Richard M. Everson

发表

Multi-objective optimisation in the presence of uncertainty

Jonathan E. Fieldsend, Richard M. Everson, 2005, 2005 IEEE Congress on Evolutionary Computation.

Automated Detection of Faults in Wastewater Pipes from CCTV Footage by Using Random Forests

Richard M. Everson, Zoran Kapelan, Joshua Myrans, 2016 .

Dominance-Based Multiobjective Simulated Annealing

Chris Murphy, Jonathan E. Fieldsend, Richard M. Everson, 2008, IEEE Transactions on Evolutionary Computation.

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, J. Math. Model. Algorithms.

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2004, IDEAL.

Visualisation and ordering of many-objective populations

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2010, IEEE Congress on Evolutionary Computation.

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics

Jonathan E. Fieldsend, Richard M. Everson, Steven J. Daniels, 2018, PPSN.

Intelligent packet scheduler for general packet radio service

Richard M. Everson, H. Bhaskar, M. Witwit, 2004 .

Edges of mutually non-dominating sets

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2013, GECCO '13.

Tracking Ica For Eye-Movement Artefact Removal

Richard M. Everson, Stephen J. Roberts, Iead Rezek, 1999 .

Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots

Jonathan E. Fieldsend, Richard M. Everson, 2013, EMO.

Computing with confidence: a Bayesian approach

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006 .

Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2013, IEEE Transactions on Evolutionary Computation.

Multi-class ROC analysis from a multi-objective optimisation perspective

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2006, Pattern Recognit. Lett..

A Variable Metric Probabilistic k-Nearest-Neighbours Classifier

Jonathan E. Fieldsend, Richard M. Everson, 2004, IDEAL.

A Review of Shape Distortion Methods Available in the OpenFOAM $$^{\textregistered }$$ Framework for Automated Design Optimisation

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2019, OpenFOAM®.

The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2015, IEEE Transactions on Evolutionary Computation.

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, Neural Computing and Applications.

Particle Filters for Non-Stationary ICA

Richard M. Everson, Stephen J. Roberts, S. Roberts, 2000 .

Alternative infill strategies for expensive multi-objective optimisation

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2017, GECCO.

Multi-objective optimization of selective laser sintering processes for surface quality and energy saving

Richard M. Everson, Kenneth E. Evans, Liang Hao, 2011 .

Formulation and comparison of multi-class ROC surfaces

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2005 .

On the efficient maintenance and updating of Pareto solutions when assigned objectives values may change

Jonathan E. Fieldsend, Richard M. Everson, 2013 .

Rank-based dimension reduction for many-criteria populations

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2011, GECCO '11.

What do you mean?: the role of the mean function in bayesian optimisation

Jonathan E. Fieldsend, Richard M. Everson, George De Ath, 2020, GECCO Companion.

Transition Detection for Automatic Segmentation of Wrist-Worn Acceleration Data: A Comparison of New and Existing Methods

Richard M. Everson, Joss Langford, Joshua Twaites, 2020 .

ϵ-shotgun: ϵ-greedy batch bayesian optimisation

Jonathan E. Fieldsend, Richard M. Everson, George De Ath, 2020, GECCO.

Image processing methods using ICA mixture models

Richard M. Everson, Stephen J. Roberts, T. W. Lee, 2001 .

Controlling Genetic Algorithms With Reinforcement Learning

Richard M. Everson, James E. Pettinger, R. Everson, 2002, GECCO.

Shape optimisation using Computational Fluid Dynamics and Evolutionary Algorithms

Jonathan E. Fieldsend, Richard M. Everson, Gavin Tabor, 2016 .

Automatic Identification of Sewer Fault Types Using CCTV Footage

Richard M. Everson, Zoran Kapelan, Joshua Myrans, 2018 .

Inferring the eigenvalues of covariance matrices from limited, noisy data

Richard M. Everson, Stephen J. Roberts, S. Roberts, 2000, IEEE Trans. Signal Process..

Dominance measures for multi-objective simulated annealing

Jonathan E. Fieldsend, Richard M. Everson, Kevin I. Smith, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

The Bayesian Decision Tree Technique with a Sweeping Strategy pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, ArXiv.

Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2014, Evolutionary Computation.

Intelligent Data Engineering and Automated Learning – IDEAL 2004

Richard M. Everson, Hujun Yin, Zheng Rong Yang, 2004, Lecture Notes in Computer Science.

ICA: model order selection and dynamic source models

Richard M. Everson, Stephen J. Roberts, William D. Penny, 2001 .

Representing interests as a hyperlinked document collection

Richard M. Everson, Michelle Jayne Fisher, 2003, CIKM '03.

A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions pdf

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2019, ArXiv.

Foreword from the Convention Chairs

Richard M. Everson, Edward Keedwell, Convention Chairs, 2013 .

Automated detection of fault types in CCTV sewer surveys

Richard M. Everson, Zoran Kapelan, Joshua Myrans, 2018, Journal of Hydroinformatics.

Achieving Accelerometer Wrist and Orientation Invariance in Physical Activity Classification via Domain Adaption

Richard M. Everson, Joss Langford, Joshua Twaites, 2019 .

Assessment and optimisation of STCA performance: Using the Pareto optimal receiver operating characteristic

Jonathan E. Fieldsend, Richard M. Everson, David Bush, 2008 .

Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert

Jonathan E. Fieldsend, Richard M. Everson, William J. Reckhouse, 2010, IEEE Congress on Evolutionary Computation.

The use of advanced information processing methods in EEG analysis

Richard M. Everson, Stephen J. Roberts, Iead Rezek, 1998 .

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2007, IEEE Transactions on Information Technology in Biomedicine.

Automatic shape optimisation of the turbine-99 draft tube

Jonathan E. Fieldsend, Richard M. Everson, Gavin Tabor, 2017 .

602 A new approach to assessing drowsiness and attention through continuous EEG (C-EEG) and neural network methods

K. Hapeshi, Richard M. Everson, Stephen J. Roberts, 1998 .

Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2016, Ad Hoc Networks.

Management and Analysis of Large Scientific Datasets

Lawrence Sirovich, Richard M. Everson, L. Sirovich, 1992 .

Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation pdf

Jonathan E. Fieldsend, Richard M. Everson, George De Ath, 2019, ACM Trans. Evol. Learn. Optim..

Confidence in Classification: A Bayesian Approach

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, J. Classif..

Using unconstrained elite archives for multiobjective optimization

Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh, 2003, IEEE Trans. Evol. Comput..

Efficiently identifying pareto solutions when objective values change

Jonathan E. Fieldsend, Richard M. Everson, 2014, GECCO.

Multi-objective routing optimisation for battery-powered wireless sensor mesh networks

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2014, GECCO.

Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization

Jonathan E. Fieldsend, Richard M. Everson, Handing Wang, 2016, GECCO.

Dominance-Based Multiobjective

Chris Murphy, Jonathan E. Fieldsend, Richard M. Everson, 2008 .

Karhunen–Loève procedure for gappy data

Lawrence Sirovich, Richard M. Everson, L. Sirovich, 1995 .

Visualising many-objective populations

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2012, GECCO '12.

Multiobjective optimization of safety related systems: an application to short-term conflict alert

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2006, IEEE Transactions on Evolutionary Computation.

ROC Optimisation of Safety Related Systems

Jonathan E. Fieldsend, Richard M. Everson, 2004, ROCAI.

Multi-Objective Optimisation for Receiver Operating Characteristic Analysis

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2006, Multi-Objective Machine Learning.

Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels

Richard M. Everson, Andrew R. J. Clark, 2012, Pattern Recognit..

Scoring in crowdsourced annotation tasks

Richard M. Everson, Murray Grant, Hugo Hutt, 2015 .

Optimisation of quality and energy consumption for additive layer manufacturing processes

Richard M. Everson, Kenneth E. Evans, Liang Hao, 2010 .

On the efficient use of uncertainty when performing expensive ROC optimisation

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Segmentation of Lumbar Vertebrae Slices from CT Images

Richard M. Everson, Judith R. Meakin, Hugo Hutt, 2015 .

Full Elite Sets for Multi-Objective Optimisation

Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh, 2002 .

Optimising Data-Driven Safety Related Systems

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, SSS.

Classification with Confidence for Critical Systems

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, SSS.

Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization

Jonathan E. Fieldsend, Richard M. Everson, David J. Walker, 2016, GECCO.

Interpretability of Bayesian Decision Trees Induced from Trauma Data

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, ICAISC.

A Bayesian framework for active learning

Jonathan E. Fieldsend, Richard M. Everson, Richard Fredlund, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Independent Component Analysis: Principles and Practice

Richard M. Everson, Stephen J. Roberts, S. Roberts, 2001 .

Independent Components Analysis

Richard M. Everson, Stephen J. Roberts, S. Roberts, 2000, Artificial Neural Networks in Biomedicine.

A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts

Jonathan E. Fieldsend, Richard M. Everson, Julio E. Alvarez-Benitez, 2005, EMO.

A new approach to the design and optimisation of support structures in additive manufacturing

Richard M. Everson, Kenneth E. Evans, Liang Hao, 2013 .

Hidden Markov independent components for biosignal analysis

Richard M. Everson, Stephen J. Roberts, William D. Penny, 2000 .

Automated shape optimisation of a plane asymmetric diffuser using combined Computational Fluid Dynamic simulations and multi-objective Bayesian methodology

Jonathan E. Fieldsend, Richard M. Everson, Gavin Tabor, 2019, International Journal of Computational Fluid Dynamics.

Bayesian inductively learned modules for safety critical systems

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2003 .

Hidden Markov Independent Component Analysis

Richard M. Everson, Stephen J. Roberts, William D. Penny, 2000 .

Simulated annealing and greedy search for multi-objective optimisation

Jonathan E. Fieldsend, Richard M. Everson, Kevin I. Smith, 2009 .

Automated detection of faults in sewers using CCTV image sequences

Richard M. Everson, Zoran Kapelan, Joshua Myrans, 2018, Automation in Construction.

Multiobjective Supervised Learning

Jonathan E. Fieldsend, Richard M. Everson, 2008, Multiobjective Problem Solving from Nature.

Blind Source Separation for Non-Stationary Mixing

Richard M. Everson, Stephen J. Roberts, 2000, J. VLSI Signal Process..

Precision and Recall Optimisation for Information Access Tasks

Jonathan E. Fieldsend, Richard M. Everson, Michelle Jayne Fisher, 2004, ROCAI.

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, Perception-based Data Mining and Decision Making in Economics and Finance.

Visualisation of multi-class ROC surfaces

Jonathan E. Fieldsend, Richard M. Everson, R. Everson, 2005 .

Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2020 .

Video tracking of dairy cows for assessing mobility scores

Richard M. Everson, Carlos Martinez-Ortiz, Toby Mottram, 2013 .

Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks

Jonathan E. Fieldsend, Richard M. Everson, Alma A. M. Rahat, 2015, Evolutionary Computation.

Optical Imaging of the Mammalian Visual Cortex

Richard M. Everson, Bruce W. Knight, Ehud Kaplan, 1999 .

Latent class and trait models for data classification and visualisation

Richard M. Everson, Stephen J. Roberts, Mark Girolami, 2001 .

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, Integrated Intelligent Systems for Engineering Design.

Smooth relevance vector machine: a smoothness prior extension of the RVM

Richard M. Everson, Alexander Schmolck, R. Everson, 2007, Machine Learning.

Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks

Jonathan E. Fieldsend, Richard M. Everson, Alma As-Aad Mohammad Rahat, 2015, Evolutionary Computation.

Asynchronous ε-Greedy Bayesian Optimisation pdf

Jonathan E. Fieldsend, Richard M. Everson, George De Ath, 2021, UAI.

Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach

Richard M. Everson, Stephen J. Roberts, S. Roberts, 1999, Neural Computation.

When Are Links Useful? Experiments in Text Classification

Richard M. Everson, Michelle Jayne Fisher, R. Everson, 2003, ECIR.

Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function

Jonathan E. Fieldsend, Richard M. Everson, Finley J. Gibson, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Optimising Diversity in Classifier Ensembles of Classification Trees

Jonathan E. Fieldsend, Richard M. Everson, Carina Ivascu, 2021, EvoApplications.

Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion

Yang Liu, Richard M. Everson, Alma A. M. Rahat, 2017 .

An empirical eigenfunction analysis of sea surface temperatures in the western North Atlantic

Lawrence Sirovich, Richard M. Everson, Peter Cornillon, 1997 .

Wavelet analysis of the turbulent jet

Lawrence Sirovich, Richard M. Everson, Katepalli R. Sreenivasan, 1990 .

Preliminary investigation on cellular support structures using SLM process

Richard M. Everson, Liang Hao, Ahmed Hussein, 2011 .

On the errors incurred calculating derivatives using Chebyshev polynomials

Richard M. Everson, Kenneth S. Breuer, 1992 .

Surface roughness analysis in Selective Laser Melting

Richard M. Everson, Liang Hao, Kenneth E. Evans, 2011 .

Data-driven multi-objective optimisation of coal-fired boiler combustion systems

Jonathan E. Fieldsend, Richard M. Everson, Alma A. M. Rahat, 2018, Applied Energy.

Finite element simulation of the temperature and stress fields in single layers built without-support in selective laser melting

Richard M. Everson, Liang Hao, Ahmed Hussein, 2013 .

Eigenfunction analysis of turbulent mixing phenomena

Lawrence Sirovich, Richard M. Everson, T. J. Barber, 1991 .

Chaotic dynamics of a bouncing ball

Richard M. Everson, R. Everson, 1986 .

Empirical eigenfunction analysis of sea surface temperatures in the Western North Atlantic

Lawrence Sirovich, Richard M. Everson, Peter Cornillon, 1997 .

A flexible non-linearity and decorrelating manifold approach to ICA

Richard M. Everson, Stephen J. Roberts, S. Roberts, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).