Will N. Browne
Orcid: 0000-0001-8979-2224
According to our database1,
Will N. Browne
authored at least 162 papers
between 2002 and 2024.
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Bibliography
2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
J. Field Robotics, January, 2024
Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory.
CoRR, 2024
Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
IEEE Trans. Cybern., November, 2023
J. Field Robotics, May, 2023
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems.
IEEE Trans. Evol. Comput., 2023
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
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
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
IEEE Trans. Cybern., 2022
A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
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
IEEE Trans. Evol. Comput., 2021
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
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
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
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
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
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
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
Springer Briefs in Intelligent Systems, Springer, ISBN: 978-3-662-55006-9, 2017
Evol. Comput., 2017
Eng. Appl. Artif. Intell., 2017
Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms.
Appl. Soft Comput., 2017
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
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
IEEE Trans. Evol. Comput., 2016
Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
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
Evol. Intell., 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
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
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
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
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
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the IEEE Global Engineering Education Conference, 2012
Proceedings of the IEEE Global Engineering Education Conference, 2012
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
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
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
2010
IEEE Trans. Educ., 2010
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2009
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
A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
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
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
Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
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