Belinda Chiera, Mark D. McDonnell)....Pages 228-239 Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching (Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara)....Pages 240-252 Evaluating the Boundaries of Big Data Environments for Machine Learning (Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish)....Pages 253-264 Sequence-to-Sequence Imputation of Missing Sensor Data (Joel Janek Dabrowski, Ashfaqur Rahman)....Pages 265-276 The Futility of Bias-Free Learning and Search (George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti)....Pages 277-288 WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas (Nicos Isaak, Loizos Michael)....Pages 289-302 Detecting Depression in Dyadic Conversations with Multimodal Narratives and Visualizations (Joshua Y. Kim, Greyson Y. Kim, Kalina Yacef)....Pages 303-314 An Explainable Intelligence Model for Security Event Analysis (Neda AfzaliSeresht, Qing Liu, Yuan Miao)....Pages 315-327 Front Matter ....Pages 329-329 Using Feature Filtering Metrics as Meta-dimensions in Constructing Distributional Representations (Dongqiang Yang, Yanqin Yin, Tonghui Han, Hongwei Ma)....Pages 331-343 The Thin Line Between Hate and Profanity (Kosisochukwu Judith Madukwe, Xiaoying Gao)....Pages 344-356 To Extend or Not to Extend? Context-Specific Corpus Enrichment (Felix Kuhr, Tanya Braun, Magnus Bender, Ralf Möller)....Pages 357-368 A Machine Learning Benchmark with Meaning: Learnability and Verb Semantics (Csaba Veres, Bjørn Helge Sandblåst)....Pages 369-380 Hybrid Words Representation for Airlines Sentiment Analysis (Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed)....Pages 381-392 Analyzing the Variation Property of Contextualized Word Representations (Sakae Mizuki, Naoaki Okazaki)....Pages 393-405 Feature Importance for Biomedical Named Entity Recognition (Hamish Huggard, Aaron Zhang, Edmond Zhang, Yun Sing Koh)....Pages 406-417 Frequent Semantic Patterns for Document Relevance Ranking (Hanh Nguyen, Yue Xu, Yuefeng Li)....Pages 418-430 Front Matter ....Pages 431-431 Optimising Pump Scheduling for Water Distribution Networks (Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen et al.)....Pages 433-444 Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm (Chen Wang, Hui Ma, Gang Chen, Sven Hartmann)....Pages 445-459 Bayesian Optimisation for Objective Functions with Varying Smoothness (A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh)....Pages 460-472 Bayesian Optimization with Discrete Variables (Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh)....Pages 473-484 Detection of Compromised Models Using Bayesian Optimization (Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh)....Pages 485-496 Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation (Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh)....Pages 497-509 Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms (Juhini Desai, Bach Hoai Nguyen, Bing Xue)....Pages 510-522 Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data (Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang)....Pages 523-535 Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling (Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang)....Pages 536-548 A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem (Christian Blum, Dhananjay Thiruvady, Andreas T. Ernst, Matthias Horn, Günther R. Raidl)....Pages 549-560 Front Matter ....Pages 561-561 Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation (Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang et al.)....Pages 563-573 LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation (Yingdi Zhang, Zelin Shi, Huan Wang, Chongnan Yan, Lanbo Wang, Yueming Mu et al.)....Pages 574-585 Semi-supervised Learning Using Siamese Networks (Attaullah Sahito, Eibe Frank, Bernhard Pfahringer)....Pages 586-597 Intrinsically Motivated Active Perception for Multi-areas View Tasks (Dashun Pei, Linhua Jiang)....Pages 598-609 Back Matter ....Pages 611-612