Will N. Browne

175 papers A 24B 30C 6Misc 6Journal 58Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding. CoRR Zongyuan Zhang, Christopher F. Lehnert, Will N. Browne, Jonathan M. Roberts
2026	J	`jnl`	Lateralized Learning for Multi-Class Visual Classification Tasks. IEEE Access Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2026	J	`jnl`	Understanding human-LLM interaction patterns in urban planning: A review and framework. Appl. Soft Comput. Ke Liu, Tan Yigitcanlar, Will N. Browne, Tracy Washington
2025	J	`jnl`	A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. Evol. Comput. Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2025	J	`jnl`	Emotion categorization from facial expressions: A review of datasets, methods, and research directions. Neurocomputing Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2025	A	`conf`	Enhancing Embodied Object Detection with Spatial Feature Memory. WACV Nicolas Harvey Chapman, Christopher F. Lehnert, Will N. Browne, Feras Dayoub
2025	A	`conf`	Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. GECCO Fumito Uwano, Will N. Browne
2025	—	`conf`	Evolving Modular Abstractions through Lateralized Learning in Classifier Systems. GECCO Companion Abubakar Siddique, Muhammad Iqbal, Will N. Browne, Gina M. Grimshaw
2025	A	`conf`	QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. IROS Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2025	J	`jnl`	QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2024	J	`jnl`	Attention-Based Methods for Emotion Categorization From Partially Covered Faces. IEEE Trans. Emerg. Top. Comput. Intell. Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2024	J	`jnl`	Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Chris Lehnert
2024	Misc	`conf`	Enhancing Visual Focus: Incorporating Attention into Rule-Based Machine Learning. IVCNZ Abubakar Siddique, Muhammad Iqbal, Will N. Browne
2024	—	`conf`	Evolutionary Machine Learning for Interpretable and eXplainable AI. GECCO Companion Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
2024	J	`jnl`	In situ skid estimation for mobile robots in outdoor environments. J. Field Robotics Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne
2024	—	`conf`	Intepretable Local Explanations Through Genetic Programming. GECCO Companion Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2024	—	`conf`	Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. GECCO Companion Cameron Coombe, David Howard, Will N. Browne
2024	J	`jnl`	Open-Vocabulary Part-Based Grasping. CoRR Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
2023	J	`jnl`	A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies. CoRR Jordan T. Bishop, Marcus Gallagher, Will N. Browne
2023	—	`conf`	Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. GECCO Companion Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng
2023	—	`conf`	Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. GECCO Companion Abubakar Siddique, Muhammad Iqbal, Shahab Ud Din, Will N. Browne
2023	J	`jnl`	ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. IEEE Trans. Evol. Comput. Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2023	—	`conf`	Hierarchical Frames-of-References in Learning Classifier Systems. GECCO Companion Fumito Uwano, Will N. Browne
2023	J	`jnl`	In situ slip estimation for mobile robots in outdoor environments. J. Field Robotics Payam Nourizadeh, Fiona Stevens McFadden, Will N. Browne
2023	J	`jnl`	Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence. CoRR Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2023	J	`jnl`	Lateralized Learning for Multi-Class Visual Classification Tasks. CoRR Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2023	J	`jnl`	Lateralized Learning to Solve Complex Boolean Problems. IEEE Trans. Cybern. Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2023	—	`conf`	Modern Applications of Evolutionary Rule-based Machine Learning. GECCO Companion Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
2023	J	`jnl`	Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS. CoRR Jordan T. Bishop, Marcus Gallagher, Will N. Browne
2023	J	`jnl`	Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2023	J	`jnl`	Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. IEEE Robotics Autom. Lett. Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2023	A	`conf`	Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2023	J	`jnl`	Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning. CoRR Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne
2022	J	`jnl`	A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings. Appl. Soft Comput. Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2022	—	`conf`	A comparison of rule compaction algorithms for michigan style learning classifier systems. GECCO Companion Yi Liu, Will N. Browne, Bing Xue
2022	J	`jnl`	Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation. IEEE Trans. Cybern. Guanqiang Gao, Yi Mei, Ya-Hui Jia, Will N. Browne, Bin Xin
2022	J	`jnl`	An anti-attack method for emotion categorization from images. Appl. Soft Comput. Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2022	J	`jnl`	Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation. IEEE Trans. Cybern. Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne
2022	B	`conf`	Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2022	J	`jnl`	Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks. IEEE Trans. Evol. Comput. Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2022	—	`conf`	Improving the search of learning classifier systems through interpretable feature clustering. GECCO Companion Hayden Andersen, Andrew Lensen, Will N. Browne
2022	—	`conf`	Learning classifier systems: cognitive inspired machine learning for eXplainable AI. GECCO Companion Abubakar Siddique, Will N. Browne
2022	A	`conf`	Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS. GECCO Jordan T. Bishop, Marcus Gallagher, Will N. Browne
2022	J	`jnl`	Visualizations for rule-based machine learning. Nat. Comput. Yi Liu, Will N. Browne, Bing Xue
2021	J	`jnl`	A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. ACM Trans. Evol. Learn. Optim. Yi Liu, Will N. Browne, Bing Xue
2021	—	`conf`	A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. GECCO Companion Jordan T. Bishop, Marcus Gallagher, Will N. Browne
2021	C	`conf`	Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing. TENCON Soheil Mohseni, Alan C. Brent, Daniel Burmester, Will N. Browne, Scott Kelly
2021	—	`conf`	Advanced Learning Classifier Systems. GECCO Companion Will N. Browne
2021	J	`jnl`	An Out-of-Distribution Attack Resistance Approach to Emotion Categorization. IEEE Trans. Artif. Intell. Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2021	B	`conf`	Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CEC Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2021	B	`conf`	Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. EvoApplications Harisu Abdullahi Shehu, Abubakar Siddique, Will N. Browne, Hedwig Eisenbarth
2021	J	`jnl`	Learning Optimality Theory for Accuracy-Based Learning Classifier Systems. IEEE Trans. Evol. Comput. Masaya Nakata, Will N. Browne
2021	B	`conf`	Particle Swarm Optimization for Feature Selection in Emotion Categorization. CEC Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2020	J	`jnl`	A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. CoRR Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020	B	`conf`	A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. CEC Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne
2020	A	`conf`	Absumption and subsumption based learning classifier systems. GECCO Yi Liu, Will N. Browne, Bing Xue
2020	B	`conf`	An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks. RO-MAN Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2020	J	`jnl`	Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CoRR Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020	—	`conf`	Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique. ISVC (2) Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
2020	A	`conf`	Lateralized learning for robustness against adversarial attacks in a visual classification system. GECCO Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2020	—	`conf`	Learning classifier systems: appreciating the lateralized approach. GECCO Companion Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2020	J	`jnl`	Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. CoRR Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020	A	`conf`	Relatedness measures to aid the transfer of building blocks among multiple tasks. GECCO Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2019	A	`conf`	Absumption to complement subsumption in learning classifier systems. GECCO Yi Liu, Will N. Browne, Bing Xue
2019	J	`jnl`	Figure-ground image segmentation using feature-based multi-objective genetic programming techniques. Neural Comput. Appl. Yuyu Liang, Mengjie Zhang, Will N. Browne
2019	Misc	`conf`	Identifying Simple Shapes to Classify the Big Picture. IVCNZ Megan Liang, Gabrielle Palado, Will N. Browne
2019	A	`conf`	Improvement of code fragment fitness to guide feature construction in XCS. GECCO Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2019	B	`conf`	Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. CEC Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2019	J	`jnl`	Utility function generated saccade strategies for robot active vision: a probabilistic approach. Auton. Robots Arindam Bhakta, Christopher Hollitt, Will N. Browne, Marcus Frean
2019	B	`conf`	XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems. CEC Zheming Zhang, Will N. Browne, Dale A. Carnegie
2018	B	`conf`	Adapting Bagging and Boosting to Learning Classifier Systems. EvoApplications Yi Liu, Will N. Browne, Bing Xue
2018	B	`conf`	Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning. CEC Xiu Cheng, Will N. Browne, Mengjie Zhang
2018	—	`conf`	Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. Australasian Conference on Artificial Intelligence Yi Liu, Will N. Browne, Bing Xue
2018	A	`conf`	Theoretical adaptation of multiple rule-generation in XCS. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami
2018	—	`conf`	Tutorials at PPSN 2018. PPSN (2) Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
2017	J	`jnl`	Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems. Evol. Comput. Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2017	J	`jnl`	Genetic programming for evolving figure-ground segmentors from multiple features. Appl. Soft Comput. Yuyu Liang, Mengjie Zhang, Will N. Browne
2017	J	`jnl`	Image feature selection using genetic programming for figure-ground segmentation. Eng. Appl. Artif. Intell. Yuyu Liang, Mengjie Zhang, Will N. Browne
2017	—	`book`	Introduction to Learning Classifier Systems Ryan J. Urbanowicz, Will N. Browne
2017	J	`jnl`	Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms. Appl. Soft Comput. Henry Williams, Will N. Browne, Dale A. Carnegie
2017	—	`conf`	Learning figure-ground image segmentors by genetic programming. GECCO (Companion) Yuyu Liang, Mengjie Zhang, Will N. Browne
2017	—	`conf`	SILVEREYE - The Implementation of Particle Swarm Optimization Algorithm in a Design Optimization Tool. CAAD Futures Judyta M. Cichocka, Agata Migalska, Will N. Browne, Edgar Rodriguez
2017	A	`conf`	Theoretical XCS parameter settings of learning accurate classifiers. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
2017	—	`conf`	Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning. SEAL Yi Liu, Bing Xue, Will N. Browne
2017	—	`conf`	Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming. ACALCI Yuyu Liang, Mengjie Zhang, Will N. Browne
2016	J	`jnl`	A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Trans. Evol. Comput. Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao
2016	B	`conf`	A comprehensive strategy for mammogram image classification using learning classifier systems. CEC Abubakar Siddique, Muhammad Iqbal, Will N. Browne
2016	B	`conf`	Adapting learning classifier systems to symbolic regression. CEC Syed Saud Naqvi, Will N. Browne
2016	—	`conf`	Code Fragments: Past and Future use in Transfer Learning. GECCO (Companion) Will N. Browne
2016	—	`conf`	Compaction for Code Fragment Based Learning Classifier Systems. ACALCI Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2016	B	`conf`	Compaction for code fragment based learning classifier systems - Redux. CEC Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2016	J	`jnl`	Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection. IEEE Trans. Image Process. Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2016	B	`conf`	Figure-ground image segmentation using genetic programming and feature selection. CEC Yuyu Liang, Mengjie Zhang, Will N. Browne
2016	—	`conf`	Hands-on Workshop on Learning Classifier Systems. GECCO (Companion) Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber
2016	A	`conf`	Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. GECCO Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2016	B	`conf`	Integration of code-fragment based learning classifier systems for multiple domain perception and learning. CEC Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne
2016	J	`jnl`	Learning feature fusion strategies for various image types to detect salient objects. Pattern Recognit. Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
2016	—	`conf`	Multi-objective Genetic Programming for Figure-Ground Image Segmentation. ACALCI Yuyu Liang, Mengjie Zhang, Will N. Browne
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Yuyu Liang, Mengjie Zhang, Will N. Browne
2016	J	`jnl`	Salient object detection via spectral matting. Pattern Recognit. Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2015	J	`jnl`	A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification. Int. J. Comput. Intell. Appl. Bing Xue, Mengjie Zhang, Will N. Browne
2015	B	`conf`	A Supervised Figure-Ground Segmentation Method Using Genetic Programming. EvoApplications Yuyu Liang, Mengjie Zhang, Will N. Browne
2015	Misc	`conf`	Accurate marker based distance measurement with single camera. IVCNZ A. Roberts, Will N. Browne, Christopher Hollitt
2015	J	`jnl`	An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework. Evol. Intell. Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2015	—	`conf`	Back to the Future: Learning Classifier Systems as Cognitive Systems. GECCO (Companion) Will N. Browne
2015	B	`conf`	Emotion inspired adaptive robotic path planning. CEC Henry Williams, Christopher P. Lee-Johnson, Will N. Browne, Dale A. Carnegie
2015	J	`jnl`	Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules. Soft Comput. Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2015	—	`conf`	Introducing Rule-based Machine Learning: A Practical Guide. GECCO (Companion) Ryan J. Urbanowicz, Will N. Browne
2015	Misc	`conf`	Introduction of a human based attention model for robotic navigation. IVCNZ Henry Williams, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2014	J	`jnl`	Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. Int. J. Comput. Intell. Appl. Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2014	—	`conf`	Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency. SEAL Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2014	C	`conf`	Factors that affect the design of a successful engineering programme: A case study. EDUCON Dale A. Carnegie, Will N. Browne
2014	B	`conf`	Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types. IEEE Congress on Evolutionary Computation Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2014	J	`jnl`	Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems. Evol. Comput. Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang
2014	—	`conf`	Image Segmentation: A Survey of Methods Based on Evolutionary Computation. SEAL Yuyu Liang, Mengjie Zhang, Will N. Browne
2014	J	`jnl`	Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms. Appl. Soft Comput. Bing Xue, Mengjie Zhang, Will N. Browne
2014	J	`jnl`	Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems. IEEE Trans. Evol. Comput. Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2014	—	`conf`	Reusing Learned Functionality to Address Complex Boolean Functions. SEAL Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2014	—	`conf`	Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features. GECCO (Companion) Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2014	A	`conf`	Salient object detection using learning classifiersystems that compute action mappings. GECCO Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
2014	—	`ed.`	Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings SEAL Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
2014	A	`conf`	Three-cornered coevolution learning classifier systems for classification tasks. GECCO Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013	—	`conf`	Adaptive artificial datasets through learning classifier systems for classification tasks. GECCO (Companion) Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013	J	`jnl`	Adaptive artificial datasets through learning classifier systems for classification tasks. Evol. Intell. Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013	—	`conf`	Adaptive artificial datasets to discover the effects of domain features for classification tasks. GECCO (Companion) Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013	Misc	`conf`	Combining object-based local and global feature statistics for salient object search. IVCNZ Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2013	—	`conf`	Comparison of two methods for computing action values in XCS with code-fragment actions. GECCO (Companion) Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013	B	`conf`	Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming. IEEE Congress on Evolutionary Computation Aaron Scoble, Will N. Browne, Bill Stephenson, Zane Bruce, Mengjie Zhang
2013	J	`jnl`	Evolving optimum populations with XCS classifier systems - XCS with code fragmented action. Soft Comput. Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013	A	`conf`	Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. GECCO Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013	—	`conf`	Learning classifier systems: introducing the user-friendly textbook. GECCO (Companion) Will N. Browne, Ryan J. Urbanowicz
2013	J	`jnl`	Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems. Evol. Intell. Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013	B	`conf`	Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems. IEEE Congress on Evolutionary Computation Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013	J	`jnl`	Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. Int. J. Artif. Intell. Tools Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2013	B	`conf`	Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification. EvoApplications Bing Xue, Mengjie Zhang, Will N. Browne
2013	B	`conf`	Optimizing visual attention models for predicting human fixations using Genetic Algorithms. IEEE Congress on Evolutionary Computation Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
2013	A	`conf`	PSO for feature construction and binary classification. GECCO Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne
2013	J	`jnl`	Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach. IEEE Trans. Cybern. Bing Xue, Mengjie Zhang, Will N. Browne
2013	B	`conf`	The effect of primitive sets on the expression of evolved images. IEEE Congress on Evolutionary Computation Roman Klapaukh, Will N. Browne, Mengjie Zhang
2013	Misc	`conf`	Trading off salience and uncertainty in sampling a visual scene. IVCNZ Arindam Bhakta, Marcus Frean, Christopher Hollitt, Will N. Browne
2012	J	`jnl`	A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. Connect. Sci. Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2012	A	`conf`	Extracting and using building blocks of knowledge in learning classifier systems. GECCO Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2012	B	`conf`	Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics. IEEE Congress on Evolutionary Computation Henry Williams, Will N. Browne
2012	A	`conf`	Multi-objective particle swarm optimisation (PSO) for feature selection. GECCO Bing Xue, Mengjie Zhang, Will N. Browne
2012	B	`conf`	New fitness functions in binary particle swarm optimisation for feature selection. IEEE Congress on Evolutionary Computation Bing Xue, Mengjie Zhang, Will N. Browne
2012	C	`conf`	Prediction of success in engineering study. EDUCON Dale A. Carnegie, Craig A. Watterson, Peter Andreae, Will N. Browne
2012	—	`conf`	Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection. ACSC Bing Xue, Mengjie Zhang, Will N. Browne
2012	C	`conf`	Strategies to improve engineering retention. EDUCON Dale A. Carnegie, Craig A. Watterson, Will N. Browne, James MacKay, Mel Lock, John Williams, Michael Forret
2012	A	`conf`	Two-cornered learning classifier systems for pattern generation and classification. GECCO Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2012	A	`conf`	XCS-based versus UCS-based feature pattern classification system. GECCO Toktam Ebadi, Mengjie Zhang, Will N. Browne
2012	—	`conf`	XCSR with Computed Continuous Action. Australasian Conference on Artificial Intelligence Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2011	—	`conf`	Automatically defined functions for learning classifier systems. GECCO (Companion) Muhammad Iqbal, Mengjie Zhang, Will N. Browne
2011	—	`conf`	Confusion matrices for improving performance of feature pattern classifier systems. GECCO (Companion) Ignas Kukenys, Will N. Browne, Mengjie Zhang
2011	—	`conf`	Developing an evolvable pattern generator using learning classifier systems. ICARA Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2011	—	`conf`	Transparent, Online Image Pattern Classification Using a Learning Classifier System. EvoApplications (1) Ignas Kukenys, Will N. Browne, Mengjie Zhang
2010	J	`jnl`	Engaging Robots: Innovative Outreach for Attracting Cybernetics Students. IEEE Trans. Educ. Richard J. Mitchell, Kevin Warwick, Will N. Browne, Mark Gasson, Jim Wyatt
2010	B	`conf`	Evolution of aesthetically pleasing images without human-in-the-loop. IEEE Congress on Evolutionary Computation Daniel L. Atkins, Roman Klapaukh, Will N. Browne, Mengjie Zhang
2010	—	`ed.`	Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers IWLCS Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz
2010	—	`conf`	Memory as the Substrate of Cognition: A Developmental Cognitive Robotics Perspective. EpiRob Paul Baxter, Will N. Browne
2010	A	`conf`	New crossover operators in linear genetic programming for multiclass object classification. GECCO Carlton Downey, Mengjie Zhang, Will N. Browne
2010	A	`conf`	Particle swarm optimisation for outlier detection. GECCO Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne
2010	—	`conf`	Sampling Methods in Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang
2010	B	`conf`	Using unrestricted loops in genetic programming for image classification. IEEE Congress on Evolutionary Computation Jan Larres, Mengjie Zhang, Will N. Browne
2009	—	`ch.`	Cognitive Robotics. Encyclopedia of Complexity and Systems Science Kazuhiko Kawamura, Will N. Browne
2009	A	`conf`	Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem. GECCO Madeleine Davis-Moradkhan, Will N. Browne, Peter Grindrod
2009	—	`conf`	Memory-Based Cognitive Framework: A Low-Level Association Approach to Cognitive Architectures. ECAL (1) Paul Baxter, Will N. Browne
2008	C	`conf`	A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems. HIS Madeleine Davis-Moradkhan, Will N. Browne
2008	J	`jnl`	Consumer Robotic Products. IEEE Robotics Autom. Mag. Jim Wyatt, Will N. Browne, Mark Gasson, Kevin Warwick
2008	—	`ch.`	The Role of Algorithms in Profiling. Profiling the European Citizen Bernhard Anrig, Will N. Browne, Mark Gasson
2007	—	`conf`	Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets. IWLCS Charalambos Ioannides, Will N. Browne
2007	—	`conf`	Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets. GECCO (Companion) Will N. Browne, Charalambos Ioannides
2006	B	`conf`	A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem. IEEE Congress on Evolutionary Computation Madeleine Davis-Moradkhan, Will N. Browne
2006	J	`jnl`	Knowledge-elicitation and data-mining: Fusing human and industrial plant information. Eng. Appl. Artif. Intell. Will N. Browne, L. Yao, Ian Postlethwaite, S. Lowes, M. Mar
2006	B	`conf`	Training Reformulated Product Units in Hybrid Neural Networks. IJCNN Philip T. Elliott, Diven Topiwala, Will N. Browne
2005	B	`conf`	Uncanny valley revisited. RO-MAN F. C. Gee, Will N. Browne, Kazuhiko Kawamura