Will N. Browne

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 85

Top Venues

Publications

Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
Attention-Based Methods for Emotion Categorization From Partially Covered Faces. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
Open-Vocabulary Part-Based Grasping. CoRR (2024)
Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
Evolutionary Machine Learning for Interpretable and eXplainable AI. GECCO Companion (2024)
Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Chris Lehnert
Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. CoRR (2024)
Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne
In situ skid estimation for mobile robots in outdoor environments. J. Field Robotics 41 (1) (2024)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Intepretable Local Explanations Through Genetic Programming. GECCO Companion (2024)
Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. GECCO Companion (2023)
Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
Modern Applications of Evolutionary Rule-based Machine Learning. GECCO Companion (2023)
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies. CoRR (2023)
Payam Nourizadeh, Fiona Stevens McFadden, Will N. Browne
In situ slip estimation for mobile robots in outdoor environments. J. Field Robotics 40 (3) (2023)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO (2023)
Fumito Uwano, Will N. Browne
Hierarchical Frames-of-References in Learning Classifier Systems. GECCO Companion (2023)
Abubakar Siddique, Muhammad Iqbal, Shahab Din, Will N. Browne
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. GECCO Companion (2023)
Payam Nourizadeh, Fiona J. Stevens McFadden, Will N. Browne
Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning. CoRR (2023)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralized Learning for Multi-Class Visual Classification Tasks. CoRR (2023)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence. CoRR (2023)
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS. CoRR (2023)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. IEEE Trans. Evol. Comput. 27 (4) (2023)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralized Learning to Solve Complex Boolean Problems. IEEE Trans. Cybern. 53 (11) (2023)
Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. IEEE Robotics Autom. Lett. 8 (8) (2023)
Yi Liu, Will N. Browne, Bing Xue
Visualizations for rule-based machine learning. Nat. Comput. 21 (2) (2022)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC (2022)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks. IEEE Trans. Evol. Comput. 26 (1) (2022)
Guanqiang Gao, Yi Mei, Ya-Hui Jia, Will N. Browne, Bin Xin
Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation. IEEE Trans. Cybern. 52 (8) (2022)
Abubakar Siddique, Will N. Browne
Learning classifier systems: cognitive inspired machine learning for eXplainable AI. GECCO Companion (2022)
Hayden Andersen, Andrew Lensen, Will N. Browne
Improving the search of learning classifier systems through interpretable feature clustering. GECCO Companion (2022)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
An anti-attack method for emotion categorization from images. Appl. Soft Comput. 128 (2022)
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS. GECCO (2022)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings. Appl. Soft Comput. 130 (2022)
Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne
Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation. IEEE Trans. Cybern. 52 (12) (2022)
Yi Liu, Will N. Browne, Bing Xue
A comparison of rule compaction algorithms for michigan style learning classifier systems. GECCO Companion (2022)
Yi Liu, Will N. Browne, Bing Xue
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. ACM Trans. Evol. Learn. Optim. 1 (3) (2021)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
Particle Swarm Optimization for Feature Selection in Emotion Categorization. CEC (2021)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CEC (2021)
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. GECCO Companion (2021)
Masaya Nakata, Will N. Browne
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems. IEEE Trans. Evol. Comput. 25 (1) (2021)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
An Out-of-Distribution Attack Resistance Approach to Emotion Categorization. IEEE Trans. Artif. Intell. 2 (6) (2021)
Harisu Abdullahi Shehu, Abubakar Siddique, Will N. Browne, Hedwig Eisenbarth
Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. EvoApplications (2021)
Soheil Mohseni, Alan C. Brent, Daniel Burmester, Will N. Browne, Scott Kelly
Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing. TENCON (2021)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralized learning for robustness against adversarial attacks in a visual classification system. GECCO (2020)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. CoRR (2020)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Relatedness measures to aid the transfer of building blocks among multiple tasks. GECCO (2020)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks. RO-MAN (2020)
Yi Liu, Will N. Browne, Bing Xue
Absumption and subsumption based learning classifier systems. GECCO (2020)
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Learning classifier systems: appreciating the lateralized approach. GECCO Companion (2020)
Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth
Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique. ISVC (2) (2020)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CoRR (2020)
Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne
A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. CEC (2020)
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. CoRR (2020)
Zheming Zhang, Will N. Browne, Dale A. Carnegie
XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems. CEC (2019)
Yi Liu, Will N. Browne, Bing Xue
Absumption to complement subsumption in learning classifier systems. GECCO (2019)
Arindam Bhakta, Christopher Hollitt, Will N. Browne, Marcus Frean
Utility function generated saccade strategies for robot active vision: a probabilistic approach. Auton. Robots 43 (4) (2019)
Megan Liang, Gabrielle Palado, Will N. Browne
Identifying Simple Shapes to Classify the Big Picture. IVCNZ (2019)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques. Neural Comput. Appl. 31 (7) (2019)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Improvement of code fragment fitness to guide feature construction in XCS. GECCO (2019)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. CEC (2019)
Yi Liu, Will N. Browne, Bing Xue
Adapting Bagging and Boosting to Learning Classifier Systems. EvoApplications (2018)
Yi Liu, Will N. Browne, Bing Xue
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. Australasian Conference on Artificial Intelligence (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
Tutorials at PPSN 2018. PPSN (2) (2018)
Xiu Cheng, Will N. Browne, Mengjie Zhang
Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning. CEC (2018)
Masaya Nakata, Will N. Browne, Tomoki Hamagami
Theoretical adaptation of multiple rule-generation in XCS. GECCO (2018)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Image feature selection using genetic programming for figure-ground segmentation. Eng. Appl. Artif. Intell. 62 (2017)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Genetic programming for evolving figure-ground segmentors from multiple features. Appl. Soft Comput. 51 (2017)
Yi Liu, Bing Xue, Will N. Browne
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning. SEAL (2017)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems. Evol. Comput. 25 (2) (2017)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming. ACALCI (2017)
Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
Theoretical XCS parameter settings of learning accurate classifiers. GECCO (2017)
Judyta M. Cichocka, Agata Migalska, Will N. Browne, Edgar Rodriguez
SILVEREYE - The Implementation of Particle Swarm Optimization Algorithm in a Design Optimization Tool. CAAD Futures (2017)
Henry Williams, Will N. Browne, Dale A. Carnegie
Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms. Appl. Soft Comput. 50 (2017)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Learning figure-ground image segmentors by genetic programming. GECCO (Companion) (2017)
Will N. Browne
Code Fragments: Past and Future use in Transfer Learning. GECCO (Companion) (2016)
Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection. IEEE Trans. Image Process. 25 (9) (2016)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Figure-ground image segmentation using genetic programming and feature selection. CEC (2016)
Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao
A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Trans. Evol. Comput. 20 (4) (2016)
Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne
Integration of code-fragment based learning classifier systems for multiple domain perception and learning. CEC (2016)
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. GECCO (2016)
Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
Salient object detection via spectral matting. Pattern Recognit. 51 (2016)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
Compaction for code fragment based learning classifier systems - Redux. CEC (2016)
Abubakar Siddique, Muhammad Iqbal, Will N. Browne
A comprehensive strategy for mammogram image classification using learning classifier systems. CEC (2016)
Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber
Hands-on Workshop on Learning Classifier Systems. GECCO (Companion) (2016)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Multi-objective Genetic Programming for Figure-Ground Image Segmentation. ACALCI (2016)
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
Compaction for Code Fragment Based Learning Classifier Systems. ACALCI (2016)
Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
Learning feature fusion strategies for various image types to detect salient objects. Pattern Recognit. 60 (2016)
Syed Saud Naqvi, Will N. Browne
Adapting learning classifier systems to symbolic regression. CEC (2016)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules. Soft Comput. 19 (7) (2015)
Yuyu Liang, Mengjie Zhang, Will N. Browne
A Supervised Figure-Ground Segmentation Method Using Genetic Programming. EvoApplications (2015)
Will N. Browne
Back to the Future: Learning Classifier Systems as Cognitive Systems. GECCO (Companion) (2015)
Bing Xue, Mengjie Zhang, Will N. Browne
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification. Int. J. Comput. Intell. Appl. 14 (2) (2015)
Henry Williams, Christopher P. Lee-Johnson, Will N. Browne, Dale A. Carnegie
Emotion inspired adaptive robotic path planning. CEC (2015)
A. Roberts, Will N. Browne, Christopher Hollitt
Accurate marker based distance measurement with single camera. IVCNZ (2015)
Henry Williams, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
Introduction of a human based attention model for robotic navigation. IVCNZ (2015)
Ryan J. Urbanowicz, Will N. Browne
Introducing Rule-based Machine Learning: A Practical Guide. GECCO (Companion) (2015)
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework. Evol. Intell. 8 (4) (2015)
Yuyu Liang, Mengjie Zhang, Will N. Browne
Image Segmentation: A Survey of Methods Based on Evolutionary Computation. SEAL (2014)
Syed Saud Naqvi, Will N. Browne, Christopher Hollitt
Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency. SEAL (2014)
Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
Salient object detection using learning classifiersystems that compute action mappings. GECCO (2014)
Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang
Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems. Evol. Comput. 22 (4) (2014)
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
Three-cornered coevolution learning classifier systems for classification tasks. GECCO (2014)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems. IEEE Trans. Evol. Comput. 18 (4) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Will N. Browne