Michael Mayo
Orcid: 0000-0001-8222-3782
According to our database1,
Michael Mayo
authored at least 72 papers
between 1999 and 2024.
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Bibliography
2024
Mach. Learn., January, 2024
2023
IEEE Internet Comput., 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
2022
Int. J. Comput. Vis., 2022
Comput. Biol. Medicine, 2022
Proceedings of the Ubiquitous Security - Second International Conference, 2022
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Prevalence of sociodemographic factors in a cohort of diabetes mellitus: a retrospective study.
Proceedings of the 6th International Conference on Medical and Health Informatics, 2022
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022
Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022
Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
Proceedings of the IEEE International Conference on Services Computing, 2022
2021
Metaheuristic Optimization of Insulin Infusion Protocols Using Historical Data with Validation Using a Patient Simulator.
Vietnam. J. Comput. Sci., 2021
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A Systematic Review on Extracting Predictors for Forecasting Complications of Diabetes Mellitus.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
2020
A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?
Appl. Artif. Intell., 2020
Appl. Artif. Intell., 2020
Predicting Diabetes Mellitus and its Complications through a Graph-Based Risk Scoring System.
Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020
Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction.
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Artif. Intell. Medicine, 2019
Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
Improving the Robustness of the Glycemic Variability Percentage Metric to Sensor Dropouts in Continuous Glucose Monitor Data.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
2018
CoRR, 2018
Shock Absorbing Exoskeleton for Vertical Mobility System: Concept and Feasibility Study.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Neural Networks for Predicting the Output of wind flow Simulations Over Complex Topographies.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions Using Autoencoders and Swarm Optimization.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
CoRR, 2017
Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017
2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
An Adaptive Model-Based Mutation Operator for the Wind Farm Layout Optimisation Problem.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Predicting Regression Test Failures Using Genetic Algorithm-Selected Dynamic Performance Analysis Metrics.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Classification Models in Intensive Care Outcome Prediction - Can We Improve on Current Models?
Proceedings of the Third Australasian Workshop on Artificial Intelligence in Health (AIH 2013) and the Fourth International Workshop on Collaborative Agents, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Applications of Evolutionary Computation, 2012
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012
2011
Modelling epistasis in genetic disease using Petri nets, evolutionary computation and frequent itemset mining.
Expert Syst. Appl., 2011
Hybridizing Data Stream Mining and Technical Indicators in Automated Trading Systems.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011
2010
Proceedings of the Intelligent Information and Database Systems, 2010
2009
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images.
Proceedings of the DICTA 2009, 2009
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009
2007
Proceedings of the Advances in Multimedia Information Processing, 2007
2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
2004
Using 2D and 3D Landmarks to Solve the Correspondence Problem in Cognitive Robot Mapping.
Proceedings of the Spatial Cognition IV: Reasoning, 2004
Using Context to Solve the Correspondence Problem in Simultaneous Localisation and Mapping.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
2002
User Model. User Adapt. Interact., 2002
2001
Proceedings of the Engineering of Intelligent Systems, 2001
2000
Proceedings of the Intelligent Tutoring Systems, 5th International Conference, 2000
1999
Proceedings of the Advanced Topics in Artificial Intelligence, 1999