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2020 – today
- 2023
[j28]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): 9665-9697 (2023)- [i15]Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell:
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. CoRR abs/2309.14957 (2023) - 2022
- [j27]Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend:
Optimising Diversity in Classifier Ensembles. SN Comput. Sci. 3(3): 191 (2022) - [c50]Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend:
Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. GECCO 2022: 786-795 - [i14]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 abs/2210.01445 (2022) - 2021
- [j26]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): 1:1-1:22 (2021) - [c49]Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend:
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. CEC 2021: 1503-1510 - [c48]Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend:
Optimising Diversity in Classifier Ensembles of Classification Trees. EvoApplications 2021: 634-648 - [c47]George De Ath, Richard M. Everson, Jonathan E. Fieldsend:
How Bayesian should Bayesian optimisation be? GECCO Companion 2021: 1860-1869 - [c46]George De Ath, Richard M. Everson, Jonathan E. Fieldsend:
Asynchronous ε-Greedy Bayesian Optimisation. UAI 2021: 578-588 - [i13]George De Ath, Richard M. Everson, Jonathan E. Fieldsend:
How Bayesian Should Bayesian Optimisation Be? CoRR abs/2105.00894 (2021) - 2020
- [c45]George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat:
ϵ-shotgun: ϵ-greedy batch bayesian optimisation. GECCO 2020: 787-795 - [c44]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: 1623-1631 - [i12]George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat:
ε-shotgun: ε-greedy Batch Bayesian Optimisation. CoRR abs/2002.01873 (2020) - [i11]George De Ath, Jonathan E. Fieldsend, Richard M. Everson:
What do you Mean? The Role of the Mean Function in Bayesian Optimisation. CoRR abs/2004.08349 (2020) - [i10]George De Ath, Richard M. Everson, Jonathan E. Fieldsend:
Asynchronous ε-Greedy Bayesian Optimisation. CoRR abs/2010.07615 (2020)
2010 – 2019
- 2019
- [c43]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: 397-398 - [c42]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: 2206-2241 - [i9]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 abs/1904.11416 (2019) - [i8]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 abs/1911.12809 (2019) - 2018
- [c41]George De Ath, Richard M. Everson:
Visual Object Tracking: The Initialisation Problem. CRV 2018: 142-149 - [c40]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 S. 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: 3-53 - [c39]Huthaifa Abuhammad, Richard M. Everson:
Emotional Faces in the Wild: Feature Descriptors for Emotion Classification. ICIAR 2018: 164-174 - [c38]Juan Pablo Serrano Rubio, Richard M. Everson:
Brain Tumour Segmentation Method Based on Supervoxels and Sparse Dictionaries. BrainLes@MICCAI (2) 2018: 210-221 - [c37]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: 296-307 - [i7]George De Ath, Richard M. Everson:
Visual Object Tracking: The Initialisation Problem. CoRR abs/1805.01146 (2018) - [i6]George De Ath, Richard M. Everson:
Part-Based Tracking by Sampling. CoRR abs/1805.08511 (2018) - 2017
- [j25]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:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [c36]Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend:
Alternative infill strategies for expensive multi-objective optimisation. GECCO 2017: 873-880 - 2016
- [j24]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: 130-145 (2016) - [c35]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: 1265-1266 - [c34]David J. Walker, Jonathan E. Fieldsend, Richard M. Everson:
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. GECCO (Companion) 2016: 1445-1446 - 2015
- [j23]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): 481-507 (2015) - [j22]Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn:
How clumpy is my image? Soft Comput. 19(6): 1541-1552 (2015) - [j21]Jonathan E. Fieldsend, Richard M. Everson:
The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. IEEE Trans. Evol. Comput. 19(1): 103-117 (2015) - [c33]Hugo Hutt, Richard M. Everson, Judith Meakin:
3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs. CSI@MICCAI 2015: 125-129 - 2014
- [j20]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): 479-501 (2014) - [j19]Jacqueline Christmas, Richard M. Everson, James Bell, C. Peter Winlove:
Inexact Bayesian point pattern matching for linear transformations. Pattern Recognit. 47(10): 3265-3275 (2014) - [c32]Jonathan E. Fieldsend, Richard M. Everson:
Efficiently identifying pareto solutions when objective values change. GECCO 2014: 605-612 - [c31]Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend:
Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. GECCO 2014: 1175-1182 - 2013
- [j18]David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. IEEE Trans. Evol. Comput. 17(2): 165-184 (2013) - [c30]Jonathan E. Fieldsend, Richard M. Everson:
Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. EMO 2013: 558-572 - [c29]Richard M. Everson, David J. Walker, Jonathan E. Fieldsend:
Edges of mutually non-dominating sets. GECCO 2013: 607-614 - [c28]Jacqueline Christmas, Richard M. Everson, Rolando Rodriguez-Munoz, Tom Tregenza:
Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring. IJCNN 2013: 1-8 - [c27]Carlos Martinez-Ortiz, Richard M. Everson:
Minkowski compactness measure. UKCI 2013: 62-66 - [c26]Hugo Hutt, Richard M. Everson, Murray Grant, John Love, George Littlejohn:
How clumpy is my image? Evaluating crowdsourced annotation tasks. UKCI 2013: 136-143 - 2012
- [j17]Andrew R. J. Clark, Richard M. Everson:
Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution kernels. Pattern Recognit. 45(9): 3535-3543 (2012) - [j16]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): 1134-1145 (2012) - [c25]David J. Walker, Jonathan E. Fieldsend, Richard M. Everson:
Visualising many-objective populations. GECCO (Companion) 2012: 451-458 - 2011
- [j15]Jacqueline Christmas, Richard M. Everson:
Robust Autoregression: Student-t Innovations Using Variational Bayes. IEEE Trans. Signal Process. 59(1): 48-57 (2011) - [c24]David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
Rank-based dimension reduction for many-criteria populations. GECCO (Companion) 2011: 107-108 - [c23]Chenghua Lin, Yulan He, Richard M. Everson:
Sentence Subjectivity Detection with Weakly-Supervised Learning. IJCNLP 2011: 1153-1161 - 2010
- [c22]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: 1-8 - [c21]David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
Visualisation and ordering of many-objective populations. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Chenghua Lin, Yulan He, Richard M. Everson:
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. CoNLL 2010: 144-152 - [c19]Jacqueline Christmas, Richard M. Everson:
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. IJCNN 2010: 1-8 - [c18]Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend:
A Bayesian framework for active learning. IJCNN 2010: 1-8 - [i5]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. CoRR abs/1012.0322 (2010)
2000 – 2009
- 2008
- [j14]Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend, Chris Murphy, Rashmi Misra:
Dominance-Based Multiobjective Simulated Annealing. IEEE Trans. Evol. Comput. 12(3): 323-342 (2008) - [c17]Jonathan E. Fieldsend, Richard M. Everson:
On the efficient use of uncertainty when performing expensive ROC optimisation. IEEE Congress on Evolutionary Computation 2008: 3984-3991 - [p5]Jonathan E. Fieldsend, Richard M. Everson:
Multiobjective Supervised Learning. Multiobjective Problem Solving from Nature 2008: 155-176 - 2007
- [j13]Alexander Schmolck, Richard M. Everson:
Smooth relevance vector machine: a smoothness prior extension of the RVM. Mach. Learn. 68(2): 107-135 (2007) - [j12]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): 1-10 (2007) - [j11]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11(3): 312-319 (2007) - [c16]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: 2071-2077 - [p4]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. Perception-based Data Mining and Decision Making in Economics and Finance 2007: 155-179 - 2006
- [j10]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): 199-220 (2006) - [j9]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5(4): 397-416 (2006) - [j8]Richard M. Everson, Jonathan E. Fieldsend:
Multi-class ROC analysis from a multi-objective optimisation perspective. Pattern Recognit. Lett. 27(8): 918-927 (2006) - [j7]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): 187-198 (2006) - [c15]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: 972-981 - [c14]Yuping Yang, Richard M. Everson, Richard G. Dewar, M. Howard Williams:
Personalizing Pervasive Services on Top of Heterogeneous Networks. ICPS 2006: 257-260 - [c13]Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernández:
Optimising Data-Driven Safety Related Systems. SSS 2006: 217-230 - [c12]Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernández, Wojtek J. Krzanowski, Vitaly Schetinin:
Classification with Confidence for Critical Systems. SSS 2006: 231-239 - [p3]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. Integrated Intelligent Systems for Engineering Design 2006: 82-96 - [p2]Richard M. Everson, Jonathan E. Fieldsend:
Multi-Objective Optimisation for Receiver Operating Characteristic Analysis. Multi-Objective Machine Learning 2006: 533-556 - 2005
- [c11]Jonathan E. Fieldsend, Richard M. Everson:
Multi-objective optimisation in the presence of uncertainty. Congress on Evolutionary Computation 2005: 243-250 - [c10]Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend:
A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. EMO 2005: 459-473 - [i4]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
The Bayesian Decision Tree Technique with a Sweeping Strategy. CoRR abs/cs/0504042 (2005) - [i3]Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. CoRR abs/cs/0504043 (2005) - [i2]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data. CoRR abs/cs/0504065 (2005) - [i1]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. CoRR abs/cs/0504066 (2005) - 2004
- [c9]Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend:
Dominance measures for multi-objective simulated annealing. IEEE Congress on Evolutionary Computation 2004: 23-30 - [c8]Jufen Zhang, Richard M. Everson:
Bayesian estimation and classification with incomplete data using mixture models. ICMLA 2004: 296-303 - [c7]Richard M. Everson, Jonathan E. Fieldsend:
A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. IDEAL 2004: 654-659 - [c6]Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL 2004: 726-732 - [c5]Jonathan E. Fieldsend, Richard M. Everson:
ROC Optimisation of Safety Related Systems. ROCAI 2004: 37-44 - [c4]Michelle Jayne Fisher, Jonathan E. Fieldsend, Richard M. Everson:
Precision and Recall Optimisation for Information Access Tasks. ROCAI 2004: 45-54 - [e1]Zheng Rong Yang, Richard M. Everson, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings. Lecture Notes in Computer Science 3177, Springer 2004, ISBN 3-540-22881-0 [contents] - 2003
- [j6]Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh:
Using unconstrained elite archives for multiobjective optimization. IEEE Trans. Evol. Comput. 7(3): 305-323 (2003) - [c3]Michelle Jayne Fisher, Richard M. Everson:
Representing interests as a hyperlinked document collection. CIKM 2003: 378-385 - [c2]Michelle Jayne Fisher, Richard M. Everson:
When Are Links Useful? Experiments in Text Classification. ECIR 2003: 41-56 - 2002
- [c1]James E. Pettinger, Richard M. Everson:
Controlling Genetic Algorithms With Reinforcement Learning. GECCO 2002: 692 - 2000
- [j5]Stephen J. Roberts, Richard M. Everson, Iead Rezek:
Maximum certainty data partitioning. Pattern Recognit. 33(5): 833-839 (2000) - [j4]Richard M. Everson, Stephen J. Roberts:
Inferring the eigenvalues of covariance matrices from limited, noisy data. IEEE Trans. Signal Process. 48(7): 2083-2091 (2000) - [j3]Richard M. Everson, Stephen J. Roberts:
Blind Source Separation for Non-Stationary Mixing. J. VLSI Signal Process. 26(1-2): 15-23 (2000) - [p1]Richard M. Everson, Stephen J. Roberts:
Independent Components Analysis. Artificial Neural Networks in Biomedicine 2000: 153-168
1990 – 1999
- 1999
- [j2]Richard M. Everson, Stephen J. Roberts:
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. Neural Comput. 11(8): 1957-1983 (1999) - 1997
- [j1]Richard M. Everson, Bruce W. Knight, Lawrence Sirovich:
Separating spatially distributed response to stimulation from background. I. Optical imaging. Biol. Cybern. 77(6): 407-417 (1997)
Coauthor Index
[j27] [c50] [j26] [c49] [c48] [c47] [c46] [i13] [c45] [c44] [i12] [i11] [i10] [i9] [i8] [c37] [c36] [j24] [c35] [c34] [j23] [j21] [j20] [c32] [c31] [j18] [c30] [c29] [c25] [c24] [c22] [c21] [c18] [i5] [j14] [c17] [p5] [j12] [j11] [p4] [j10] [j9] [j8] [j7] [c15] [c13] [c12] [p3] [p2] [c11] [c10] [i4] [i3] [i2] [i1] [c9] [c7] [c6] [c5] [c4] [j6]
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Alma As-Aad Mohammad Rahat
aka: Alma As-Aad Rahat
aka: Alma As-Aad Rahat
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
