Accepted Papers

The List of Long Papers

  • Shuyue Hu and Ho-Fung Leung . Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
  • Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis and Maryam Purvis . Hierarchical Population Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
  • Dongmo Zhang . A logic for reasoning about game descriptions
  • Armin Chitizadeh and Michael Thielscher . General Language Evolution in General Game Playing
  • Sophie Zareei and Jeremiah D. Deng . Impact of compression ratio and reconstruction methods on ECG classification for E-Health gadgets: A preliminary study
  • Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie Zhang . A Multi-tree Genetic Programming Representation For Melanoma Detection Using Local and Global Features
  • Cezary Siwek, Jakub Kowalski, Chiara F. Sironi and Mark H. M. Winands . Implementing Propositional Networks on FPGA
  • Kvsn Rama Rao, Saurabh Garg and James Montgomery . Investigation of Unsupervised Models for Biodiversity Assessment
  • Zhibin Li, Jian Zhang, Qiang Wu and Christina Kirsch . Field-regularised Factorization Machines for Mining the Maintenance Logs of Equipment
  • Ranran Bian, Yun Sing Koh, Gillian Dobbie and Anna Divoli . OHC : Uncovering Overlapping Heterogeneous Communities
  • Nabin Sharma, Paul Scully-Power and Michael Blumenstein . Shark Detection from Aerial Imagery using Region-based CNN, A Study
  • Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang . A Hybrid DE Approach to Designing CNN for Image Classification
  • Shohei Tsunekawa, Katsufumi Inoue and Michifumi Yoshioka . Image Up-sampling for Super Resolution with Generative Adversarial Network
  • Xiaogang Yan, Alistair Knott and Steven Mills . A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks
  • Khaled Saleh, Mohammed Hossny and Saeid Nahavandi . Cyclist Trajectory Prediction using Bidirectional Recurrent Neural Networks
  • Majid Namazi, Conrad Sanderson, M.A.Hakim Newton, Md Masbaul Alam Polash and Abdul Sattar . Diversified Late Acceptance Search
  • Zheng Yan, Jie Lu and Guangquan Zhang . Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization
  • Vahid Riahi, Ma Hakim Newton and Abdul Sattar . Constraint-Guided Local Search for Single Mixed-Operation Runway
  • Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang . A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
  • Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang . Adaptive Reference Point Generation for Many-Objective Optimization using NSGA-III
  • Shinichi Yamada and Kourosh Neshatian . Improving Representation in Benchmarking of Binary PSO Algorithms
  • Hemant Singh, Kalyan Bhattacharjee, Tapabrata Ray and Sanaz Mostaghim . Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms
  • Yi Liu, Will Browne and Bing Xue . Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches
  • Ke Chen, Fengyu Zhou and Bing Xue . Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy
  • Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie Zhang . An improved Genetic Programming Hyper-heuristic for the Uncertain Capacitated Arc Routing Problem
  • Tapabrata Ray, Ahsanul Habib, Hemant Singh and Michael Ryan . Uncovering Performance Envelopes Through Optimum Design of Tests
  • Chen Wang, Hui Ma, Gang Chen and Sven Hartmann . Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm
  • Fangfang Zhang, Yi Mei and Mengjie Zhang . Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling
  • Tanya Braun and Ralf Möller . Adaptive Inference on Probabilistic Relational Models
  • Ang Yang, Cheng Li, Santu Rana, Sunil Gupta and Svetha Venkatesh . Sparse Approximation for Gaussian Process with Derivative Observations
  • Fujin Zhu, Adi Lin, Guangquan Zhang and Jie Lu . Counterfactual Inference with Hidden Confounders using Implicit Generative Models
  • Marcel Gehrke, Tanya Braun and Ralf Möller . Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
  • Caitlin Owen, Grant Dick and Peter Whigham . Feature Standardisation in Symbolic Regression
  • Cao Truong Tran, Mengjie Zhang, Bing Xue and Peter Andreae . Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
  • Sweta Sharma and Reshma Rastogi Née Khemchandani . Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification
  • Maisa Daoud and Michael Mayo . A Novel Synthetic Over-sampling Technique for Imbalanced Classification of Gene Expressions using Autoencoders and Swarm Optimization
  • Damien O'Neill, Bing Xue and Mengjie Zhang . Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study
  • Robert Anderson, Yun Sing Koh and Gillian Dobbie . Lift-per-drift : an evaluation metric for classification frameworks with concept drift detection
  • Wenbin Pei, Bing Xue and Mengjie Zhang . Genetic Programming based on granular Computing for High-dimensional data in Classification
  • Abdullah Alharbi, Md Abul Bashar and Yuefeng Li . Random-Sets for Dealing with Uncertainties in Relevance Feature
  • Ancheng Lin, Jun Li, Lujuan Zhang and Zhenyuan Ma . Multiple-task Learning and Knowledge Transfer using Generative Adversarial Capsule Nets
  • Lile Li and Wei Liu . Link Prediction via Factorization Machines
  • Aneesh Chivukula, Jun Li and Wei Liu . Discovering Granger-causal Features from Deep Learning Networks
  • Ancheng Lin, Jun Li, Lujuan Zhang and Zhenyuan Ma . A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions
  • Haitao Xu, Brendan McCane and Lech Szymanski . Twin Bounded Large Margin Distribution Machine
  • John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie Zhang . Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling using Niched Genetic Programming
  • Tao Shi, Hui Ma and Gang Chen . Multi-Objective Container Consolidation in Cloud Data Centers
  • Ditty Mathew and Sutanu Chakraborti . Towards Compiling Textbooks from Wikipedia
  • Aisha Albqmi, Yuefeng Li and Yue Xu . Enhancing Decision Boundary Setting for Binary Text Classification
  • Peter Whigham, Mansi Chugh and Grant Dick . Measuring Language Complexity using Word Embeddings


The List of Short Papers

  • Daniel Barry, Andreas Willig and Graeme Woodward . Empowerment-Driven Single Agent Exploration For Locating Multiple Wireless Transmitters
  • Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu . Intra-Task Curriculum Learning for Faster Reinforcement Learning in Video Games
  • Amar Nath, A R Arun and Rajdeep Niyogi . An approach for task execution in dynamic multirobot environment
  • Daniel Ginn, Alexandre Mendes, Stephan Chalup and Jake Fountain . Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes
  • Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun and Chuanjiang Wang . Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning
  • Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh and Jinyan Li . Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes
  • Jie Shi and Nanpeng Yu . Impacts of Climate Change and Socioeconomic Development on Electric Load in California
  • Boxiong Tan, Hui Ma and Yi Mei . A Genetic Programming Hyper-heuristic Approach for online Resource Allocation in Container-based Clouds
  • Nguyen Minh-Thai Tran, Jagannath Arya, Sandhya Samarasinghe and Michael Levin . A Computational Framework for Autonomous Self-Repair Systems
  • Nazia Majadi, Jarrod Trevathan and Neil Bergmann . Real-Time Collusive Shill Bidding Detection in Online Auctions
  • Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and Mengjie Zhang . A Genetic Programming approach for Constructing Foreground and Background Saliency Features for Salient Object Detection
  • Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li and Yang Liu . Distinction between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
  • Ying Bi, Bing Xue and Mengjie Zhang . A Gaussian Filter-based Feature Learning Approach Using Genetic Programming to Image Classification
  • Ayad Turky, Nasser Sabar, Simon Dunstall and Andy Song . Hyper-heuristic based Local Search for Combinatorial Optimisation Problems
  • Wesley Cox, Tim French, Mark Reynolds and Lyndon While . A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling
  • Özgür Lütfü Özcep . Reinterpretation with Systems of Spheres
  • Izaro Goienetxea, Iñigo Mendialdua and Basilio Sierra . On the Use of Matrix Based Representation to Deal With Automatic Composer Recognition
  • Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu . Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking
  • Marcel Gehrke, Tanya Braun and Ralf Möller . Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
  • Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger and Sri Devi Ravana . Concept Drift Detector Selection For Hoeffding Adaptive Trees
  • Kin-Ping Hui, Damien Phillips, Asanka Nuwanpriya Kekirigoda Mudiyanselage and Alan Allwright . Autonomous Vehicle Constrained Path Planning using Opal for Dynamic Networks
  • Ahmed Abbas, Frederic Maire, Sareh Shirazi and Feras Dayoub . A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of its Parts from a Single Demonstration
  • Fangfang Zhang, Yi Mei and Mengjie Zhang . Surrogate-assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
  • Jianglin Qiao, Dongmo Zhang and Dave de Jonge . Virtual Roundabout Protocol for Autonomous Vehicles
  • Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke and Susanne Schmeidl . Using Word Embeddings with Linear Models for Short Text Classification
  • Mansi Chugh, Peter Whigham and Grant Dick . Stability of Word Embeddings using Word2Vec


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