Financial time series forecasts using fuzzy and long memory pattern recognition systems. - Sameer Singh 002; Jonathan E. Fieldsend (CIFEr, 2000)

Identification of Masses in Digital Mammograms with MLP and RBF Nets. - Keir Bovis; Sameer Singh 002; Jonathan E. Fieldsend; Chris Pinder (IJCNN (1), 2000)

Pattern Matching and Neural Networks Based Hybrid Forecasting System. - Sameer Singh 002; Jonathan E. Fieldsend (ICAPR, 2001)

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

Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training. - Jonathan E. Fieldsend (2003)

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

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

Cardinality Constrained Portfolio Optimisation. - Jonathan E. Fieldsend; John Matatko; Ming Peng (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)

Pareto evolutionary neural networks. - Jonathan E. Fieldsend; Sameer Singh 002 (IEEE Trans. Neural Networks, 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)

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)

Notes on shape orientation where the standard method does not work. - Jovisa D. Zunic; Lazar Kopanja; Jonathan E. Fieldsend (Pattern Recognit., 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)

Regression Error Characteristic Optimisation of Non-Linear Models. - Jonathan E. Fieldsend (Multi-Objective Machine Learning, 2006)

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 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)

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

On the effect of selection and archiving operators in many-objective particle swarm optimisation. - Matthaus Martin Woolard; Jonathan Edward Fieldsend (GECCO, 2013)

Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm. - Jonathan E. Fieldsend (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)

Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser. - Jonathan E. Fieldsend (IEEE Congress on Evolutionary Computation, 2014)

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)

Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation. - Jonathan E. Fieldsend (EMO (2), 2015)

Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming. - Jonathan E. Fieldsend; Alberto Moraglio (GECCO, 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)

Using an adaptive collection of local evolutionary algorithms for multi-modal problems. - Jonathan E. Fieldsend (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)

Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems. - Jonathan E. Fieldsend (GECCO (Companion), 2016)

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)

On the exploitation of search history and accumulative sampling in robust optimisation. - Khulood AlYahya; Kevin Anthony James Doherty; Jonathan E. Fieldsend; Ozgur E. Akman (GECCO (Companion), 2017)

Constraint handling in efficient global optimization. - Samineh Bagheri; Wolfgang Konen; Richard Allmendinger 001; Jürgen Branke; Kalyanmoy Deb; Jonathan E. Fieldsend; Domenico Quagliarella; Karthik Sindhya (GECCO, 2017)

Optimisation and landscape analysis of computational biology models: a case study. - Kevin Anthony James Doherty; Khulood AlYahya; Ozgur E. Akman; Jonathan E. Fieldsend (GECCO (Companion), 2017)

University staff teaching allocation: formulating and optimising a many-objective problem. - Jonathan E. Fieldsend (GECCO, 2017)

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

A Framework of Fog Computing: Architecture, Challenges, and Optimization. - Yang Liu 060; Jonathan E. Fieldsend; Geyong Min (IEEE Access, 2017)

Robust multi-modal optimisation. - Khulood AlYahya; Kevin Anthony James Doherty; Ozgur E. Akman; Jonathan E. Fieldsend (GECCO (Companion), 2018)

Voronoi-based archive sampling for robust optimisation. - Kevin Anthony James Doherty; Khulood AlYahya; Jonathan E. Fieldsend; Ozgur E. Akman (GECCO (Companion), 2018)

Computationally efficient local optima network construction. - Jonathan E. Fieldsend (GECCO (Companion), 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)

Landscape analysis under measurement error. - Khulood AlYahya; Ozgur E. Akman; Jonathan E. Fieldsend (GECCO (Companion), 2019)

Efficient real-time hypervolume estimation with monotonically reducing error. - Jonathan E. Fieldsend (GECCO, 2019)

Visualising the landscape of multi-objective problems using local optima networks. - Jonathan E. Fieldsend; Khulood AlYahya (GECCO (Companion), 2019)

A feature rich distance-based many-objective visualisable test problem generator. - Jonathan E. Fieldsend; Tinkle Chugh; Richard Allmendinger 001; Kaisa Miettinen (GECCO, 2019)

Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms. - Abdulaziz T. Almutairi; Jonathan E. Fieldsend (SSCI, 2019)

A New Initialisation Method for Examination Timetabling Heuristics. - Amjad A. Alsuwaylimi; Jonathan E. Fieldsend (SSCI, 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)

Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances. - Jonathan E. Fieldsend (GECCO, 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)

Towards population-based fitness landscape analysis using local optima networks. - Melike D. Karatas; Ozgur E. Akman; Jonathan E. Fieldsend (GECCO Companion, 2021)

Learning assignment order in an ant colony optimiser for the university course timetabling problem. - James Sakal; Jonathan E. Fieldsend; Edward C. Keedwell (GECCO Companion, 2021)

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

A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport. - P. J. Watson; Jonathan E. Fieldsend; V. H. Stiles (Int. J. Comput. Sci. Sport, 2021)

Non-dominated sorting on performance indicators for evolutionary many-objective optimization. - Hao Wang; Chaoli Sun; Guochen Zhang; Jonathan E. Fieldsend; Yaochu Jin (Inf. Sci., 2021)

Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. - Shufen Qin; Chaoli Sun; Yaochu Jin; Ying Tan 003; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 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)

Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes. - Khulood AlYahya; Kevin A. J. Doherty; Ozgur E. Akman; Jonathan E. Fieldsend (Metaheuristics for Finding Multiple Solutions, 2021)

Representation, Resolution, and Visualization in Multimodal Optimization. - Jonathan E. Fieldsend (Metaheuristics for Finding Multiple Solutions, 2021)

Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. - Mike Preuss; Michael Epitropakis; Xiaodong Li 001; Jonathan E. Fieldsend (Metaheuristics for Finding Multiple Solutions, 2021)

On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation. - Jonathan E. Fieldsend (EA, 2022)

Towards a Many-Objective Optimiser for University Course Timetabling. - James Sakal; Jonathan E. Fieldsend; Edward C. Keedwell (EA, 2022)

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

PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations. - Tianle Zhang; Wenjie Ruan; Jonathan E. Fieldsend (ECML/PKDD (3), 2022)

Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. - Alma A. M. Rahat; Tinkle Chugh; Jonathan E. Fieldsend; Richard Allmendinger 001; Kaisa Miettinen (PPSN (1), 2022)

Variational Autoencoders Without the Variation. - Gregory A. Daly; Jonathan E. Fieldsend; Gavin R. Tabor (CoRR, 2022)

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

A Visualizable Test Problem Generator for Many-Objective Optimization. - Jonathan E. Fieldsend; Tinkle Chugh; Richard Allmendinger 001; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2022)

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. - Arnaud Liefooghe; Sébastien Vérel; Tinkle Chugh; Jonathan E. Fieldsend; Richard Allmendinger 001; Kaisa Miettinen (EMO, 2023)

Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. - James Sakal; Jonathan E. Fieldsend; Edward C. Keedwell (GECCO Companion, 2023)

Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations. - Melike D. Karatas; Marc Goodfellow; Jonathan E. Fieldsend (SSCI, 2023)

Many-Objective Quality Measures. - Bekir Afsar; Jonathan E. Fieldsend; Andreia P. Guerreiro; Kaisa Miettinen; Sebastian Rojas-Gonzalez; Hiroyuki Sato (Many-Criteria Optimization and Decision Analysis, 2023)

Editorial to the "Best of GECCO 2022" Special Issue: Part I. - Jonathan E. Fieldsend; Markus Wagner 007 (ACM Trans. Evol. Learn. Optim., 2023)

Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders. - Gregory A. Daly; Jonathan E. Fieldsend; Graham Hassall; Gavin R. Tabor (Mach. Learn. Sci. Technol., 2023)

New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. - Ali Ahrari; Jonathan E. Fieldsend; Mike Preuss; Xiaodong Li 001; Michael Epitropakis (GECCO, 2024)

Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. - Ali Ahrari; Jonathan E. Fieldsend; Mike Preuss; Xiaodong Li 001; Michael Epitropakis (GECCO Companion, 2024)

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. - Tianle Zhang; Yanghao Zhang; Ronghui Mu; Jiaxu Liu 001; Jonathan E. Fieldsend; Wenjie Ruan (IJCAI, 2024)

Decoupled Design of Experiments for Expensive Multi-objective Problems. - Mickaël Binois; Jürgen Branke; Jonathan E. Fieldsend; Robin C. Purshouse (LION, 2024)

DIMBA: discretely masked black-box attack in single object tracking. - Xiangyu Yin 001; Wenjie Ruan; Jonathan E. Fieldsend (Mach. Learn., 2024)

Introduction to the "Best of GECCO 2022" Special Issue: Part II. - Jonathan E. Fieldsend; Markus Wagner 007 (ACM Trans. Evol. Learn. Optim., 2024)

Local Optima Networks for Constrained Search Spaces. - Jonathan E. Fieldsend; Arnaud Liefooghe; Katherine M. Malan; Sébastien Vérel (GECCO, 2025)

CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography. - Sneha George Gnanakalavathy; Hairil Abdul Razak; Robert Meertens; Jonathan E. Fieldsend; Xujiong Ye; Mohammed M. Abdelsamea (CoRR, 2025)