Will N. Browne

Orcid: 0000-0001-8979-2224

According to our database1, Will N. Browne authored at least 158 papers between 2002 and 2024.

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Bibliography

2024
Attention-Based Methods for Emotion Categorization From Partially Covered Faces.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

In situ skid estimation for mobile robots in outdoor environments.
J. Field Robotics, January, 2024

Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory.
CoRR, 2024

A Phenotypic Learning Classifier System for Problems with Continuous Features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Lateralized Learning to Solve Complex Boolean Problems.
IEEE Trans. Cybern., November, 2023

In situ slip estimation for mobile robots in outdoor environments.
J. Field Robotics, May, 2023

ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems.
IEEE Trans. Evol. Comput., 2023

Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection.
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.
CoRR, 2023

Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence.
CoRR, 2023

Lateralized Learning for Multi-Class Visual Classification Tasks.
CoRR, 2023

Hierarchical Frames-of-References in Learning Classifier Systems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Modern Applications of Evolutionary Rule-based Machine Learning.
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.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks.
IEEE Trans. Evol. Comput., 2022

Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation.
IEEE Trans. Cybern., 2022

Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation.
IEEE Trans. Cybern., 2022

Visualizations for rule-based machine learning.
Nat. Comput., 2022

A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings.
Appl. Soft Comput., 2022

An anti-attack method for emotion categorization from images.
Appl. Soft Comput., 2022

Learning classifier systems: cognitive inspired machine learning for eXplainable AI.
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.
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.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.
ACM Trans. Evol. Learn. Optim., 2021

Learning Optimality Theory for Accuracy-Based Learning Classifier Systems.
IEEE Trans. Evol. Comput., 2021

An Out-of-Distribution Attack Resistance Approach to Emotion Categorization.
IEEE Trans. Artif. Intell., 2021

Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing.
Proceedings of the IEEE Region 10 Conference, 2021

Advanced Learning Classifier Systems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images.
Proceedings of the Applications of Evolutionary Computation, 2021

Particle Swarm Optimization for Feature Selection in Emotion Categorization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.
CoRR, 2020

An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks.
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.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Lateralized learning for robustness against adversarial attacks in a visual classification system.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning classifier systems: appreciating the lateralized approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Relatedness measures to aid the transfer of building blocks among multiple tasks.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Absumption and subsumption based learning classifier systems.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.
Neural Comput. Appl., 2019

Utility function generated saccade strategies for robot active vision: a probabilistic approach.
Auton. Robots, 2019

Identifying Simple Shapes to Classify the Big Picture.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

How XCS can prevent misdistinguishing rule accuracy: a preliminary study.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Absumption to complement subsumption in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Theoretical adaptation of multiple rule-generation in XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adapting Bagging and Boosting to Learning Classifier Systems.
Proceedings of the Applications of Evolutionary Computation, 2018

Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Introduction to Learning Classifier Systems
Springer Briefs in Intelligent Systems, Springer, ISBN: 978-3-662-55006-9, 2017

Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.
Evol. Comput., 2017

Image feature selection using genetic programming for figure-ground segmentation.
Eng. Appl. Artif. Intell., 2017

Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms.
Appl. Soft Comput., 2017

Genetic programming for evolving figure-ground segmentors from multiple features.
Appl. Soft Comput., 2017

Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Theoretical XCS parameter settings of learning accurate classifiers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Learning figure-ground image segmentors by genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

SILVEREYE - The Implementation of Particle Swarm Optimization Algorithm in a Design Optimization Tool.
Proceedings of the Computer-Aided Architectural Design: Future Trajectories, 2017

Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection.
IEEE Trans. Image Process., 2016

A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evol. Comput., 2016

Salient object detection via spectral matting.
Pattern Recognit., 2016

Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Hands-on Workshop on Learning Classifier Systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Code Fragments: Past and Future use in Transfer Learning.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Adapting learning classifier systems to symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Integration of code-fragment based learning classifier systems for multiple domain perception and learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Figure-ground image segmentation using genetic programming and feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Compaction for code fragment based learning classifier systems - Redux.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective Genetic Programming for Figure-Ground Image Segmentation.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Compaction for Code Fragment Based Learning Classifier Systems.
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.
Soft Comput., 2015

A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl., 2015

An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework.
Evol. Intell., 2015

Introduction of a human based attention model for robotic navigation.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Accurate marker based distance measurement with single camera.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Introducing Rule-based Machine Learning: A Practical Guide.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Back to the Future: Learning Classifier Systems as Cognitive Systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Supervised Figure-Ground Segmentation Method Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Emotion inspired adaptive robotic path planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

How should Learning Classifier Systems cover a state-action space?
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Trans. Evol. Comput., 2014

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014

Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.
Evol. Comput., 2014

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput., 2014

Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Image Segmentation: A Survey of Methods Based on Evolutionary Computation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Reusing Learned Functionality to Address Complex Boolean Functions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Three-cornered coevolution learning classifier systems for classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Salient object detection using learning classifiersystems that compute action mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Factors that affect the design of a successful engineering programme: A case study.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern., 2013

Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.
Soft Comput., 2013

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013

Adaptive artificial datasets through learning classifier systems for classification tasks.
Evol. Intell., 2013

Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evol. Intell., 2013

Combining object-based local and global feature statistics for salient object search.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Trading off salience and uncertainty in sampling a visual scene.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

PSO for feature construction and binary classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Adaptive artificial datasets to discover the effects of domain features for classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparison of two methods for computing action values in XCS with code-fragment actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Learning classifier systems: introducing the user-friendly textbook.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Optimizing visual attention models for predicting human fixations using Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

The effect of primitive sets on the expression of evolved images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012

Multi-objective particle swarm optimisation (PSO) for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Two-cornered learning classifier systems for pattern generation and classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Extracting and using building blocks of knowledge in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

XCS-based versus UCS-based feature pattern classification system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Strategies to improve engineering retention.
Proceedings of the IEEE Global Engineering Education Conference, 2012

Prediction of success in engineering study.
Proceedings of the IEEE Global Engineering Education Conference, 2012

New fitness functions in binary particle swarm optimisation for feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

XCSR with Computed Continuous Action.
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.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2011
Developing an evolvable pattern generator using learning classifier systems.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Confusion matrices for improving performance of feature pattern classifier systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automatically defined functions for learning classifier systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Transparent, Online Image Pattern Classification Using a Learning Classifier System.
Proceedings of the Applications of Evolutionary Computation, 2011

2010
Engaging Robots: Innovative Outreach for Attracting Cybernetics Students.
IEEE Trans. Educ., 2010

Particle swarm optimisation for outlier detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New crossover operators in linear genetic programming for multiclass object classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Memory as the Substrate of Cognition: A Developmental Cognitive Robotics Perspective.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

Using unrestricted loops in genetic programming for image classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolution of aesthetically pleasing images without human-in-the-loop.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Sampling Methods in Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
Cognitive Robotics.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Memory-Based Cognitive Framework: A Low-Level Association Approach to Cognitive Architectures.
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.
Proceedings of the Learning Classifier Systems in Data Mining, 2008

Consumer Robotic Products.
IEEE Robotics Autom. Mag., 2008

A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

The Role of Algorithms in Profiling.
Proceedings of the Profiling the European Citizen, Cross-Disciplinary Perspectives, 2008

2007
Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Knowledge-elicitation and data-mining: Fusing human and industrial plant information.
Eng. Appl. Artif. Intell., 2006

Training Reformulated Product Units in Hybrid Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Uncanny valley revisited.
Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005

An autonomous explore/exploit strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An abstraction agorithm for genetics-based reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2002
Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System.
Proceedings of the Learning Classifier Systems, 5th International Workshop, 2002


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