Shuyue Hu and Ho-Fung Leung
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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
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Hierarchical Population Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
Dongmo Zhang
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A logic for reasoning about game descriptions
Armin Chitizadeh and Michael Thielscher
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General Language Evolution in General Game Playing
Sophie Zareei and Jeremiah D. Deng
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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
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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
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Implementing Propositional Networks on FPGA
Kvsn Rama Rao, Saurabh Garg and James Montgomery
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Investigation of Unsupervised Models for Biodiversity Assessment
Zhibin Li, Jian Zhang, Qiang Wu and Christina Kirsch
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Field-regularised Factorization Machines for Mining the Maintenance Logs of Equipment
Ranran Bian, Yun Sing Koh, Gillian Dobbie and Anna Divoli
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OHC : Uncovering Overlapping Heterogeneous Communities
Nabin Sharma, Paul Scully-Power and Michael Blumenstein
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Shark Detection from Aerial Imagery using Region-based CNN, A Study
Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang
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A Hybrid DE Approach to Designing CNN for Image Classification
Shohei Tsunekawa, Katsufumi Inoue and Michifumi Yoshioka
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Image Up-sampling for Super Resolution with Generative Adversarial Network
Xiaogang Yan, Alistair Knott and Steven Mills
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A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks
Khaled Saleh, Mohammed Hossny and Saeid Nahavandi
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Cyclist Trajectory Prediction using Bidirectional Recurrent Neural Networks
Majid Namazi, Conrad Sanderson, M.A.Hakim Newton, Md Masbaul Alam Polash and Abdul Sattar
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Diversified Late Acceptance Search
Zheng Yan, Jie Lu and Guangquan Zhang
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Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization
Vahid Riahi, Ma Hakim Newton and Abdul Sattar
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Constraint-Guided Local Search for Single Mixed-Operation Runway
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang
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A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang
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Adaptive Reference Point Generation for Many-Objective Optimization using NSGA-III
Shinichi Yamada and Kourosh Neshatian
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Improving Representation in Benchmarking of Binary PSO Algorithms
Hemant Singh, Kalyan Bhattacharjee, Tapabrata Ray and Sanaz Mostaghim
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Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms
Yi Liu, Will Browne and Bing Xue
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Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches
Ke Chen, Fengyu Zhou and Bing Xue
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Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy
Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie Zhang
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An improved Genetic Programming Hyper-heuristic for the Uncertain Capacitated Arc Routing Problem
Tapabrata Ray, Ahsanul Habib, Hemant Singh and Michael Ryan
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Uncovering Performance Envelopes Through Optimum Design of Tests
Chen Wang, Hui Ma, Gang Chen and Sven Hartmann
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Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm
Fangfang Zhang, Yi Mei and Mengjie Zhang
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Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling
Tanya Braun and Ralf Möller
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Adaptive Inference on Probabilistic Relational Models
Ang Yang, Cheng Li, Santu Rana, Sunil Gupta and Svetha Venkatesh
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Sparse Approximation for Gaussian Process with Derivative Observations
Fujin Zhu, Adi Lin, Guangquan Zhang and Jie Lu
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Counterfactual Inference with Hidden Confounders using Implicit Generative Models
Marcel Gehrke, Tanya Braun and Ralf Möller
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Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
Caitlin Owen, Grant Dick and Peter Whigham
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Feature Standardisation in Symbolic Regression
Cao Truong Tran, Mengjie Zhang, Bing Xue and Peter Andreae
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Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
Sweta Sharma and Reshma Rastogi Née Khemchandani
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Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification
Maisa Daoud and Michael Mayo
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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
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Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study
Robert Anderson, Yun Sing Koh and Gillian Dobbie
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Lift-per-drift : an evaluation metric for classification frameworks with concept drift detection
Wenbin Pei, Bing Xue and Mengjie Zhang
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Genetic Programming based on granular Computing for High-dimensional data in Classification
Abdullah Alharbi, Md Abul Bashar and Yuefeng Li
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Random-Sets for Dealing with Uncertainties in Relevance Feature
Ancheng Lin, Jun Li, Lujuan Zhang and Zhenyuan Ma
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Multiple-task Learning and Knowledge Transfer using Generative Adversarial Capsule Nets
Lile Li and Wei Liu
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Link Prediction via Factorization Machines
Aneesh Chivukula, Jun Li and Wei Liu
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Discovering Granger-causal Features from Deep Learning Networks
Ancheng Lin, Jun Li, Lujuan Zhang and Zhenyuan Ma
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A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions
Haitao Xu, Brendan McCane and Lech Szymanski
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Twin Bounded Large Margin Distribution Machine
John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie Zhang
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Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling using Niched Genetic Programming
Tao Shi, Hui Ma and Gang Chen
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Multi-Objective Container Consolidation in Cloud Data Centers
Ditty Mathew and Sutanu Chakraborti
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Towards Compiling Textbooks from Wikipedia
Aisha Albqmi, Yuefeng Li and Yue Xu
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Enhancing Decision Boundary Setting for Binary Text Classification
Peter Whigham, Mansi Chugh and Grant Dick
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Measuring Language Complexity using Word Embeddings
Daniel Barry, Andreas Willig and Graeme Woodward
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Empowerment-Driven Single Agent Exploration For Locating Multiple Wireless Transmitters
Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu
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Intra-Task Curriculum Learning for Faster Reinforcement Learning in Video Games
Amar Nath, A R Arun and Rajdeep Niyogi
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An approach for task execution in dynamic multirobot environment
Daniel Ginn, Alexandre Mendes, Stephan Chalup and Jake Fountain
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Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes
Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun and Chuanjiang Wang
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Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning
Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh and Jinyan Li
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Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes
Jie Shi and Nanpeng Yu
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Impacts of Climate Change and Socioeconomic Development on Electric Load in California
Boxiong Tan, Hui Ma and Yi Mei
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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
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A Computational Framework for Autonomous Self-Repair Systems
Nazia Majadi, Jarrod Trevathan and Neil Bergmann
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Real-Time Collusive Shill Bidding Detection in Online Auctions
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and Mengjie Zhang
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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
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Distinction between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
Ying Bi, Bing Xue and Mengjie Zhang
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A Gaussian Filter-based Feature Learning Approach Using Genetic Programming to Image Classification
Ayad Turky, Nasser Sabar, Simon Dunstall and Andy Song
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Hyper-heuristic based Local Search for Combinatorial Optimisation Problems
Wesley Cox, Tim French, Mark Reynolds and Lyndon While
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A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling
Özgür Lütfü Özcep
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Reinterpretation with Systems of Spheres
Izaro Goienetxea, Iñigo Mendialdua and Basilio Sierra
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On the Use of Matrix Based Representation to Deal With Automatic Composer Recognition
Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu
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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
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Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger and Sri Devi Ravana
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Concept Drift Detector Selection For Hoeffding Adaptive Trees
Kin-Ping Hui, Damien Phillips, Asanka Nuwanpriya Kekirigoda Mudiyanselage and Alan Allwright
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Autonomous Vehicle Constrained Path Planning using Opal for Dynamic Networks
Ahmed Abbas, Frederic Maire, Sareh Shirazi and Feras Dayoub
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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
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Surrogate-assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
Jianglin Qiao, Dongmo Zhang and Dave de Jonge
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Virtual Roundabout Protocol for Autonomous Vehicles
Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke and Susanne Schmeidl
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Using Word Embeddings with Linear Models for Short Text Classification
Mansi Chugh, Peter Whigham and Grant Dick
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Stability of Word Embeddings using Word2Vec