Accepted Papers

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Accepted Full Papers

  • Abhijeet Mohapatra, Sudhir Agarwal and Michael Genesereth: Update Policies
  • Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu and Chin-Teng Lin: An Online Competence-based Concept Drift Detection Algorithm
  • Ashiqur Khudabukhsh, Jaime Carbonell and Peter Jansen: Proactive Skill Posting in Referral Networks
  • Ayad Turky, Nasser R. Sabar, Abdul Sattar and Andy Song: Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem
  • Bojan Kolosnjaji, Apostolis Zarras, George Webster and Claudia Eckert: Deep Learning for Classification of Malware System Call Sequences
  • Cesar Astudillo, Jorge Poblete, Marina Marina Resta and John Oommen: A Cluster Analysis of Stock Market Data using Hierarchical SOMs
  • Dang Nguyen, Wei Luo, Dinh Phung and Svetha Venkatesh: Exceptional Contrast Set Mining: Moving beyond the deluge of the obvious
  • Daniel Schmidt, Enes Makalic and John Hopper: Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Samples
  • Darren Shen and Fabio Ramos: Kernel Embeddings of Longitudinal Data
  • Dave de Jonge and Dongmo Zhang: Lifted Backward Search for General Game Playing
  • David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut and Michael Thielscher: Composability in Cognitive Hierarchies
  • Dohyeong Kim, Soyeon Han, Sungyoung Lee and Byeong Kang: Predicting the Rank of Trending Topics
  • Duong Nguyen, Langford White and Hung Nguyen: Adaptive Multiagent Reinforcement Learning with Non-positive Regret
  • Enes Makalic, Daniel F. Schmidt and John L. Hopper: Bayesian Robust Regression with the Horseshoe+ Estimator
  • Gaurav Langan, James Montgomery and Saurabh Kumar Garg: Similarity Matching of Computer Science Unit Outlines in Higher Education
  • Jihang Zhang, Minjie Zhang, Fenghui Ren and Jiakun Liu: Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events through A Decentralised MAS
  • John Abbot and Jennifer Marohasy: Forecasting monthly rainfall up to 18-months in advance using artificial neural networks: Narrogin, Merredin and Southern Cross in the Western Australian wheat-belt as a case study
  • John Abbot and Jennifer Marohasy: Forecasting Monthly Rainfall in the Bowen Basin of Queensland, Australia, using Neural Networks with Niño Indices for El Niño-Southern Oscillation
  • Kyung-Min Kim, Yuchul Jung and Sung-Hyon Myaeng: A Topic Transition Map for Query Expansion: a Semantic Analysis of Click-through Data and Test Collections
  • Mahsa Salehi, Xuyun Zhang, James Bezdek and Christopher Leckie: Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection
  • Megawati Megawati, Sammy Jang and Mun Yi: Utilization of DBpedia Mapping in Cross Lingual Wikipedia Infobox Completion
  • Michael Maher: Corrupt Strategic Argumentation: The Ideal and the Naive
  • Pouya Ghiasnezhad Omran, Kewen Wang and Zhe Wang: Transfer Learning in Probabilistic Logic Models
  • Quan Bai, Weihua Li and Jing Jiang: Mining Context Specific Inter-Personalised Trust for Recommendation Generation in Preference Networks
  • Robert Anderson, Yun Sing Koh and Gill Dobbie: CPF: Concept Profiling Framework for recurring drifts in data streams
  • Saleem Ameen, Hyunsuk Chung, Soyeon Han and Byeong Kang: Open-domain Question Answering Framework using Wikipedia
  • Saman Lawe and Ruili Wang: Optimization of Traffic Signals using Deep Learning Neural Networks
  • Santosh Kumar, Xiaoying Gao and Ian Welch: Co-clustering for Dual Topic Models
  • Satyendra Singh Chouhan and Rajdeep Niyogi: Multi-agent planning with collaborative actions
  • Sina Famouri, Sattar Hashemi and Mohammad Taheri: Artificial Prediction Markets for Clustering
  • Su Jeong Choi, Seong-Bae Park, A-Yeong Kim and Se-Young Park: A Generative Deep Learning for Generating Korean Abbreviations
  • Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Kyle Deane and Paul Sanders: Cascade Bayesian Optimization
  • Van Tuc Nguyen, Markus Hagenbuchner and Tsoi Ah Chung: High resolution Self-organizing Maps
  • Weihua Li, Quan Bai and Minjie Zhang: Comprehensive Influence Propagation Modelling for Hybrid Social Network
  • Wesley Cox and Lyndon While: Improving and Extending the HV4D Algorithm for Calculating Hypervolume Exactly
  • William Raynaut, Chantal Soulé-Dupuy and Nathalie Vallès: Meta-Mining Evaluation Framework : A large scale proof of concept on Meta-Learning
  • Ye Wang, Kyungmi Lee and Ickjai Lee: Visual Analytical Tool for Higher Order $k$-Means Clustering for Trajectory Data Mining
  • Yi Fan, Chengqian Li, Zongjie Ma, Lian Wen and Kaile Su: Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures
  • Youjin Kim, Jonghwan Hyeon, Kyo-Joong Oh and Ho-Jin Choi: Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches
  • Zemei Xu, Daniel F. Schmidt, Enes Makalic, Guoqi Qian and John L. Hopper: Bayesian Grouped Horseshoe Regression with Application to Additive Models

 

Accepted Short Papers

  • Aaron Stockdill and Kourosh Neshatian: Restricted Echo State Networks
  • Amanda Lunt and Shuxiang Xu: An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-Layer Perceptron for Large Datasets
  • Ayu Saraswati, Markus Hagenbuchner and Zhi Quan Zhou: High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems
  • Cesar Astudillo, Javier Gonzlez, John Oommen and Anis Yazidi: Concept Drift Detection using Online Histogram-based Bayesian Classifiers
  • David Toman and Grant Weddell: Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property
  • Dong-Gyun Ko, Youkyoung Park, Yoochan Kim, Juyoun Kim and Wan Chul Yoon: Cognitive-Task-based Information Aid Design for Clinical Diagnosis
  • Farhad Zafari and Irene Moser: Feature-Aware Factorized Collaborative Filtering
  • Gavin Suddrey, Markus Eich, Frederic Maire and Jonathan Roberts: Learning Functional Argument Mappings for Hierarchical Tasks from Situation Specific Explanations
  • Guochen Cai, Kyungmi Lee and Ickjai Lee: A Framework for Mining Semantic-Level Tourist Movement Behaviours from Geo-tagged Photos
  • Haokun Geng, Hsiang-Jen Chien, Radu Nicolescu and Reinhard Klette: Visual Odometry in Dynamic Environments with Geometric Multi-layer Optimisation
  • Jinsheng Chen and Xudong Luo: A Multi-Linguistic-Valued TruthsModal Logic
  • Kinzang Chhogyal and Abhaya Nayak: An empirical study of a simple naive Bayes classifier based on ranking functions
  • Majid Namazi, Nina Ghooshchi, M.A.Hakim Newton and Abdul Sattar: Assignment Precipitation in Fail First Search
  • Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon and Wolfram Burgard: Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis
  • Nian Liu and Nayyar A. Zaidi: Articial Neural Network: Deep or Broad? An Empirical Study
  • Seemran Mishra, Young Choon Lee and Abhaya Nayak: Distributed Genetic Algorithm on GraphX
  • Thi Thanh Sang Nguyen and Haiyan Lu: Domain Ontology Construction using Web Usage Data
  • Tho Thi Ngoc Le: Unsupervised Keyphrase Extraction: Introducing New Kinds of Words to Keyphrases