Jonathan E. Fieldsend

126 papers A* 1A 16B 9C 8Misc 1Journal 43Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography. CoRR Sneha George Gnanakalavathy, Hairil Abdul Razak, Robert Meertens, Jonathan E. Fieldsend, Xujiong Ye, Mohammed M. Abdelsamea
2025	A	`conf`	Local Optima Networks for Constrained Search Spaces. GECCO Jonathan E. Fieldsend, Arnaud Liefooghe, Katherine M. Malan, Sébastien Vérel
2025	—	`conf`	Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test Case. GECCO Companion Ben Moore, Andrew Roberts, Daniel Jarman, Alma Rahat, Jonathan E. Fieldsend, Gavin R. Tabor
2024	J	`jnl`	DIMBA: discretely masked black-box attack in single object tracking. Mach. Learn. Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
2024	—	`conf`	Decoupled Design of Experiments for Expensive Multi-objective Problems. LION Mickaël Binois, Jürgen Branke, Jonathan E. Fieldsend, Robin C. Purshouse
2024	—	`conf`	Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. GECCO Companion Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
2024	J	`jnl`	Introduction to the "Best of GECCO 2022" Special Issue: Part II. ACM Trans. Evol. Learn. Optim. Jonathan E. Fieldsend, Markus Wagner
2024	A	`conf`	New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
2024	A*	`conf`	PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. IJCAI Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan
2024	—	`conf`	Scalable Local Optima Networks for Continuous Search Spaces. EA Jonathan E. Fieldsend
2023	J	`jnl`	Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders. Mach. Learn. Sci. Technol. Gregory A. Daly, Jonathan E. Fieldsend, Graham Hassall, Gavin R. Tabor
2023	J	`jnl`	Editorial to the "Best of GECCO 2022" Special Issue: Part I. ACM Trans. Evol. Learn. Optim. Jonathan E. Fieldsend, Markus Wagner
2023	—	`conf`	Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations. SSCI Melike D. Karatas, Marc Goodfellow, Jonathan E. Fieldsend
2023	C	`conf`	Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2023	—	`conf`	Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. GECCO Companion James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
2023	—	`ch.`	Many-Objective Quality Measures. Many-Criteria Optimization and Decision Analysis Bekir Afsar, Jonathan E. Fieldsend, Andreia P. Guerreiro, Kaisa Miettinen, Sebastian Rojas-Gonzalez, Hiroyuki Sato
2022	J	`jnl`	A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2022	J	`jnl`	DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. CoRR Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
2022	—	`conf`	Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022	J	`jnl`	Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022	A	`ed.`	GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022 GECCO Jonathan E. Fieldsend, Markus Wagner
2022	—	`ed.`	GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022 GECCO Companion Jonathan E. Fieldsend, Markus Wagner
2022	A	`conf`	Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. GECCO Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
2022	—	`conf`	On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation. EA Jonathan E. Fieldsend
2022	J	`jnl`	Optimising Diversity in Classifier Ensembles. SN Comput. Sci. Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
2022	—	`conf`	PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations. ECML/PKDD (3) Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
2022	J	`jnl`	PRoA: A Probabilistic Robustness Assessment against Functional Perturbations. CoRR Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
2022	—	`conf`	Towards a Many-Objective Optimiser for University Course Timetabling. EA James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
2022	J	`jnl`	Variational Autoencoders Without the Variation. CoRR Gregory A. Daly, Jonathan E. Fieldsend, Gavin R. Tabor
2021	J	`jnl`	A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport. Int. J. Comput. Sci. Sport P. J. Watson, Jonathan E. Fieldsend, V. H. Stiles
2021	A	`conf`	Asynchronous ε-Greedy Bayesian Optimisation. UAI George De Ath, Richard M. Everson, Jonathan E. Fieldsend
2021	J	`jnl`	Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. ACM Trans. Evol. Learn. Optim. George De Ath, Richard M. Everson, Alma As-Aad Rahat, Jonathan E. Fieldsend
2021	J	`jnl`	How Bayesian Should Bayesian Optimisation Be? CoRR George De Ath, Richard M. Everson, Jonathan E. Fieldsend
2021	—	`conf`	How Bayesian should Bayesian optimisation be? GECCO Companion George De Ath, Richard M. Everson, Jonathan E. Fieldsend
2021	J	`jnl`	Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Trans. Evol. Comput. Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend
2021	—	`conf`	Learning assignment order in an ant colony optimiser for the university course timetabling problem. GECCO Companion James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
2021	—	`book`	Metaheuristics for Finding Multiple Solutions Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend
2021	B	`conf`	Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. CEC Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
2021	—	`ch.`	Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. Metaheuristics for Finding Multiple Solutions Mike Preuss, Michael Epitropakis, Xiaodong Li, Jonathan E. Fieldsend
2021	J	`jnl`	Non-dominated sorting on performance indicators for evolutionary many-objective optimization. Inf. Sci. Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin
2021	B	`conf`	Optimising Diversity in Classifier Ensembles of Classification Trees. EvoApplications Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
2021	—	`ch.`	Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes. Metaheuristics for Finding Multiple Solutions Khulood AlYahya, Kevin A. J. Doherty, Ozgur E. Akman, Jonathan E. Fieldsend
2021	—	`ch.`	Representation, Resolution, and Visualization in Multimodal Optimization. Metaheuristics for Finding Multiple Solutions Jonathan E. Fieldsend
2021	—	`conf`	Towards population-based fitness landscape analysis using local optima networks. GECCO Companion Melike D. Karatas, Ozgur E. Akman, Jonathan E. Fieldsend
2020	J	`jnl`	Asynchronous ε-Greedy Bayesian Optimisation. CoRR George De Ath, Richard M. Everson, Jonathan E. Fieldsend
2020	A	`conf`	Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances. GECCO Jonathan E. Fieldsend
2020	J	`jnl`	What do you Mean? The Role of the Mean Function in Bayesian Optimisation. CoRR George De Ath, Jonathan E. Fieldsend, Richard M. Everson
2020	—	`conf`	What do you mean?: the role of the mean function in bayesian optimisation. GECCO Companion George De Ath, Jonathan E. Fieldsend, Richard M. Everson
2020	J	`jnl`	ε-shotgun: ε-greedy Batch Bayesian Optimisation. CoRR George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
2020	A	`conf`	ϵ-shotgun: ϵ-greedy batch bayesian optimisation. GECCO George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
2019	J	`jnl`	A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions. CoRR Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
2019	—	`conf`	A New Initialisation Method for Examination Timetabling Heuristics. SSCI Amjad A. Alsuwaylimi, Jonathan E. Fieldsend
2019	A	`conf`	A feature rich distance-based many-objective visualisable test problem generator. GECCO Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2019	—	`conf`	Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms. SSCI Abdulaziz T. Almutairi, Jonathan E. Fieldsend
2019	A	`conf`	Efficient real-time hypervolume estimation with monotonically reducing error. GECCO Jonathan E. Fieldsend
2019	J	`jnl`	Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. CoRR George De Ath, Richard M. Everson, Alma As-Aad Mohammad Rahat, Jonathan E. Fieldsend
2019	—	`conf`	Landscape analysis under measurement error. GECCO (Companion) Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend
2019	—	`conf`	Visualising the landscape of multi-objective problems using local optima networks. GECCO (Companion) Jonathan E. Fieldsend, Khulood AlYahya
2018	—	`conf`	A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. PPSN (2) Steven J. Daniels, Alma As-Aad Mohammad Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend
2018	—	`conf`	Computationally efficient local optima network construction. GECCO (Companion) Jonathan E. Fieldsend
2018	—	`conf`	Robust multi-modal optimisation. GECCO (Companion) Khulood AlYahya, Kevin Anthony James Doherty, Ozgur E. Akman, Jonathan E. Fieldsend
2018	—	`conf`	Voronoi-based archive sampling for robust optimisation. GECCO (Companion) Kevin Anthony James Doherty, Khulood AlYahya, Jonathan E. Fieldsend, Ozgur E. Akman
2017	J	`jnl`	A Framework of Fog Computing: Architecture, Challenges, and Optimization. IEEE Access Yang Liu, Jonathan E. Fieldsend, Geyong Min
2017	A	`conf`	Alternative infill strategies for expensive multi-objective optimisation. GECCO Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
2017	A	`conf`	Constraint handling in efficient global optimization. GECCO Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya
2017	—	`conf`	On the exploitation of search history and accumulative sampling in robust optimisation. GECCO (Companion) Khulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman
2017	—	`conf`	Optimisation and landscape analysis of computational biology models: a case study. GECCO (Companion) Kevin Anthony James Doherty, Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend
2017	A	`conf`	University staff teaching allocation: formulating and optimising a many-objective problem. GECCO Jonathan E. Fieldsend
2016	—	`conf`	Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems. GECCO (Companion) Jonathan E. Fieldsend
2016	J	`jnl`	Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks. Ad Hoc Networks Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
2016	—	`conf`	Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. GECCO (Companion) Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang
2016	—	`conf`	Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. GECCO (Companion) David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
2015	—	`conf`	Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation. EMO (2) Jonathan E. Fieldsend
2015	J	`jnl`	Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks. Evol. Comput. Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
2015	A	`conf`	Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming. GECCO Jonathan E. Fieldsend, Alberto Moraglio
2015	J	`jnl`	The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Richard M. Everson
2015	J	`jnl`	Using an adaptive collection of local evolutionary algorithms for multi-modal problems. Soft Comput. Jonathan E. Fieldsend
2014	A	`conf`	Efficiently identifying pareto solutions when objective values change. GECCO Jonathan E. Fieldsend, Richard M. Everson
2014	J	`jnl`	Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets. Evol. Comput. Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
2014	A	`conf`	Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. GECCO Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
2014	B	`conf`	Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser. IEEE Congress on Evolutionary Computation Jonathan E. Fieldsend
2013	A	`conf`	Edges of mutually non-dominating sets. GECCO Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
2013	—	`conf`	Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm. UKCI Jonathan E. Fieldsend
2013	C	`conf`	Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. EMO Jonathan E. Fieldsend, Richard M. Everson
2013	J	`jnl`	Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. IEEE Trans. Evol. Comput. David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
2012	—	`conf`	Visualising many-objective populations. GECCO (Companion) David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
2011	—	`conf`	Rank-based dimension reduction for many-criteria populations. GECCO (Companion) David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
2010	J	`jnl`	A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2010	B	`conf`	A Bayesian framework for active learning. IJCNN Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend
2010	B	`conf`	Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert. IEEE Congress on Evolutionary Computation William J. Reckhouse, Jonathan E. Fieldsend, Richard M. Everson
2010	B	`conf`	Visualisation and ordering of many-objective populations. IEEE Congress on Evolutionary Computation David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
2008	J	`jnl`	Dominance-Based Multiobjective Simulated Annealing. IEEE Trans. Evol. Comput. Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend, Chris Murphy, Rashmi Misra
2008	—	`ch.`	Multiobjective Supervised Learning. Multiobjective Problem Solving from Nature Jonathan E. Fieldsend, Richard M. Everson
2008	B	`conf`	On the efficient use of uncertainty when performing expensive ROC optimisation. IEEE Congress on Evolutionary Computation Jonathan E. Fieldsend, Richard M. Everson
2007	J	`jnl`	Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2007	—	`ch.`	Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. Perception-based Data Mining and Decision Making in Economics and Finance Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2007	J	`jnl`	Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
2006	—	`ch.`	A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. Integrated Intelligent Systems for Engineering Design Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2006	C	`conf`	Classification with Confidence for Critical Systems. SSS Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernández, Wojtek J. Krzanowski, Vitaly Schetinin
2006	J	`jnl`	Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2006	J	`jnl`	Confidence in Classification: A Bayesian Approach. J. Classif. Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
2006	Misc	`conf`	Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
2006	—	`ch.`	Multi-Objective Optimisation for Receiver Operating Characteristic Analysis. Multi-Objective Machine Learning Richard M. Everson, Jonathan E. Fieldsend
2006	J	`jnl`	Multi-class ROC analysis from a multi-objective optimisation perspective. Pattern Recognit. Lett. Richard M. Everson, Jonathan E. Fieldsend
2006	J	`jnl`	Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert. IEEE Trans. Evol. Comput. Richard M. Everson, Jonathan E. Fieldsend
2006	J	`jnl`	Notes on shape orientation where the standard method does not work. Pattern Recognit. Jovisa D. Zunic, Lazar Kopanja, Jonathan E. Fieldsend
2006	C	`conf`	Optimising Data-Driven Safety Related Systems. SSS Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernández
2006	—	`ch.`	Regression Error Characteristic Optimisation of Non-Linear Models. Multi-Objective Machine Learning Jonathan E. Fieldsend
2005	C	`conf`	A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. EMO Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend
2005	J	`jnl`	Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2005	J	`jnl`	Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2005	J	`jnl`	Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández
2005	B	`conf`	Multi-objective optimisation in the presence of uncertainty. Congress on Evolutionary Computation Jonathan E. Fieldsend, Richard M. Everson
2005	J	`jnl`	Pareto evolutionary neural networks. IEEE Trans. Neural Networks Jonathan E. Fieldsend, Sameer Singh
2005	J	`jnl`	The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2004	C	`conf`	A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. IDEAL Richard M. Everson, Jonathan E. Fieldsend
2004	C	`conf`	Cardinality Constrained Portfolio Optimisation. IDEAL Jonathan E. Fieldsend, John Matatko, Ming Peng
2004	B	`conf`	Dominance measures for multi-objective simulated annealing. IEEE Congress on Evolutionary Computation Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend
2004	C	`conf`	Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández
2004	—	`conf`	Precision and Recall Optimisation for Information Access Tasks. ROCAI Michelle Jayne Fisher, Jonathan E. Fieldsend, Richard M. Everson
2004	—	`conf`	ROC Optimisation of Safety Related Systems. ROCAI Jonathan E. Fieldsend, Richard M. Everson
2003	—	`—`	Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training. Jonathan E. Fieldsend
2003	J	`jnl`	Using unconstrained elite archives for multiobjective optimization. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh
2001	—	`conf`	Pattern Matching and Neural Networks Based Hybrid Forecasting System. ICAPR Sameer Singh, Jonathan E. Fieldsend
2000	—	`conf`	Financial time series forecasts using fuzzy and long memory pattern recognition systems. CIFEr Sameer Singh, Jonathan E. Fieldsend
2000	—	`conf`	Identification of Masses in Digital Mammograms with MLP and RBF Nets. IJCNN (1) Keir Bovis, Sameer Singh, Jonathan E. Fieldsend, Chris Pinder