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ORCID29. Australasian Joint Conference on Artificial Intelligence 2016: Hobart, TAS, Australia
- Byeong Ho Kang, Quan Bai
:
AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings. Lecture Notes in Computer Science 9992, Springer 2016, ISBN 978-3-319-50126-0
Agents and Multiagent Systems
- Dave de Jonge, Dongmo Zhang:
Lifted Backward Search for General Game Playing. 3-16 - Michael J. Maher:
Corrupt Strategic Argumentation: The Ideal and the Naive. 17-28 - Duong Duc Nguyen, Langford B. White, Hung X. Nguyen:
Adaptive Multiagent Reinforcement Learning with Non-positive Regret. 29-41 - David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher:
Composability in Cognitive Hierarchies. 42-55 - Jihang Zhang, Minjie Zhang, Fenghui Ren, Jiakun Liu:
Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS. 56-68
AI Applications and Innovations
- John Abbot, Jennifer Marohasy:
Forecasting Monthly Rainfall in the Western Australian Wheat-Belt up to 18-Months in Advance Using Artificial Neural Networks. 71-87 - John Abbot, Jennifer Marohasy:
Forecasting Monthly Rainfall in the Bowen Basin of Queensland, Australia, Using Neural Networks with Niño Indices. 88-100 - César A. Astudillo, Jorge Poblete, Marina Resta, B. John Oommen:
A Cluster Analysis of Stock Market Data Using Hierarchical SOMs. 101-112 - Su-Jeong Choi, A.-Yeong Kim, Seong-Bae Park, Se-Young Park:
A Generative Deep Learning for Generating Korean Abbreviations. 113-124 - You Jin Kim, Jonghwan Hyeon, Kyo-Joong Oh, Ho-Jin Choi:
Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches. 125-136 - Bojan Kolosnjaji, Apostolis Zarras, George D. Webster, Claudia Eckert:
Deep Learning for Classification of Malware System Call Sequences. 137-149 - Gaurav Langan, James Montgomery, Saurabh Kumar Garg:
Similarity Matching of Computer Science Unit Outlines in Higher Education. 150-162 - Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem. 163-174 - César A. Astudillo, Javier I. González, B. John Oommen, Anis Yazidi:
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers. 175-182 - Haokun Geng, Hsiang-Jen Chien, Radu Nicolescu, Reinhard Klette:
Visual Odometry in Dynamic Environments with Geometric Multi-layer Optimisation. 183-190 - Ayu Saraswati, Markus Hagenbuchner, Zhi Quan Zhou:
High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems. 191-199
Big Data
- Robert Anderson, Yun Sing Koh, Gillian Dobbie:
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. 203-214 - William Raynaut, Chantal Soulé-Dupuy, Nathalie Vallès-Parlangeau:
Meta-mining Evaluation Framework: A Large Scale Proof of Concept on Meta-learning. 215-228 - Zemei Xu, Daniel F. Schmidt, Enes Makalic, Guoqi Q. Qian, John L. Hopper:
Bayesian Grouped Horseshoe Regression with Application to Additive Models. 229-240
Constraint Satisfaction, Search and Optimisation
- Wesley Cox, Lyndon While:
Improving and Extending the HV4D Algorithm for Calculating Hypervolume Exactly. 243-254 - Yi Fan, Chengqian Li, Zongjie Ma, Lian Wen, Abdul Sattar, Kaile Su:
Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures. 255-267 - Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Kyle J. Deane, Paul G. Sanders:
Cascade Bayesian Optimization. 268-280 - Majid Namazi, Nina Ghanbari Ghooshchi, M. A. Hakim Newton, Abdul Sattar:
Assignment Precipitation in Fail First Search. 281-287
Knowledge Representation and Reasoning
- Abhijeet Mohapatra, Sudhir Agarwal, Michael R. Genesereth:
Update Policies. 291-302 - Megawati, Saemi Jang, Mun Yong Yi:
Utilization of DBpedia Mapping in Cross Lingual Wikipedia Infobox Completion. 303-316 - Jinsheng Chen, Xudong Luo:
A Multi-linguistic-Valued Modal Logic. 317-323 - Kinzang Chhogyal, Abhaya C. Nayak:
An Empirical Study of a Simple Naive Bayes Classifier Based on Ranking Functions. 324-331 - Dong-Gyun Ko, Youkyoung Park, Yoochan Kim, Juyoun Kim, Wan Chul Yoon:
Cognitive-Task-Based Information Aid Design for Clinical Diagnosis. 332-337 - Thi Thanh Sang Nguyen, Haiyan Lu:
Domain Ontology Construction Using Web Usage Data. 338-344 - Gavin Suddrey, Markus Eich, Frédéric Maire, Jonathan Roberts:
Learning Functional Argument Mappings for Hierarchical Tasks from Situation Specific Explanations. 345-352 - David Toman, Grant E. Weddell:
Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property - (Extended Abstract). 353-361
Machine Learning and Data Mining
- Sina Famouri, Sattar Hashemi, Mohammad Taheri:
Artificial Prediction Markets for Clustering. 365-377 - Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Transfer Learning in Probabilistic Logic Models. 378-389 - (Withdrawn) Co-clustering for Dual Topic Models. 390-402
- Saman Lawe, Ruili Wang:
Optimization of Traffic Signals Using Deep Learning Neural Networks. 403-415 - Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu, Chin-Teng Lin:
An Online Competence-Based Concept Drift Detection Algorithm. 416-428 - Enes Makalic, Daniel F. Schmidt, John L. Hopper:
Bayesian Robust Regression with the Horseshoe+ Estimator. 429-440 - Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi:
High Resolution Self-organizing Maps. 441-454 - Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. 455-468 - Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie:
Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. 469-481 - Daniel F. Schmidt, Enes Makalic, John L. Hopper:
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling. 482-494 - Darren Shen, Fabio Ramos:
Kernel Embeddings of Longitudinal Data. 495-506 - Ye Wang, Kyungmi Lee, Ickjai Lee:
Visual Analytical Tool for Higher Order k-Means Clustering for Trajectory Data Mining. 507-518 - Guochen Cai, Kyungmi Lee, Ickjai Lee:
A Framework for Mining Semantic-Level Tourist Movement Behaviours from Geo-tagged Photos. 519-524 - Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard:
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis. 525-534 - Nian Liu, Nayyar Abbas Zaidi:
Artificial Neural Network: Deep or Broad? An Empirical Study. 535-541 - Amanda Lunt, Shuxiang Xu:
An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets. 542-547 - Seemran Mishra, Young Choon Lee, Abhaya C. Nayak:
Distributed Genetic Algorithm on GraphX. 548-554 - Aaron Stockdill, Kourosh Neshatian:
Restricted Echo State Networks. 555-560 - Farhad Zafari, Irene Moser:
Feature-Aware Factorised Collaborative Filtering. 561-569
Social Intelligence
- Quan Bai, Weihua Li, Jing Jiang:
Mining Context Specific Inter-personalised Trust for Recommendation Generation in Preference Networks. 573-584 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Proactive Skill Posting in Referral Networks. 585-596 - Weihua Li, Quan Bai, Minjie Zhang:
Comprehensive Influence Propagation Modelling for Hybrid Social Network. 597-608 - Satyendra Singh Chouhan, Rajdeep Niyogi:
Multi-agent Planning with Collaborative Actions. 609-620
Text mining and NLP
- Saleem Ameen, Hyunsuk Chung, Soyeon Caren Han, Byeong Ho Kang:
Open-Domain Question Answering Framework Using Wikipedia. 623-635 - Do Hyeong Kim, Soyeon Caren Han, Sungyoung Lee, Byeong Ho Kang:
Predicting the Rank of Trending Topics. 636-647 - Kyung-Min Kim, Yuchul Jung, Sung-Hyon Myaeng:
A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections. 648-664 - Tho Thi Ngoc Le, Minh Le Nguyen, Akira Shimazu:
Unsupervised Keyphrase Extraction: Introducing New Kinds of Words to Keyphrases. 665-671
Selected Papers from AI 2016 Doctoral Consortium
- Pornpimon Kachamas:
Shaping Interactive Marketing Communication (IMC) Through Social Media Analytics and Modelling. 675-681 - Kittipong Sakornsathien:
Ingenious Product Form Co-design System for the Industry 4.0. 682-688
Selected Papers from SMA 2016
- Sanghong Ahn, Hyeontaek Oh, Hwa Jong Kim, Jun Kyun Choi:
Data Lifecycle and Tagging for Internet of Things Applications. 691-695 - Regin Cabacas, In-ho Ra:
A Content-Based Routing Scheme for Mobile Data Offloading in Pocket Switched Networks. 696-701 - Si Fan, Saurabh Garg, Soonja Yeom:
Exploring the Use of Big Data Analytics for Improving Support to Students in Higher Education. 702-707 - Hwa Jong Kim:
DataCon: Easier Data Sharing, Exploration, and Fusion with Automatic Metadata Generation. 708-713 - Yang Sok Kim, Choong Kwon Lee:
An Empirical Evaluation of Job Classification Using Online Job Advertisements. 714-719 - Van Khien Pham, Gueesang Lee:
Robust Text Detection in Natural Scene Images. 720-725
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