Will N. Browne

According to our database, Will N. Browne authored at least 163 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Attention-Based Methods for Emotion Categorization From Partially Covered Faces.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

In situ skid estimation for mobile robots in outdoor environments.

Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne

J. Field Robotics, January, 2024

Open-Vocabulary Part-Based Grasping.

Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf

CoRR, 2024

Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory.

Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Chris Lehnert

CoRR, 2024

Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making.

Fumito Uwano, Will Neil Browne

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Machine Learning for Interpretable and eXplainable AI.

Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Phenotypic Learning Classifier System for Problems with Continuous Features.

Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus.

Cameron Coombe, David Howard, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Intepretable Local Explanations Through Genetic Programming.

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Lateralized Learning to Solve Complex Boolean Problems.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

IEEE Trans. Cybern., November, 2023

In situ slip estimation for mobile robots in outdoor environments.

Payam Nourizadeh, Fiona Stevens McFadden, Will N. Browne

J. Field Robotics, May, 2023

ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems.

Trung B. Nguyen, Will N. Browne, Mengjie Zhang

IEEE Trans. Evol. Comput., 2023

Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection.

Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert

IEEE Robotics Autom. Lett., 2023

Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning.

Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne

CoRR, 2023

Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

CoRR, 2023

Lateralized Learning for Multi-Class Visual Classification Tasks.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

CoRR, 2023

Hierarchical Frames-of-References in Learning Classifier Systems.

Fumito Uwano, Will N. Browne

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Modern Applications of Evolutionary Rule-based Machine Learning.

Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification.

Abubakar Siddique, Muhammad Iqbal, Shahab Din, Will N. Browne

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems.

Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms.

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

IEEE Trans. Evol. Comput., 2022

Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation.

Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne

IEEE Trans. Cybern., 2022

Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation.

Guanqiang Gao, Yi Mei, Ya-Hui Jia, Will N. Browne, Bin Xin

IEEE Trans. Cybern., 2022

Visualizations for rule-based machine learning.

Yi Liu, Will N. Browne, Bing Xue

Nat. Comput., 2022

A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Appl. Soft Comput., 2022

An anti-attack method for emotion categorization from images.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Appl. Soft Comput., 2022

Learning classifier systems: cognitive inspired machine learning for eXplainable AI.

Abubakar Siddique, Will N. Browne

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A comparison of rule compaction algorithms for michigan style learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS.

Jordan T. Bishop, Marcus Gallagher, Will N. Browne

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Improving the search of learning classifier systems through interpretable feature clustering.

Hayden Andersen, Andrew Lensen, Will N. Browne

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution.

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.

Yi Liu, Will N. Browne, Bing Xue

ACM Trans. Evol. Learn. Optim., 2021

Learning Optimality Theory for Accuracy-Based Learning Classifier Systems.

Masaya Nakata, Will N. Browne

IEEE Trans. Evol. Comput., 2021

An Out-of-Distribution Attack Resistance Approach to Emotion Categorization.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

IEEE Trans. Artif. Intell., 2021

Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing.

Soheil Mohseni, Alan C. Brent, Daniel Burmester, Will N. Browne, Scott Kelly

Proceedings of the IEEE Region 10 Conference, 2021

Advanced Learning Classifier Systems.

Will N. Browne

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies.

Jordan T. Bishop, Marcus Gallagher, Will N. Browne

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images.

Harisu Abdullahi Shehu, Abubakar Siddique, Will N. Browne, Hedwig Eisenbarth

Proceedings of the Applications of Evolutionary Computation, 2021

Particle Swarm Optimization for Feature Selection in Emotion Categorization.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.

Trung B. Nguyen, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.

Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang

CoRR, 2020

An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique.

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Lateralized learning for robustness against adversarial attacks in a visual classification system.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning classifier systems: appreciating the lateralized approach.

Abubakar Siddique, Will N. Browne, Gina M. Grimshaw

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Relatedness measures to aid the transfer of building blocks among multiple tasks.

Trung B. Nguyen, Will N. Browne, Mengjie Zhang

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Absumption and subsumption based learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions.

Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Neural Comput. Appl., 2019

Utility function generated saccade strategies for robot active vision: a probabilistic approach.

Arindam Bhakta, Christopher Hollitt, Will N. Browne, Marcus Frean

Auton. Robots, 2019

Identifying Simple Shapes to Classify the Big Picture.

Megan Liang, Gabrielle Palado, Will N. Browne

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Improvement of code fragment fitness to guide feature construction in XCS.

Trung B. Nguyen, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

How XCS can prevent misdistinguishing rule accuracy: a preliminary study.

Masaya Nakata, Will Neil Browne

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Absumption to complement subsumption in learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems.

Zheming Zhang, Will N. Browne, Dale A. Carnegie

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction.

Trung B. Nguyen, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Tutorials at PPSN 2018.

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Theoretical adaptation of multiple rule-generation in XCS.

Masaya Nakata, Will N. Browne, Tomoki Hamagami

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adapting Bagging and Boosting to Learning Classifier Systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the Applications of Evolutionary Computation, 2018

Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.

Xiu Cheng, Will N. Browne, Mengjie Zhang

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Introduction to Learning Classifier Systems

Ryan J. Urbanowicz, Will N. Browne

Springer Briefs in Intelligent Systems, Springer, ISBN: 978-3-662-55006-9, 2017

Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Evol. Comput., 2017

Image feature selection using genetic programming for figure-ground segmentation.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Eng. Appl. Artif. Intell., 2017

Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms.

Henry Williams, Will N. Browne, Dale A. Carnegie

Appl. Soft Comput., 2017

Genetic programming for evolving figure-ground segmentors from multiple features.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Appl. Soft Comput., 2017

Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.

Yi Liu, Bing Xue, Will N. Browne

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Theoretical XCS parameter settings of learning accurate classifiers.

Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Learning figure-ground image segmentors by genetic programming.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

SILVEREYE - The Implementation of Particle Swarm Optimization Algorithm in a Design Optimization Tool.

Judyta M. Cichocka, Agata Migalska, Will N. Browne, Edgar Rodriguez

Proceedings of the Computer-Aided Architectural Design: Future Trajectories, 2017

Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Artificial Life and Computational Intelligence, 2017

2016

Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

IEEE Trans. Image Process., 2016

A Survey on Evolutionary Computation Approaches to Feature Selection.

Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao

IEEE Trans. Evol. Comput., 2016

Salient object detection via spectral matting.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Pattern Recognit., 2016

Learning feature fusion strategies for various image types to detect salient objects.

Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang

Pattern Recognit., 2016

Proceedings in Adaptation, Learning and Optimization.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Hands-on Workshop on Learning Classifier Systems.

Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Code Fragments: Past and Future use in Transfer Learning.

Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A comprehensive strategy for mammogram image classification using learning classifier systems.

Abubakar Siddique, Muhammad Iqbal, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Adapting learning classifier systems to symbolic regression.

Syed Saud Naqvi, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Integration of code-fragment based learning classifier systems for multiple domain perception and learning.

Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Figure-ground image segmentation using genetic programming and feature selection.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Compaction for code fragment based learning classifier systems - Redux.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective Genetic Programming for Figure-Ground Image Segmentation.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Artificial Life and Computational Intelligence, 2016

Compaction for Code Fragment Based Learning Classifier Systems.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Artificial Life and Computational Intelligence, 2016

2015

Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Soft Comput., 2015

A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.

Bing Xue, Mengjie Zhang, Will N. Browne

Int. J. Comput. Intell. Appl., 2015

An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Evol. Intell., 2015

Introduction of a human based attention model for robotic navigation.

Henry Williams, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Accurate marker based distance measurement with single camera.

A. Roberts, Will N. Browne, Christopher Hollitt

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Introducing Rule-based Machine Learning: A Practical Guide.

Ryan J. Urbanowicz, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Back to the Future: Learning Classifier Systems as Cognitive Systems.

Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Supervised Figure-Ground Segmentation Method Using Genetic Programming.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Emotion inspired adaptive robotic path planning.

Henry Williams, Christopher P. Lee-Johnson, Will N. Browne, Dale A. Carnegie

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

How should Learning Classifier Systems cover a state-action space?

Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

IEEE Trans. Evol. Comput., 2014

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.

Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang

Int. J. Comput. Intell. Appl., 2014

Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.

Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang

Evol. Comput., 2014

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.

Bing Xue, Mengjie Zhang, Will N. Browne

Appl. Soft Comput., 2014

Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Image Segmentation: A Survey of Methods Based on Evolutionary Computation.

Yuyu Liang, Mengjie Zhang, Will N. Browne

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Reusing Learned Functionality to Address Complex Boolean Functions.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Three-cornered coevolution learning classifier systems for classification tasks.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Salient object detection using learning classifiersystems that compute action mappings.

Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Factors that affect the design of a successful engineering programme: A case study.

Dale A. Carnegie, Will N. Browne

Proceedings of the 2014 IEEE Global Engineering Education Conference, 2014

Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.

Bing Xue, Mengjie Zhang, Will N. Browne

IEEE Trans. Cybern., 2013

Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Soft Comput., 2013

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.

Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang

Int. J. Artif. Intell. Tools, 2013

Adaptive artificial datasets through learning classifier systems for classification tasks.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Evol. Intell., 2013

Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Evol. Intell., 2013

Combining object-based local and global feature statistics for salient object search.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Trading off salience and uncertainty in sampling a visual scene.

Arindam Bhakta, Marcus Frean, Christopher Hollitt, Will N. Browne

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

PSO for feature construction and binary classification.

Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Adaptive artificial datasets to discover the effects of domain features for classification tasks.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparison of two methods for computing action values in XCS with code-fragment actions.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Learning classifier systems: introducing the user-friendly textbook.

Will N. Browne, Ryan J. Urbanowicz

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.

Bing Xue, Mengjie Zhang, Will N. Browne

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming.

Aaron Scoble, Will N. Browne, Bill Stephenson, Zane Bruce, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Optimizing visual attention models for predicting human fixations using Genetic Algorithms.

Syed Saud Naqvi, Will N. Browne, Christopher Hollitt

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

The effect of primitive sets on the expression of evolved images.

Roman Klapaukh, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.

Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang

Connect. Sci., 2012

Multi-objective particle swarm optimisation (PSO) for feature selection.

Bing Xue, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Two-cornered learning classifier systems for pattern generation and classification.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Extracting and using building blocks of knowledge in learning classifier systems.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

XCS-based versus UCS-based feature pattern classification system.

Toktam Ebadi, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Strategies to improve engineering retention.

Dale A. Carnegie, Craig A. Watterson, Will N. Browne, James MacKay, Mel Lock, John Williams, Michael Forret

Proceedings of the IEEE Global Engineering Education Conference, 2012

Prediction of success in engineering study.

Dale A. Carnegie, Craig A. Watterson, Peter Andreae, Will N. Browne

Proceedings of the IEEE Global Engineering Education Conference, 2012

New fitness functions in binary particle swarm optimisation for feature selection.

Bing Xue, Mengjie Zhang, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics.

Henry Williams, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

XCSR with Computed Continuous Action.

Muhammad Iqbal, Will N. Browne, Mengjie Zhang

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.

Bing Xue, Mengjie Zhang, Will N. Browne

Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2011

Developing an evolvable pattern generator using learning classifier systems.

Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang

Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Confusion matrices for improving performance of feature pattern classifier systems.

Ignas Kukenys, Will N. Browne, Mengjie Zhang

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automatically defined functions for learning classifier systems.

Muhammad Iqbal, Mengjie Zhang, Will N. Browne

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Transparent, Online Image Pattern Classification Using a Learning Classifier System.

Ignas Kukenys, Will N. Browne, Mengjie Zhang

Proceedings of the Applications of Evolutionary Computation, 2011

2010

Engaging Robots: Innovative Outreach for Attracting Cybernetics Students.

Richard J. Mitchell, Kevin Warwick, Will N. Browne, Mark Gasson, Jim Wyatt

IEEE Trans. Educ., 2010

Particle swarm optimisation for outlier detection.

Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New crossover operators in linear genetic programming for multiclass object classification.

Carlton Downey, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Memory as the Substrate of Cognition: A Developmental Cognitive Robotics Perspective.

Paul Baxter, Will N. Browne

Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

Using unrestricted loops in genetic programming for image classification.

Jan Larres, Mengjie Zhang, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolution of aesthetically pleasing images without human-in-the-loop.

Daniel L. Atkins, Roman Klapaukh, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Sampling Methods in Genetic Programming for Classification with Unbalanced Data.

Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Cognitive Robotics.

Kazuhiko Kawamura, Will N. Browne

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem.

Madeleine Davis-Moradkhan, Will N. Browne, Peter Grindrod

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Memory-Based Cognitive Framework: A Low-Level Association Approach to Cognitive Architectures.

Paul Baxter, Will N. Browne

Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

2008

Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction.

William N. L. Browne

Proceedings of the Learning Classifier Systems in Data Mining, 2008

Consumer Robotic Products.

Jim Wyatt, Will N. Browne, Mark Gasson, Kevin Warwick

IEEE Robotics Autom. Mag., 2008

A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems.

Madeleine Davis-Moradkhan, Will N. Browne

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

The Role of Algorithms in Profiling.

Bernhard Anrig, Will N. Browne, Mark Gasson

Proceedings of the Profiling the European Citizen, Cross-Disciplinary Perspectives, 2008

2007

Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets.

Will N. Browne, Charalambos Ioannides

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Knowledge-elicitation and data-mining: Fusing human and industrial plant information.

Will N. Browne, L. Yao, Ian Postlethwaite, S. Lowes, M. Mar

Eng. Appl. Artif. Intell., 2006

Training Reformulated Product Units in Hybrid Neural Networks.

Philip T. Elliott, Diven Topiwala, Will N. Browne

Proceedings of the International Joint Conference on Neural Networks, 2006

A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem.

Madeleine Davis-Moradkhan, Will N. Browne

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Uncanny valley revisited.

F. C. Gee, Will N. Browne, Kazuhiko Kawamura

Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005

An autonomous explore/exploit strategy.

Alex McMahon, Dan Scott, William N. L. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An abstraction agorithm for genetics-based reinforcement learning.

William N. L. Browne, Dan Scott

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2002

Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System.

William N. L. Browne

Proceedings of the Learning Classifier Systems, 5th International Workshop, 2002