Richard M. Everson

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 36

Top Topics

Linear Transformations

Maximum Lifetime

Object Tracking

Grand Challenge

Top Venues

GECCO (Companion)

Publications

Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. CoRR (2023)
Amenah D. Abbood, Bara'a Ali Attea, Ammar A. Hasan, Richard M. Everson, Clara Pizzuti
Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm. Artif. Intell. Rev. 56 (9) (2023)
Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. CoRR (2022)
Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
Optimising Diversity in Classifier Ensembles. SN Comput. Sci. 3 (3) (2022)
Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. GECCO (2022)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
How Bayesian should Bayesian optimisation be? GECCO Companion (2021)
Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
Optimising Diversity in Classifier Ensembles of Classification Trees. EvoApplications (2021)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
Asynchronous ε-Greedy Bayesian Optimisation. UAI (2021)
Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. CEC (2021)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
How Bayesian Should Bayesian Optimisation Be? CoRR (2021)
George De Ath, Richard M. Everson, Alma As-Aad Rahat, Jonathan E. Fieldsend
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. ACM Trans. Evol. Learn. Optim. 1 (1) (2021)
George De Ath, Jonathan E. Fieldsend, Richard M. Everson
What do you mean?: the role of the mean function in bayesian optimisation. GECCO Companion (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
ε-shotgun: ε-greedy Batch Bayesian Optimisation. CoRR (2020)
George De Ath, Jonathan E. Fieldsend, Richard M. Everson
What do you Mean? The Role of the Mean Function in Bayesian Optimisation. CoRR (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
ϵ-shotgun: ϵ-greedy batch bayesian optimisation. GECCO (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
Asynchronous ε-Greedy Bayesian Optimisation. CoRR (2020)
Alma As-Aad Rahat, Ralph Ledbetter, Alex Dawn, Robert Byrne, Richard M. Everson
Solving the first and last mile problem with connected and autonomous vehicles. GECCO (Companion) (2019)
Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions. CoRR (2019)
George De Ath, Richard M. Everson, Alma As-Aad Mohammad Rahat, Jonathan E. Fieldsend
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. CoRR (2019)
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, Zhen-Hua 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
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops (2019)
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, Zhen-Hua Feng, Zhihui Wang, Zhiqun He
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) (2018)
George De Ath, Richard M. Everson
Visual Object Tracking: The Initialisation Problem. CoRR (2018)
Juan Pablo Serrano Rubio, Richard M. Everson
Brain Tumour Segmentation Method Based on Supervoxels and Sparse Dictionaries. BrainLes@MICCAI (2) (2018)
George De Ath, Richard M. Everson
Part-Based Tracking by Sampling. CoRR (2018)
Huthaifa Abuhammad, Richard M. Everson
Emotional Faces in the Wild: Feature Descriptors for Emotion Classification. ICIAR (2018)
George De Ath, Richard M. Everson
Visual Object Tracking: The Initialisation Problem. CRV (2018)
Steven J. Daniels, Alma As-Aad Mohammad Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. PPSN (2) (2018)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Alternative infill strategies for expensive multi-objective optimisation. GECCO (2017)
Guoyan Zheng, Chengwen Chu, Daniel 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
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35 (2017)
David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. GECCO (Companion) (2016)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks. Ad Hoc Networks 52 (2016)
Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. GECCO (Companion) (2016)
Jonathan E. Fieldsend, Richard M. Everson
The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. IEEE Trans. Evol. Comput. 19 (1) (2015)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks. Evol. Comput. 23 (3) (2015)
Hugo Hutt, Richard M. Everson, Judith Meakin
3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs. CSI@MICCAI (2015)
Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn
How clumpy is my image? Soft Comput. 19 (6) (2015)
Jonathan E. Fieldsend, Richard M. Everson
Efficiently identifying pareto solutions when objective values change. GECCO (2014)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. GECCO (2014)
Jacqueline Christmas, Richard M. Everson, James Bell, C. P. Winlove
Inexact Bayesian point pattern matching for linear transformations. Pattern Recognit. 47 (10) (2014)
Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets. Evol. Comput. 22 (3) (2014)
Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
Edges of mutually non-dominating sets. GECCO (2013)
Carlos Martinez-Ortiz, Richard M. Everson
Minkowski compactness measure. UKCI (2013)
Jacqueline Christmas, Richard M. Everson, Rolando Rodriguez-Munoz, Tom Tregenza
Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring. IJCNN (2013)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. IEEE Trans. Evol. Comput. 17 (2) (2013)
Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn
How clumpy is my image? Evaluating crowdsourced annotation tasks. UKCI (2013)
Jonathan E. Fieldsend, Richard M. Everson
Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. EMO (2013)
Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger
Weakly Supervised Joint Sentiment-Topic Detection from Text. IEEE Trans. Knowl. Data Eng. 24 (6) (2012)
David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
Visualising many-objective populations. GECCO (Companion) (2012)
Andrew R. J. Clark, Richard M. Everson
Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels. Pattern Recognit. 45 (9) (2012)
Jacqueline Christmas, Richard M. Everson
Robust Autoregression: Student-t Innovations Using Variational Bayes. IEEE Trans. Signal Process. 59 (1) (2011)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Rank-based dimension reduction for many-criteria populations. GECCO (Companion) (2011)
Chenghua Lin, Yulan He, Richard M. Everson
Sentence Subjectivity Detection with Weakly-Supervised Learning. IJCNLP (2011)
Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend
A Bayesian framework for active learning. IJCNN (2010)
William J. Reckhouse, Jonathan E. Fieldsend, Richard M. Everson
Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert. IEEE Congress on Evolutionary Computation (2010)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Visualisation and ordering of many-objective populations. IEEE Congress on Evolutionary Computation (2010)
Jacqueline Christmas, Richard M. Everson
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. IJCNN (2010)
Chenghua Lin, Yulan He, Richard M. Everson
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. CoNLL (2010)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR (2010)
Jonathan E. Fieldsend, Richard M. Everson
On the efficient use of uncertainty when performing expensive ROC optimisation. IEEE Congress on Evolutionary Computation (2008)
Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend, Chris Murphy, Rashmi Misra
Dominance-Based Multiobjective Simulated Annealing. IEEE Trans. Evol. Comput. 12 (3) (2008)
Alexander Schmolck, Richard M. Everson
Smooth relevance vector machine: a smoothness prior extension of the RVM. Mach. Learn. 68 (2) (2007)
Kareem Shaker, David Corne, Richard M. Everson
Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution. IEEE Congress on Evolutionary Computation (2007)
Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. 16 (1) (2007)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernandez, Wojtek J. Krzanowski, Vitaly Schetinin
Classification with Confidence for Critical Systems. SSS (2006)
Richard M. Everson, Jonathan E. Fieldsend
Multi-class ROC analysis from a multi-objective optimisation perspective. Pattern Recognit. Lett. 27 (8) (2006)
Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernandez
Optimising Data-Driven Safety Related Systems. SSS (2006)
Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
Confidence in Classification: A Bayesian Approach. J. Classif. 23 (2) (2006)
Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC (2006)
Yuping Yang, Richard M. Everson, Richard G. Dewar, M. Howard Williams
Personalizing Pervasive Services on Top of Heterogeneous Networks. ICPS (2006)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5 (4) (2006)
Richard M. Everson, Jonathan E. Fieldsend
Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert. IEEE Trans. Evol. Comput. 10 (2) (2006)
Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend
A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. EMO (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR (2005)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR (2005)
Jonathan E. Fieldsend, Richard M. Everson
Multi-objective optimisation in the presence of uncertainty. Congress on Evolutionary Computation (2005)
Jonathan E. Fieldsend, Richard M. Everson
ROC Optimisation of Safety Related Systems. ROCAI (2004)
Jufen Zhang, Richard M. Everson
Bayesian estimation and classification with incomplete data using mixture models. ICMLA (2004)
Richard M. Everson, Jonathan E. Fieldsend
A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. IDEAL (2004)
Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend
Dominance measures for multi-objective simulated annealing. IEEE Congress on Evolutionary Computation (2004)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL (2004)
Michelle Jayne Fisher, Jonathan E. Fieldsend, Richard M. Everson
Precision and Recall Optimisation for Information Access Tasks. ROCAI (2004)
Michelle Jayne Fisher, Richard M. Everson
Representing interests as a hyperlinked document collection. CIKM (2003)
Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh
Using unconstrained elite archives for multiobjective optimization. IEEE Trans. Evol. Comput. 7 (3) (2003)
Michelle Jayne Fisher, Richard M. Everson
When Are Links Useful? Experiments in Text Classification. ECIR (2003)
James E. Pettinger, Richard M. Everson
Controlling Genetic Algorithms With Reinforcement Learning. GECCO (2002)
Richard M. Everson, Stephen J. Roberts
Blind Source Separation for Non-Stationary Mixing. J. VLSI Signal Process. 26 (1-2) (2000)
Stephen J. Roberts, Richard M. Everson, Iead Rezek
Maximum certainty data partitioning. Pattern Recognit. 33 (5) (2000)
Richard M. Everson, Stephen J. Roberts
Inferring the eigenvalues of covariance matrices from limited, noisy data. IEEE Trans. Signal Process. 48 (7) (2000)
Richard M. Everson, Stephen J. Roberts
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. Neural Comput. 11 (8) (1999)
Richard M. Everson, Bruce W. Knight, Lawrence Sirovich
Separating spatially distributed response to stimulation from background. I. Optical imaging. Biol. Cybern. 77 (6) (1997)