| 2026 | GECCO | Machine Learning for Credit Approval: Enhancing Decision Accuracy and Explainability. | Mohamed Ahamed, Abubakar Siddique, Trung Nguyen, Muhammad Iqbal, Will N. Browne |
| 2025 | GECCO | Evolving Modular Abstractions through Lateralized Learning in Classifier Systems. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne, Gina M. Grimshaw |
| 2025 | GECCO | Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. | Fumito Uwano, Will N. Browne |
| 2025 | IROS | QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. | Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert |
| 2025 | WACV | Enhancing Embodied Object Detection with Spatial Feature Memory. | Nicolas Harvey Chapman, Christopher F. Lehnert, Will N. Browne, Feras Dayoub |
| 2024 | GECCO | Intepretable Local Explanations Through Genetic Programming. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2024 | GECCO | Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. | Cameron Coombe, David Howard, Will N. Browne |
| 2024 | GECCO | Evolutionary Machine Learning for Interpretable and eXplainable AI. | Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz |
| 2024 | IVCNZ | Enhancing Visual Focus: Incorporating Attention into Rule-Based Machine Learning. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne |
| 2023 | GECCO | Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2023 | GECCO | 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 |
| 2023 | GECCO | Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. | Abubakar Siddique, Muhammad Iqbal, Shahab Ud Din, Will N. Browne |
| 2023 | GECCO | Modern Applications of Evolutionary Rule-based Machine Learning. | Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz |
| 2023 | GECCO | Hierarchical Frames-of-References in Learning Classifier Systems. | Fumito Uwano, Will N. Browne |
| 2022 | CEC | Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2022 | GECCO | Improving the search of learning classifier systems through interpretable feature clustering. | Hayden Andersen, Andrew Lensen, Will N. Browne |
| 2022 | GECCO | Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS. | Jordan T. Bishop, Marcus Gallagher, Will N. Browne |
| 2022 | GECCO | A comparison of rule compaction algorithms for michigan style learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 2022 | GECCO | Learning classifier systems: cognitive inspired machine learning for eXplainable AI. | Abubakar Siddique, Will N. Browne |
| 2021 | CEC | Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2021 | CEC | Particle Swarm Optimization for Feature Selection in Emotion Categorization. | Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth |
| 2021 | GECCO | A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. | Jordan T. Bishop, Marcus Gallagher, Will N. Browne |
| 2021 | GECCO | Advanced Learning Classifier Systems. | Will N. Browne |
| 2021 | Tencon | Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing. | Soheil Mohseni, Alan C. Brent, Daniel Burmester, Will N. Browne, Scott Kelly |
| 2020 | CEC | 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 |
| 2020 | GECCO | Absumption and subsumption based learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 2020 | GECCO | Relatedness measures to aid the transfer of building blocks among multiple tasks. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2020 | GECCO | Learning classifier systems: appreciating the lateralized approach. | Abubakar Siddique, Will N. Browne, Gina M. Grimshaw |
| 2020 | GECCO | Lateralized learning for robustness against adversarial attacks in a visual classification system. | Abubakar Siddique, Will N. Browne, Gina M. Grimshaw |
| 2020 | ISVC | Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique. | Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth |
| 2020 | RO-MAN | An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks. | Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth |
| 2019 | CEC | Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2019 | CEC | XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems. | Zheming Zhang, Will N. Browne, Dale A. Carnegie |
| 2019 | GECCO | Absumption to complement subsumption in learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 2019 | GECCO | Improvement of code fragment fitness to guide feature construction in XCS. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2019 | IVCNZ | Identifying Simple Shapes to Classify the Big Picture. | Megan Liang, Gabrielle Palado, Will N. Browne |
| 2018 | CEC | Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning. | Xiu Cheng, Will N. Browne, Mengjie Zhang |
| 2018 | GECCO | Theoretical adaptation of multiple rule-generation in XCS. | Masaya Nakata, Will N. Browne, Tomoki Hamagami |
| 2018 | PPSN | 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 Mart, Yi Mei, Juan Julin Merelo Guervs, 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 | GECCO | Learning figure-ground image segmentors by genetic programming. | Yuyu Liang, Mengjie Zhang, Will N. Browne |
| 2017 | GECCO | Theoretical XCS parameter settings of learning accurate classifiers. | Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama |
| 2016 | CEC | Compaction for code fragment based learning classifier systems - Redux. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2016 | CEC | Figure-ground image segmentation using genetic programming and feature selection. | Yuyu Liang, Mengjie Zhang, Will N. Browne |
| 2016 | CEC | Integration of code-fragment based learning classifier systems for multiple domain perception and learning. | Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne |
| 2016 | CEC | Adapting learning classifier systems to symbolic regression. | Syed Saud Naqvi, Will N. Browne |
| 2016 | CEC | A comprehensive strategy for mammogram image classification using learning classifier systems. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne |
| 2016 | GECCO | Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2016 | GECCO | Code Fragments: Past and Future use in Transfer Learning. | Will N. Browne |
| 2016 | GECCO | Hands-on Workshop on Learning Classifier Systems. | Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber |
| 2015 | CEC | Emotion inspired adaptive robotic path planning. | Henry Williams, Christopher P. Lee-Johnson, Will N. Browne, Dale A. Carnegie |
| 2015 | GECCO | Back to the Future: Learning Classifier Systems as Cognitive Systems. | Will N. Browne |
| 2015 | GECCO | Introducing Rule-based Machine Learning: A Practical Guide. | Ryan J. Urbanowicz, Will N. Browne |
| 2015 | IVCNZ | Accurate marker based distance measurement with single camera. | A. Roberts, Will N. Browne, Christopher Hollitt |
| 2015 | IVCNZ | Introduction of a human based attention model for robotic navigation. | Henry Williams, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt |
| 2014 | CEC | Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types. | Syed Saud Naqvi, Will N. Browne, Christopher Hollitt |
| 2014 | EDUCON | Factors that affect the design of a successful engineering programme: A case study. | Dale A. Carnegie, Will N. Browne |
| 2014 | GECCO | Salient object detection using learning classifiersystems that compute action mappings. | Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang |
| 2014 | GECCO | Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2014 | GECCO | Three-cornered coevolution learning classifier systems for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | The effect of primitive sets on the expression of evolved images. | Roman Klapaukh, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | Optimizing visual attention models for predicting human fixations using Genetic Algorithms. | Syed Saud Naqvi, Will N. Browne, Christopher Hollitt |
| 2013 | CEC | 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 |
| 2013 | GECCO | Learning classifier systems: introducing the user-friendly textbook. | Will N. Browne, Ryan J. Urbanowicz |
| 2013 | GECCO | Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Comparison of two methods for computing action values in XCS with code-fragment actions. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Adaptive artificial datasets to discover the effects of domain features for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Adaptive artificial datasets through learning classifier systems for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | PSO for feature construction and binary classification. | Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne |
| 2013 | IVCNZ | Trading off salience and uncertainty in sampling a visual scene. | Arindam Bhakta, Marcus Frean, Christopher Hollitt, Will N. Browne |
| 2013 | IVCNZ | Combining object-based local and global feature statistics for salient object search. | Syed Saud Naqvi, Will N. Browne, Christopher Hollitt |
| 2012 | CEC | Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics. | Henry Williams, Will N. Browne |
| 2012 | CEC | New fitness functions in binary particle swarm optimisation for feature selection. | Bing Xue, Mengjie Zhang, Will N. Browne |
| 2012 | EDUCON | Prediction of success in engineering study. | Dale A. Carnegie, Craig A. Watterson, Peter Andreae, Will N. Browne |
| 2012 | EDUCON | Strategies to improve engineering retention. | Dale A. Carnegie, Craig A. Watterson, Will N. Browne, James MacKay, Mel Lock, John Williams, Michael Forret |
| 2012 | GECCO | XCS-based versus UCS-based feature pattern classification system. | Toktam Ebadi, Mengjie Zhang, Will N. Browne |
| 2012 | GECCO | Extracting and using building blocks of knowledge in learning classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2012 | GECCO | Two-cornered learning classifier systems for pattern generation and classification. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2012 | GECCO | Multi-objective particle swarm optimisation (PSO) for feature selection. | Bing Xue, Mengjie Zhang, Will N. Browne |
| 2011 | GECCO | Automatically defined functions for learning classifier systems. | Muhammad Iqbal, Mengjie Zhang, Will N. Browne |
| 2011 | GECCO | Confusion matrices for improving performance of feature pattern classifier systems. | Ignas Kukenys, Will N. Browne, Mengjie Zhang |
| 2010 | CEC | Evolution of aesthetically pleasing images without human-in-the-loop. | Daniel L. Atkins, Roman Klapaukh, Will N. Browne, Mengjie Zhang |
| 2010 | CEC | Using unrestricted loops in genetic programming for image classification. | Jan Larres, Mengjie Zhang, Will N. Browne |
| 2010 | GECCO | New crossover operators in linear genetic programming for multiclass object classification. | Carlton Downey, Mengjie Zhang, Will N. Browne |
| 2010 | GECCO | Particle swarm optimisation for outlier detection. | Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne |
| 2009 | GECCO | 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 |
| 2008 | HIS | A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems. | Madeleine Davis-Moradkhan, Will N. Browne |
| 2007 | GECCO | Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets. | Will N. Browne, Charalambos Ioannides |
| 2006 | CEC | A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem. | Madeleine Davis-Moradkhan, Will N. Browne |
| 2006 | IJCNN | Training Reformulated Product Units in Hybrid Neural Networks. | Philip T. Elliott, Diven Topiwala, Will N. Browne |
| 2005 | RO-MAN | Uncanny valley revisited. | F. C. Gee, Will N. Browne, Kazuhiko Kawamura |