| 2022 | ACIIDS | Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras. | Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo |
| 2022 | ACIIDS | Clinically-relevant Summarisation of Cataract Surgery Videos Using Deep Learning. | Jesse Whitten, James McKelvie, Michael Mayo |
| 2022 | IJCNN | Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. | Chen Zheng, Bernhard Pfahringer, Michael Mayo |
| 2021 | MICCAI | Interpretable Deep Learning for Surgical Tool Management. | Mark Rodrigues, Michael Mayo, Panos Patros |
| 2020 | ACIIDS | Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data. | Hongyu Wang, Lynne Chepulis, Ryan G. Paul, Michael Mayo |
| 2020 | ACIIDS | Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. | Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer |
| 2020 | DIS | Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction. | Nolie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabati |
| 2020 | ECAI | In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas. | Yunjie Lisa Lu, Abigail M. Y. Koay, Michael Mayo |
| 2020 | ECAI | Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation. | Michael Mayo, Tomas Koutny |
| 2019 | ACIIDS | Improving the Robustness of the Glycemic Variability Percentage Metric to Sensor Dropouts in Continuous Glucose Monitor Data. | Michael Mayo |
| 2019 | ACIIDS | A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data. | Michael Mayo, Vithya Yogarajan |
| 2019 | CEC | RBFA: Radial Basis Function Autoencoders. | Maisa Daoud, Michael Mayo, Sally Jo Cunningham |
| 2019 | CEC | Data Normalisation using Differential Evolution and Aggregated Logistic Functions. | Michael Mayo, Maisa Daoud |
| 2018 | IROS | Shock Absorbing Exoskeleton for Vertical Mobility System: Concept and Feasibility Study. | Jun Ueda, Melih Turkseven, Euisun Kim, Quincy Lowery, Courtland Bivens, Michael Mayo |
| 2017 | MDAI | Constructing Document Vectors Using Kernel Density Estimates. | Michael Mayo, Sean Goltz |
| 2016 | CEC | BlockCopy-based operators for evolving efficient wind farm layouts. | Michael Mayo, Chen Zheng |
| 2016 | PAKDD | Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators. | Michael Mayo, Sara Omranian |
| 2016 | SAC | Deferral classification of evolving temporal dependent data streams. | Michael Mayo, Albert Bifet |
| 2015 | SMC | An Adaptive Model-Based Mutation Operator for the Wind Farm Layout Optimisation Problem. | Michael Mayo, Maisa Daoud |
| 2015 | SAC | Alternating model trees. | Eibe Frank, Michael Mayo, Stefan Kramer |
| 2014 | CEC | Evolving artificial datasets to improve interpretable classifiers. | Michael Mayo, Quan Sun |
| 2013 | SSBSE | Predicting Regression Test Failures Using Genetic Algorithm-Selected Dynamic Performance Analysis Metrics. | Michael Mayo, Simon A. Spacey |
| 2012 | AusDM | Cartesian Genetic Programming for Trading: A Preliminary Investigation. | Michael Mayo |
| 2012 | GECCO | Full model selection in the space of data mining operators. | Quan Sun, Bernhard Pfahringer, Michael Mayo |
| 2011 | MDAI | Hybridizing Data Stream Mining and Technical Indicators in Automated Trading Systems. | Michael Mayo |
| 2010 | ACIIDS | Evolving Concurrent Petri Net Models of Epistasis. | Michael Mayo, Lorenzo Beretta |
| 2009 | AVSS | 3D Face Recognition Using Multiview Keypoint Matching. | Michael Mayo, Edmond Zhang |
| 2009 | DICTA | SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images. | Edmond Zhang, Michael Mayo |
| 2006 | SGAI | Automatic Species Identification of Live Moths. | Michael Mayo, Anna T. Watson |
| 2005 | PAKDD | Bayesian Sequence Learning for Predicting Protein Cleavage Points. | Michael Mayo |
| 2004 | PRICAI | Using Context to Solve the Correspondence Problem in Simultaneous Localisation and Mapping. | Margaret E. Jefferies, Wenrong Weng, Jesse T. Baker, Michael Mayo |
| 2000 | ITS | Using a Probabilistic Student Model to Control Problem Difficulty. | Michael Mayo, Antonija Mitrovic |