Richard M. Everson

103 papers A 10B 13C 8Misc 1Journal 47Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Future Capabilities Agent for Tactical Air Traffic Control. CoRR Paul Kent, George De Ath, Martin Layton, Allen Hart, Richard M. Everson, Ben Carvell
2026	J	`jnl`	Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework. CoRR Ben Carvell, Marc Thomas, Andrew Pace, Christopher Dorney, George De Ath, Richard M. Everson, Nick Pepper, Adam Keane, Samuel Tomlinson, Richard Cannon
2026	J	`jnl`	Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control. CoRR Ben Carvell, George De Ath, Eseoghene Benjamin, Richard M. Everson
2025	J	`jnl`	Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity. CoRR Edward Henderson, Dewi Gould, Richard M. Everson, George De Ath, Nick Pepper
2023	J	`jnl`	Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm. Artif. Intell. Rev. Amenah D. Abbood, Bara'a Ali Attea, Ammar A. Hasan, Richard M. Everson, Clara Pizzuti
2023	J	`jnl`	Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. CoRR Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell
2022	J	`jnl`	A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. CoRR Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell
2022	A	`conf`	Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. GECCO Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
2022	J	`jnl`	Optimising Diversity in Classifier Ensembles. SN Comput. Sci. Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
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	B	`conf`	Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. CEC Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
2021	B	`conf`	Optimising Diversity in Classifier Ensembles of Classification Trees. EvoApplications Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
2020	J	`jnl`	Asynchronous ε-Greedy Bayesian Optimisation. CoRR George De Ath, Richard M. Everson, 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	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`	Solving the first and last mile problem with connected and autonomous vehicles. GECCO (Companion) Alma As-Aad Rahat, Ralph Ledbetter, Alex Dawn, Robert Byrne, Richard M. Everson
2019	—	`conf`	The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou
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`	Brain Tumour Segmentation Method Based on Supervoxels and Sparse Dictionaries. BrainLes@MICCAI (2) Juan Pablo Serrano-Rubio, Richard M. Everson
2018	—	`conf`	Emotional Faces in the Wild: Feature Descriptors for Emotion Classification. ICIAR Huthaifa Abuhammad, Richard M. Everson
2018	J	`jnl`	Part-Based Tracking by Sampling. CoRR George De Ath, Richard M. Everson
2018	—	`conf`	The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 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, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He
2018	—	`conf`	Visual Object Tracking: The Initialisation Problem. CRV George De Ath, Richard M. Everson
2018	J	`jnl`	Visual Object Tracking: The Initialisation Problem. CoRR George De Ath, Richard M. Everson
2017	A	`conf`	Alternative infill strategies for expensive multi-objective optimisation. GECCO Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
2017	J	`jnl`	Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 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, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer
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`	3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs. CSI@MICCAI Hugo Hutt, Richard M. Everson, Judith Meakin
2015	J	`jnl`	How clumpy is my image? Soft Comput. Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn
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	J	`jnl`	The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Richard M. Everson
2014	A	`conf`	Efficiently identifying pareto solutions when objective values change. GECCO Jonathan E. Fieldsend, Richard M. Everson
2014	J	`jnl`	Inexact Bayesian point pattern matching for linear transformations. Pattern Recognit. Jacqueline Christmas, Richard M. Everson, James Bell, C. Peter Winlove
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
2013	A	`conf`	Edges of mutually non-dominating sets. GECCO Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
2013	—	`conf`	How clumpy is my image? Evaluating crowdsourced annotation tasks. UKCI Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn
2013	—	`conf`	Minkowski compactness measure. UKCI Carlos Martinez-Ortiz, Richard M. Everson
2013	B	`conf`	Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring. IJCNN Jacqueline Christmas, Richard M. Everson, Rolando Rodriguez-Munoz, Tom Tregenza
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	J	`jnl`	Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels. Pattern Recognit. Andrew R. J. Clark, Richard M. Everson
2012	—	`conf`	Visualising many-objective populations. GECCO (Companion) David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
2012	J	`jnl`	Weakly Supervised Joint Sentiment-Topic Detection from Text. IEEE Trans. Knowl. Data Eng. Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger
2011	—	`conf`	Rank-based dimension reduction for many-criteria populations. GECCO (Companion) David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
2011	J	`jnl`	Robust Autoregression: Student-t Innovations Using Variational Bayes. IEEE Trans. Signal Process. Jacqueline Christmas, Richard M. Everson
2011	B	`conf`	Sentence Subjectivity Detection with Weakly-Supervised Learning. IJCNLP Chenghua Lin, Yulan He, Richard M. Everson
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`	A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. CoNLL Chenghua Lin, Yulan He, Richard M. Everson
2010	B	`conf`	Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. IJCNN Jacqueline Christmas, Richard M. Everson
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	B	`conf`	Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution. IEEE Congress on Evolutionary Computation Kareem Shaker, David Corne, Richard M. Everson
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
2007	J	`jnl`	Smooth relevance vector machine: a smoothness prior extension of the RVM. Mach. Learn. Alexander Schmolck, Richard M. Everson
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	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	—	`conf`	Personalizing Pervasive Services on Top of Heterogeneous Networks. ICPS Yuping Yang, Richard M. Everson, Richard G. Dewar, M. Howard Williams
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`	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`	Bayesian estimation and classification with incomplete data using mixture models. ICMLA Jufen Zhang, Richard M. Everson
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	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings IDEAL Zheng Rong Yang, Richard M. Everson, Hujun Yin
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	A	`conf`	Representing interests as a hyperlinked document collection. CIKM Michelle Jayne Fisher, Richard M. Everson
2003	J	`jnl`	Using unconstrained elite archives for multiobjective optimization. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh
2003	A	`conf`	When Are Links Useful? Experiments in Text Classification. ECIR Michelle Jayne Fisher, Richard M. Everson
2002	A	`conf`	Controlling Genetic Algorithms With Reinforcement Learning. GECCO James E. Pettinger, Richard M. Everson
2000	J	`jnl`	Blind Source Separation for Non-Stationary Mixing. J. VLSI Signal Process. Richard M. Everson, Stephen J. Roberts
2000	—	`ch.`	Independent Components Analysis. Artificial Neural Networks in Biomedicine Richard M. Everson, Stephen J. Roberts
2000	J	`jnl`	Inferring the eigenvalues of covariance matrices from limited, noisy data. IEEE Trans. Signal Process. Richard M. Everson, Stephen J. Roberts
2000	J	`jnl`	Maximum certainty data partitioning. Pattern Recognit. Stephen J. Roberts, Richard M. Everson, Iead Rezek
1999	J	`jnl`	Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. Neural Comput. Richard M. Everson, Stephen J. Roberts
1997	J	`jnl`	Separating spatially distributed response to stimulation from background. I. Optical imaging. Biol. Cybern. Richard M. Everson, Bruce W. Knight, Lawrence Sirovich