The proceedings are now available online:

Day 1: Tuesday 11 Dec 2018

Time Room Program
9:00-10:30 AM102 Tutorial 1: Methods and Techniques for Combating False Information in Social Media
Presenter: Wei Gao
Chair: Hoai Bach Nguyen
AM104 Tutorial 2: Managing and Communicating Object Identities in Knowledge Representation and Information Systems
Presenters: David Toman and Grant Weddell
Chair: Harith Al-Sahaf
11:00-12:30 AM102 Tutorial 3: Academia and Entrepreneurship: How to Start and Run a Technology Company
Presenter: Zbigniew Michalewicz
Chair: Binh Tran
AM104 Tutorial 4: Computational Intelligence for Brain Computer Interface (CIBCI)
Presenter: Chin-Teng (CT) Lin
Chair: Cao Truong Tran
14:00-15:30 AM102 Tutorial 5: Evolutionary Computation for Digital Art 
Presenters: Frank Neumann and Aneta Neumann
Chair: Harith Al-Sahaf
AM104 Tutorial 6: Grammar-Guided Genetic Programming 
Presenters: Grant Dick and Peter Whigham
Chair: Qi Chen
AM101 Workshop: The 5th Workshop on Machine Learning for Sensory Data Analytics
Organisers: Amir Hussain, Ashfaqur Rahman, and Jeremiah Deng
16:00-17:30 AM102 Tutorial 7: Machine Learning in Uncertain Environments
Presenter: Ke Tang
Chair: Yanan Sun
AM101 Workshop: The 5th Workshop on Machine Learning for Sensory Data Analytics
Organisers: Amir Hussain, Ashfaqur Rahman, and Jeremiah Deng

Day 2: Wednesday 12 Dec 2018


Time: 8:30-8:50
Room: MCLT101

Keynote 1: Concept Drift Detection and Adaptation

Time: 9:00-10:00
Room: MCLT101
Speaker: Jie Lu
Chair: Tanja Mitrovic

Session 1: Agents and Robotics

Time: 10:30-12:30
Room: AM101
Chair: Jeremiah D. Deng and Nathaniel du Preez-Wilkinson

Time Program
10:30-10:55 Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
(Shuyue Hu and Ho-Fung Leung)
10:55-11:20 Hierarchical Population Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
(Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis and Maryam Purvis)
11:20-11:35 Empowerment-Driven Single Agent Exploration for Locating Multiple Wireless Transmitters
(Daniel Barry, Andreas Willig and Graeme Woodward)
11:35-11:50 An approach for task execution in dynamic multirobot environment
(Amar Nath, A R Arun and Rajdeep Niyogi)
11:50-12:05 Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes
(Daniel Ginn, Alexandre Mendes, Stephan Chalup and Jake Fountain)
12:05-12:20 Intra-Task Curriculum Learning for Faster Reinforcement Learning in Video Games
(Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu)
Session 2: Constraints and Search

Time: 10:30-12:30
Room: AM102
Chair: Andy Song and Zheng Yan

Time Program
10:30-10:55 Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling using Niched Genetic Programming
(John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie Zhang)
10:55-11:20 Diversified Late Acceptance Search
(Majid Namazi, Conrad Sanderson, M.A.Hakim Newton, Md Masbaul Alam Polash and Abdul Sattar)
11:20-11:45 Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization
(Zheng Yan, Jie Lu and Guangquan Zhang)
11:45-12:10 Constraint-Guided Local Search for Single Mixed-Operation Runway
(Vahid Riahi, Ma Hakim Newton and Abdul Sattar)
12:10-12:25 Hyper-heuristic based Local Search for Combinatorial Optimisation Problems
(Ayad Turky, Nasser Sabar, Simon Dunstall and Andy Song)
Session 3: Machine Learning 1

Time: 10:30-12:30
Room: AM104
Chair: Grant Dick and Cao Truong Tran

Time Room
10:30-10:55 Feature Standardisation in Symbolic Regression
(Caitlin Owen, Grant Dick and Peter Whigham)
10:55-11:20 Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
(Cao Truong Tran, Mengjie Zhang, Bing Xue and Peter Andreae)
11:20-11:45 Field-regularised Factorization Machines for Mining the Maintenance Logs of Equipment
(Zhibin Li, Jian Zhang, Qiang Wu and Christina Kirsch)
11:45-12:10 Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study
(Damien O'Neill, Bing Xue and Mengjie Zhang)
12:10-12:25 Concept Drift Detector Selection for Hoeffding Adaptive Trees
(Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger and Sri Devi Ravana)
Session 4: Text Mining and NLP

Time: 13:30-15:30
Room: AM101
Chair: Peter Whigham and Xiaoying Gao

Time Program
13:30-13:55 Towards Compiling Textbooks from Wikipedia
(Ditty Mathew and Sutanu Chakraborti)
13:55-14:20 Measuring Language Complexity using Word Embeddings
(Peter Whigham, Mansi Chugh and Grant Dick)
14:20-14:45 Enhancing Decision Boundary Setting for Binary Text Classification
(Aisha Albqmi, Yuefeng Li and Yue Xu)
14:45-15:00 Stability of Word Embeddings using Word2Vec
(Mansi Chugh, Peter Whigham and Grant Dick)
15:00-15:15 Using Word Embeddings with Linear Models for Short Text Classification
(Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke and Susanne Schmeidl)
15:15-15:30 Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes
(Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh and Jinyan Li)
Session 5: Evolutionary Computation 1

Time: 13:30-15:30
Room: AM102
Chair: Tapabrata Ray and Lyndon While

Time Program
13:30-13:55 An improved Genetic Programming Hyper-heuristic for the Uncertain Capacitated Arc Routing Problem
(Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie Zhang)
13:55-14:20 Uncovering Performance Envelopes Through Optimum Design of Tests
(Tapabrata Ray, Ahsanul Habib, Hemant Singh and Michael Ryan)
14:20-14:45 Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm
(Chen Wang, Hui Ma, Gang Chen and Sven Hartmann)
14:45-15:10 Genetic Programming with Multi-Tree Representation for Dynamic Flexible Job Shop Scheduling
(Fangfang Zhang, Yi Mei and Mengjie Zhang)
15:10-15:25 A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling
(Wesley Cox, Tim French, Mark Reynolds and Lyndon While)
Session 6: Machine Learning 2

Time: 13:30-15:30
Room: AM104
Chair: Yuefeng Li and Qi Chen

Time Program
13:30-13:55 Random-Sets for Dealing with Uncertainties in Relevance Feature
(Abdullah Alharbi, Md Abul Bashar and Yuefeng Li)
13:55-14:20 Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches
(Yi Liu, Will Browne and Bing Xue)
14:20-14:45 Twin Bounded Large Margin Distribution Machine
(Haitao Xu, Brendan McCane and Lech Szymanski)
14:45-15:10 Link Prediction via Factorization Machines
(Lile Li and Wei Liu)
15:10-15:25 A Gaussian Filter-based Feature Learning Approach Using Genetic Programming to Image Classification
(Ying Bi, Bing Xue and Mengjie Zhang)
Session 7: Reasoning

Time: 16:00-17:30
Room: AM101
Chair: Michael Thielscher and Marcel Gehrke

Time Program
16:00-16:25 Adaptive Inference on Probabilistic Relational Models
(Tanya Braun and Ralf M?ller)
16:25-16:50 Sparse Approximation for Gaussian Process with Derivative Observations
(Ang Yang, Cheng Li, Santu Rana, Sunil Gupta and Svetha Venkatesh)
16:50-17:15 Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
(Marcel Gehrke, Tanya Braun and Ralf M?ller)
17:15-17:30 Reinterpretation with Systems of Spheres
(?zgür Lütfü ?zcep)
Session 8: Neural Networks

Time: 16:00-17:30
Room: AM102
Chair: Nabin Sharma and Yanan Sun

Time Program
16:00-16:25 Shark Detection from Aerial Imagery using Region-based CNN, A Study
(Nabin Sharma, Paul Scully-Power and Michael Blumenstein)
16:25-16:50 Cyclist Trajectory Prediction using Bidirectional Recurrent Neural Networks
(Khaled Saleh, Mohammed Hossny and Saeid Nahavandi)
16:50-17:15 A Hybrid Di?erential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classi?cation
(Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang)
17:15-17:30 Distinction between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
(Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li and Yang Liu)
Session 9: Classification

Time: 16:00-17:30
Room: AM104
Chair: Lin Shang and Izaro Goienetxea

Time Program
16:00-16:25 A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions using Autoencoders and Swarm Optimization
(Maisa Daoud and Michael Mayo)
16:25-16:50 Genetic Programming based on granular Computing for High-dimensional data in Classification
(Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang)
16:50-17:15 Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification
(Sweta Sharma and Reshma Rastogi Née Khemchandani)
17:15-17:30 On the Use of Matrix Based Representation to Deal with Automatic Composer Recognition
(Izaro Goienetxea, I?igo Mendialdua and Basilio Sierra)

Day 3: Thursday 13 Dec 2018

Keynote 2: AI for Good

Time: 9:00-10:00
Room: MCLT101
Speaker: Toby Walsh
Chair: Mengjie Zhang

Session 10: Generative Adversarial Network

Time: 10:30-12:30
Room: AM102
Chair: Ancheng Lin and Aaron Chen

Time Program
10:30-10:55 Multiple-task Learning and Knowledge Transfer using Generative Adversarial Capsule Nets
(Ancheng Lin, Jun Li, Lujuan Zhang, Zhenyuan Ma and Weiqi Luo)
10:55-11:20 Counterfactual Inference with Hidden Confounders using Implicit Generative Models
(Fujin Zhu, Adi Lin, Guangquan Zhang and Jie Lu)
11:20-11:45 A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions
(Ancheng Lin, Jun Li, Lujuan Zhang, Lei Shi and Zhenyuan Ma)
11:45-12:10 Image Up-sampling for Super Resolution with Generative Adversarial Network
(Shohei Tsunekawa, Katsufumi Inoue and Michifumi Yoshioka)
12:10-12:25 Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
(Marcel Gehrke, Tanya Braun and Ralf M?ller)
Session 11: Evolutionary Computation 2

Time: 10:30-12:30
Room: AM104
Chair: Kourosh Neshatian and Harith Al-Sahaf

Time Program
10:30-10:55 Adaptive Reference Point Generation for Many-Objective Optimization using NSGA-III
(Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang)
10:55-11:20 Improving Representation in Benchmarking of Binary PSO Algorithms
(Shinichi Yamada and Kourosh Neshatian)
11:20-11:45 Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy
(Ke Chen, Fengyu Zhou and Bing Xue)
11:45-12:10 Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms
(Hemant Singh, Kalyan Bhattacharjee, Tapabrata Ray and Sanaz Mostaghim)
12:10-12:25 A Genetic Programming approach for Constructing Foreground and Background Saliency Features for Salient Object Detection
(Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and Mengjie Zhang)
Session 12: Games

Time: 13:30-14:30
Room: AM101
Chair: Dongmo Zhang and Xiaogang Yan

Time Program
13:30-13:55 General Language Evolution in General Game Playing
(Armin Chitizadeh and Michael Thielscher)
13:55-14:20 A logic for reasoning about game descriptions
(Dongmo Zhang)
Session 13: Representation Learning

Time: 13:30-14:30
Room: AM102
Chair: Jun Li and Harith Al-Sahaf

Time Program
13:30-13:55 Discovering Granger-causal Features from Deep Learning Networks
(Aneesh Chivukula, Jun Li and Wei Liu)
13:55-14:20 A Multi-Tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features
(Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie Zhang)
Session 14: AI Applications and Innovations 1

Time: 13:30-14:30
Room: AM104
Chair: Saurabh Garg and Gang Chen

Time Program
13:30-13:55 Investigation of Unsupervised Models for Biodiversity Assessment
(Kvsn Rama Rao, Saurabh Garg and James Montgomery)
13:55-14:10 Multi-Objective Container Consolidation in Cloud Data Centers
(Tao Shi, Hui Ma and Gang Chen)
Keynote 3: Adaptive Business Intelligence, Global Optimisation, and Increasing Sales

Time: 14:30-15:30
Room: MCLT101
Speaker: Zbigniew Michalewicz
Chair: KC Tan

Session: Industry Session

Time: 16:00-16:45
Room: MCLT101
Chair: Ben Rein, Dongmo Zhang, and Peter Andreae

Session: Industry Panel Discussions

Time: 16:45-17:30
Room: MCLT101
Chair: Ben Rein, Dongmo Zhang, and Peter Andreae

Day 4: Friday 14 Dec 2018

Keynote 4: Applications of Artificial Intelligence to Condition-Based Maintenance

Time: 9:00-10:00
Room: MCLT101
Speaker: KC Tan
Chair: Bing Xue

Session 15: AI Applications and Innovations 2

Time: 10:30-12:30
Room: AM101
Chair: Jakub Kowalski and Yun Sing Koh

Time Program
10:30-10:55 Implementing Propositional Networks on FPGA
(Cezary Siwek, Jakub Kowalski, Chiara F. Sironi and Mark H. M. Winands)
10:55-11:20 OHC
Uncovering Overlapping Heterogeneous Communities
(Ranran Bian, Yun Sing Koh, Gillian Dobbie and Anna Divoli)
11:20-11:35 Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning
(Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun and Chuanjiang Wang)
11:35-11:50 Real-Time Collusive Shill Bidding Detection in Online Auctions
(Nazia Majadi, Jarrod Trevathan and Neil Bergmann)
11:50-12:15 Impact of compression ratio and reconstruction methods on ECG classification for E-Health gadgets: A preliminary study
(Sophie Zareei and Jeremiah D. Deng)
12:15-12:30 A Computational Framework for Autonomous Self-Repair Systems 
(Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe and Michael Levin)
Session 16: Machine Learning 3

Time: 10:30-12:30
Room: AM102
Chair: Nanpeng Yu and Qi Chen

Time Program
10:30-10:55 A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
(Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang)
10:55-11:20 Lift-per-drift
an evaluation metric for classification frameworks with concept drift detection
(Robert Anderson, Yun Sing Koh and Gillian Dobbie)
11:20-11:45 A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks
(Xiaogang Yan, Alistair Knott and Steven Mills)
11:45-12:00 Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking
(Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu)
12:00-12:15 Impacts of Climate Change and Socioeconomic Development on Electric Load in California
(Jie Shi and Nanpeng Yu)
12:15-12:30 A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of its Parts from a Single Demonstration
(Ahmed Abbas, Frederic Maire, Sareh Shirazi, Feras Dayoub and Markus Eich)
Session 17: Planning and Scheduling

Time: 10:30-12:30
Room: AM104
Chair: Dongmo Zhang and Asanka Nuwanpriya Kekirigoda Mudiyanselage

Time Program
10:30-10:45 Virtual Roundabout Protocol for Autonomous Vehicles
(Jianglin Qiao, Dongmo Zhang and Dave de Jonge)
10:45-11:00 A Genetic Programming Hyper-Heuristic Approach for online Resource Allocation in Container-based Clouds
(Boxiong Tan, Hui Ma and Yi Mei)
11:00-11:15 Autonomous Vehicle Constrained Path Planning using Opal for Dynamic Networks
(Kin-Ping Hui, Damien Phillips, Asanka Nuwanpriya Kekirigoda Mudiyanselage and Alan Allwright)
11:15-11:30 Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
(Fangfang Zhang, Yi Mei and Mengjie Zhang)

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