Separating spatially distributed response to stimulation from background. I. Optical imaging. - Richard M. Everson; Bruce W. Knight; Lawrence Sirovich (Biol. Cybern., 1997)

Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. - Richard M. Everson; Stephen J. Roberts (Neural Comput., 1999)

Independent Components Analysis. - Richard M. Everson; Stephen J. Roberts (Artificial Neural Networks in Biomedicine, 2000)

Maximum certainty data partitioning. - Stephen J. Roberts; Richard M. Everson; Iead Rezek (Pattern Recognit., 2000)

Inferring the eigenvalues of covariance matrices from limited, noisy data. - Richard M. Everson; Stephen J. Roberts (IEEE Trans. Signal Process., 2000)

Blind Source Separation for Non-Stationary Mixing. - Richard M. Everson; Stephen J. Roberts (J. VLSI Signal Process., 2000)

Controlling Genetic Algorithms With Reinforcement Learning. - James E. Pettinger; Richard M. Everson (GECCO, 2002)

Representing interests as a hyperlinked document collection. - Michelle Jayne Fisher; Richard M. Everson (CIKM, 2003)

When Are Links Useful? Experiments in Text Classification. - Michelle Jayne Fisher; Richard M. Everson (ECIR, 2003)

Using unconstrained elite archives for multiobjective optimization. - Jonathan E. Fieldsend; Richard M. Everson; Sameer Singh 002 (IEEE Trans. Evol. Comput., 2003)

Dominance measures for multi-objective simulated annealing. - Kevin I. Smith; Richard M. Everson; Jonathan E. Fieldsend (IEEE Congress on Evolutionary Computation, 2004)

Bayesian estimation and classification with incomplete data using mixture models. - Jufen Zhang; Richard M. Everson (ICMLA, 2004)

A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. - Richard M. Everson; Jonathan E. Fieldsend (IDEAL, 2004)

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. - Vitaly Schetinin; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Jonathan E. Fieldsend; Trevor C. Bailey; Adolfo Hernández (IDEAL, 2004)

ROC Optimisation of Safety Related Systems. - Jonathan E. Fieldsend; Richard M. Everson (ROCAI, 2004)

Precision and Recall Optimisation for Information Access Tasks. - Michelle Jayne Fisher; Jonathan E. Fieldsend; Richard M. Everson (ROCAI, 2004)

Multi-objective optimisation in the presence of uncertainty. - Jonathan E. Fieldsend; Richard M. Everson (Congress on Evolutionary Computation, 2005)

A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. - Julio E. Alvarez-Benitez; Richard M. Everson; Jonathan E. Fieldsend (EMO, 2005)

The Bayesian Decision Tree Technique with a Sweeping Strategy - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2005)

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2005)

Interpretability of Bayesian Decision Trees Induced from Trauma Data. - Derek Partridge; Vitaly Schetinin; Dayou Li; Timothy J. Coats; Jonathan E. Fieldsend; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey (ICAISC, 2006)

Personalizing Pervasive Services on Top of Heterogeneous Networks. - Yuping Yang; Richard M. Everson; Richard G. Dewar; M. Howard Williams (ICPS, 2006)

Optimising Data-Driven Safety Related Systems. - Richard M. Everson; Jonathan E. Fieldsend; Trevor C. Bailey; Wojtek J. Krzanowski; Derek Partridge; Vitaly Schetinin; Adolfo Hernández (SSS, 2006)

Classification with Confidence for Critical Systems. - Derek Partridge; Trevor C. Bailey; Richard M. Everson; Jonathan E. Fieldsend; Adolfo Hernández; Wojtek J. Krzanowski; Vitaly Schetinin (SSS, 2006)

Confidence in Classification: A Bayesian Approach. - Wojtek J. Krzanowski; Trevor C. Bailey; Derek Partridge; Jonathan E. Fieldsend; Richard M. Everson; Vitaly Schetinin (J. Classif., 2006)

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (J. Math. Model. Algorithms, 2006)

Multi-class ROC analysis from a multi-objective optimisation perspective. - Richard M. Everson; Jonathan E. Fieldsend (Pattern Recognit. Lett., 2006)

Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert. - Richard M. Everson; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 2006)

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (Integrated Intelligent Systems for Engineering Design, 2006)

Multi-Objective Optimisation for Receiver Operating Characteristic Analysis. - Richard M. Everson; Jonathan E. Fieldsend (Multi-Objective Machine Learning, 2006)

Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution. - Kareem Shaker; David Corne; Richard M. Everson (IEEE Congress on Evolutionary Computation, 2007)

Smooth relevance vector machine: a smoothness prior extension of the RVM. - Alexander Schmolck; Richard M. Everson (Mach. Learn., 2007)

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. - Trevor C. Bailey; Richard M. Everson; Jonathan E. Fieldsend; Wojtek J. Krzanowski; Derek Partridge; Vitaly Schetinin (Neural Comput. Appl., 2007)

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Timothy J. Coats; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (IEEE Trans. Inf. Technol. Biomed., 2007)

Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (Perception-based Data Mining and Decision Making in Economics and Finance, 2007)

Multiobjective Supervised Learning. - Jonathan E. Fieldsend; Richard M. Everson (Multiobjective Problem Solving from Nature, 2008)

On the efficient use of uncertainty when performing expensive ROC optimisation. - Jonathan E. Fieldsend; Richard M. Everson (IEEE Congress on Evolutionary Computation, 2008)

Dominance-Based Multiobjective Simulated Annealing. - Kevin I. Smith; Richard M. Everson; Jonathan E. Fieldsend; Chris Murphy; Rashmi Misra (IEEE Trans. Evol. Comput., 2008)

Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert. - William J. Reckhouse; Jonathan E. Fieldsend; Richard M. Everson (IEEE Congress on Evolutionary Computation, 2010)

Visualisation and ordering of many-objective populations. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (IEEE Congress on Evolutionary Computation, 2010)

A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. - Chenghua Lin; Yulan He 001; Richard M. Everson (CoNLL, 2010)

Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. - Jacqueline Christmas; Richard M. Everson (IJCNN, 2010)

A Bayesian framework for active learning. - Richard Fredlund; Richard M. Everson; Jonathan E. Fieldsend (IJCNN, 2010)

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2010)

Rank-based dimension reduction for many-criteria populations. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (GECCO (Companion), 2011)

Sentence Subjectivity Detection with Weakly-Supervised Learning. - Chenghua Lin; Yulan He 001; Richard M. Everson (IJCNLP, 2011)

Robust Autoregression: Student-t Innovations Using Variational Bayes. - Jacqueline Christmas; Richard M. Everson (IEEE Trans. Signal Process., 2011)

Visualising many-objective populations. - David J. Walker; Jonathan E. Fieldsend; Richard M. Everson (GECCO (Companion), 2012)

Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels. - Andrew R. J. Clark; Richard M. Everson (Pattern Recognit., 2012)

Weakly Supervised Joint Sentiment-Topic Detection from Text. - Chenghua Lin; Yulan He 001; Richard M. Everson; Stefan M. Rüger (IEEE Trans. Knowl. Data Eng., 2012)

Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. - Jonathan E. Fieldsend; Richard M. Everson (EMO, 2013)

Edges of mutually non-dominating sets. - Richard M. Everson; David J. Walker; Jonathan E. Fieldsend (GECCO, 2013)

Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring. - Jacqueline Christmas; Richard M. Everson; Rolando Rodriguez-Munoz; Tom Tregenza (IJCNN, 2013)

How clumpy is my image? Evaluating crowdsourced annotation tasks. - Hugo Hutt; Richard M. Everson; Murray Grant; John Love; George Littlejohn (UKCI, 2013)

Minkowski compactness measure. - Carlos Martinez-Ortiz; Richard M. Everson (UKCI, 2013)

Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 2013)

Efficiently identifying pareto solutions when objective values change. - Jonathan E. Fieldsend; Richard M. Everson (GECCO, 2014)

Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. - Alma As-Aad Mohammad Rahat; Richard M. Everson; Jonathan E. Fieldsend (GECCO, 2014)

Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets. - Richard M. Everson; David J. Walker; Jonathan E. Fieldsend (Evol. Comput., 2014)

Inexact Bayesian point pattern matching for linear transformations. - Jacqueline Christmas; Richard M. Everson; James Bell 002; C. Peter Winlove (Pattern Recognit., 2014)

3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs. - Hugo Hutt; Richard M. Everson; Judith Meakin (CSI@MICCAI, 2015)

Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks. - Alma As-Aad Mohammad Rahat; Richard M. Everson; Jonathan E. Fieldsend (Evol. Comput., 2015)

How clumpy is my image? - Hugo Hutt; Richard M. Everson; Murray Grant; John Love; George Littlejohn (Soft Comput., 2015)

The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. - Jonathan E. Fieldsend; Richard M. Everson (IEEE Trans. Evol. Comput., 2015)

Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. - Alma As-Aad Rahat; Richard M. Everson; Jonathan E. Fieldsend; Yaochu Jin; Handing Wang (GECCO (Companion), 2016)

Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. - David J. Walker; Jonathan E. Fieldsend; Richard M. Everson (GECCO (Companion), 2016)

Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks. - Alma As-Aad Mohammad Rahat; Richard M. Everson; Jonathan E. Fieldsend (Ad Hoc Networks, 2016)

Alternative infill strategies for expensive multi-objective optimisation. - Alma As-Aad Mohammad Rahat; Richard M. Everson; Jonathan E. Fieldsend (GECCO, 2017)

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. - Guoyan Zheng; Chengwen Chu; Daniel L. Belavy; Bulat Ibragimov; Robert Korez; Tomaz Vrtovec; Hugo Hutt; Richard M. Everson; Judith Meakin; Isabel Lopez Andrade; Ben Glocker; Hao Chen 011; et al. (Medical Image Anal., 2017)

Visual Object Tracking: The Initialisation Problem. - George De Ath; Richard M. Everson (CRV, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Emotional Faces in the Wild: Feature Descriptors for Emotion Classification. - Huthaifa Abuhammad; Richard M. Everson (ICIAR, 2018)

Brain Tumour Segmentation Method Based on Supervoxels and Sparse Dictionaries. - Juan Pablo Serrano Rubio; Richard M. Everson (BrainLes@MICCAI (2), 2018)

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. - Steven J. Daniels; Alma As-Aad Mohammad Rahat; Richard M. Everson; Gavin R. Tabor; Jonathan E. Fieldsend (PPSN (2), 2018)

Part-Based Tracking by Sampling. - George De Ath; Richard M. Everson (CoRR, 2018)

Solving the first and last mile problem with connected and autonomous vehicles. - Alma As-Aad Rahat; Ralph Ledbetter; Alex Dawn; Robert Byrne; Richard M. Everson (GECCO (Companion), 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions. - Nicholas D. Sanders; Richard M. Everson; Jonathan E. Fieldsend; Alma As-Aad Mohammad Rahat (CoRR, 2019)

ϵ-shotgun: ϵ-greedy batch bayesian optimisation. - George De Ath; Richard M. Everson; Jonathan E. Fieldsend; Alma As-Aad Mohammad Rahat (GECCO, 2020)

What do you mean?: the role of the mean function in bayesian optimisation. - George De Ath; Jonathan E. Fieldsend; Richard M. Everson (GECCO Companion, 2020)

Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. - Finley J. Gibson; Richard M. Everson; Jonathan E. Fieldsend (CEC, 2021)

Optimising Diversity in Classifier Ensembles of Classification Trees. - Carina Ivascu; Richard M. Everson; Jonathan E. Fieldsend (EvoApplications, 2021)

How Bayesian should Bayesian optimisation be? - George De Ath; Richard M. Everson; Jonathan E. Fieldsend (GECCO Companion, 2021)

Asynchronous ε-Greedy Bayesian Optimisation. - George De Ath; Richard M. Everson; Jonathan E. Fieldsend (UAI, 2021)

Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. - George De Ath; Richard M. Everson; Alma As-Aad Rahat; Jonathan E. Fieldsend (ACM Trans. Evol. Learn. Optim., 2021)

Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. - Finley J. Gibson; Richard M. Everson; Jonathan E. Fieldsend (GECCO, 2022)

A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. - Nick Pepper; Marc Thomas; George De Ath; Enrico Oliver; Richard Cannon; Richard M. Everson; Tim J. Dodwell (CoRR, 2022)

Optimising Diversity in Classifier Ensembles. - Carina Ivascu; Richard M. Everson; Jonathan E. Fieldsend (SN Comput. Sci., 2022)

Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. - Nick Pepper; George De Ath; Marc Thomas; Richard M. Everson; Tim J. Dodwell (CoRR, 2023)

Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm. - Amenah D. Abbood; Bara'a Ali Attea; Ammar A. Hasan; Richard M. Everson; Clara Pizzuti (Artif. Intell. Rev., 2023)

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity. - Edward Henderson; Dewi Gould; Richard M. Everson; George De Ath; Nick Pepper (CoRR, 2025)