Richard M. Everson

According to our database1, Richard M. Everson authored at least 76 papers between 1997 and 2020.

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2020
Asynchronous ε-Greedy Bayesian Optimisation.
CoRR, 2020

What do you mean?: the role of the mean function in bayesian optimisation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

ϵ-shotgun: ϵ-greedy batch bayesian optimisation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation.
CoRR, 2019

A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions.
CoRR, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Part-Based Tracking by Sampling.
CoRR, 2018

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Emotional Faces in the Wild: Feature Descriptors for Emotion Classification.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Visual Object Tracking: The Initialisation Problem.
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

Alternative infill strategies for expensive multi-objective optimisation.
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

How clumpy is my image?
Soft Comput., 2015

Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks.
Evol. Comput., 2015

3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015

2014
Inexact Bayesian point pattern matching for linear transformations.
Pattern Recognit., 2014

Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets.
Evol. Comput., 2014

Multi-objective routing optimisation for battery-powered wireless sensor mesh networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Efficiently identifying pareto solutions when objective values change.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2013

Minkowski compactness measure.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

How clumpy is my image? Evaluating crowdsourced annotation tasks.
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

Edges of mutually non-dominating sets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Weakly Supervised Joint Sentiment-Topic Detection from Text.
IEEE Trans. Knowl. Data Eng., 2012

Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels.
Pattern Recognit., 2012

Visualising many-objective populations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Robust Autoregression: Student-t Innovations Using Variational Bayes.
IEEE Trans. Signal Process., 2011

Rank-based dimension reduction for many-criteria populations.
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

A Bayesian framework for active learning.
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

Visualisation and ordering of many-objective populations.
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
Dominance-Based Multiobjective Simulated Annealing.
IEEE Trans. Evol. Comput., 2008

On the efficient use of uncertainty when performing expensive ROC optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multiobjective Supervised Learning.
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

Smooth relevance vector machine: a smoothness prior extension of the RVM.
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
Multi-Objective Optimisation for Receiver Operating Characteristic Analysis.
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

Multi-class ROC analysis from a multi-objective optimisation perspective.
Pattern Recognit. Lett., 2006

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.
J. Math. Model. Algorithms, 2006

Confidence in Classification: A Bayesian Approach.
J. Classif., 2006

Classification with Confidence for Critical Systems.
Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Optimising Data-Driven Safety Related Systems.
Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Interpretability of Bayesian Decision Trees Induced from Trauma Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR, 2005

The Bayesian Decision Tree Technique with a Sweeping Strategy
CoRR, 2005

A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Multi-objective optimisation in the presence of uncertainty.
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

A Variable Metric Probabilistic k-Nearest-Neighbours Classifier.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Dominance measures for multi-objective simulated annealing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Using unconstrained elite archives for multiobjective optimization.
IEEE Trans. Evol. Comput., 2003

When Are Links Useful? Experiments in Text Classification.
Proceedings of the Advances in Information Retrieval, 2003

Representing interests as a hyperlinked document collection.
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
Blind Source Separation for Non-Stationary Mixing.
J. VLSI Signal Process., 2000

Inferring the eigenvalues of covariance matrices from limited, noisy data.
IEEE Trans. Signal Process., 2000

Maximum certainty data partitioning.
Pattern Recognit., 2000

Independent Components Analysis.
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


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