Richard M. Everson
Orcid: 0000-0002-3964-1150
According to our database1,
Richard M. Everson
authored at least 90 papers
between 1997 and 2023.
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Bibliography
2023
Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm.
Artif. Intell. Rev., September, 2023
2022
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators.
CoRR, 2022
Guiding surrogate-assisted multi-objective optimisation with decision maker preferences.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
2021
ACM Trans. Evol. Learn. Optim., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
CoRR, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
2017
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Anal., 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks.
Ad Hoc Networks, 2016
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems.
IEEE Trans. Evol. Comput., 2015
Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks.
Evol. Comput., 2015
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015
2014
Pattern Recognit., 2014
Evol. Comput., 2014
Multi-objective routing optimisation for battery-powered wireless sensor mesh networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
IEEE Trans. Evol. Comput., 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels.
Pattern Recognit., 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
IEEE Trans. Signal Process., 2011
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
CoRR, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Multiobjective Problem Solving from Nature, 2008
2007
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.
Proceedings of the Perception-based Data Mining and Decision Making in Economics and Finance, 2007
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.
IEEE Trans. Inf. Technol. Biomed., 2007
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.
Neural Comput. Appl., 2007
Mach. Learn., 2007
Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Multi-Objective Machine Learning, 2006
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006
Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert.
IEEE Trans. Evol. Comput., 2006
Pattern Recognit. Lett., 2006
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.
J. Math. Model. Algorithms, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the ACS/IEEE International Conference on Pervasive Services 2006, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR, 2005
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Precision and Recall Optimisation for Information Access Tasks.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
ROC Optimisation of Safety Related Systems.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
IEEE Trans. Evol. Comput., 2003
Proceedings of the Advances in Information Retrieval, 2003
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003
2002
Controlling Genetic Algorithms With Reinforcement Learning.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
2000
IEEE Trans. Signal Process., 2000
Proceedings of the Artificial Neural Networks in Biomedicine, 2000
1999
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach.
Neural Comput., 1999
1997
Separating spatially distributed response to stimulation from background. I. Optical imaging.
Biol. Cybern., 1997