Colin Campbell

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Tom GauntMRC Integrative Epidemiology Unit, University of BristolVerified email at bristol.ac.uk
Yiming YingSchool of Mathematics and Statistics, University of SydneyVerified email at sydney.edu.au
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Konstantinos Veropoulos, Ph.D.Instructor, Metropolitan CollegeVerified email at freemail.gr
Simon RogersSenior Lecturer, Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Colin CooperProfessor of Genetics, University of East AngliaVerified email at uea.ac.uk
David N. CooperProfessor of Human Molecular Genetics, Cardiff University, UKVerified email at cardiff.ac.uk
Kaizhu HuangProfessor of ECE, Duke Kunshan UniversityVerified email at dukekunshan.edu.cn
Ralf HerbrichHasso Plattner InstituteVerified email at hpi.de
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLVerified email at ucl.ac.uk
Jose Antonio SeoaneJunior Group Leader at VHIOVerified email at vhio.net
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
K. Y. M. WongProfessor of Physics, Hong Kong University of Science and TechnologyVerified email at ust.hk
Sameer jhavarResident Radiation OncologyVerified email at sw.org
Alex SmolaBoson AIVerified email at smola.org
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Prof. Julian GoughMRC Laboratory of Molecular Biology, CambridgeVerified email at mrc-lmb.cam.ac.uk
Nicholas John TimpsonUniversity of BristolVerified email at bristol.ac.uk
Mike TippingProfessor of Machine Learning, University of Bath, U.K. :: Advisor at HomeLink & PropfloVerified email at miketipping.com

Colin Campbell

University of Bristol

Verified email at bris.ac.uk - Homepage

Machine learning bioinformatics


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Support vector machines: hype or hallelujah? KP Bennett, C Campbell ACM SIGKDD explorations newsletter 2 (2), 1-13, 2000	1164	2000
Controlling the sensitivity of support vector machines K Veropoulos, C Campbell, N Cristianini Proceedings of the international joint conference on AI 55, 60, 1999	1109	1999
An integrative approach to predicting the functional effects of non-coding and coding sequence variation HA Shihab, MF Rogers, J Gough, M Mort, DN Cooper, INM Day, TR Gaunt, ... Bioinformatics 31 (10), 1536-1543, 2015	707	2015
Query learning with large margin classifiers C Campbell, N Cristianini, A Smola ICML 20 (0), 0, 2000	540	2000
The kernel-adatron algorithm: a fast and simple learning procedure for support vector machines TT Frie, N Cristianini, C Campbell Machine learning: proceedings of the fifteenth international conference …, 1998	494	1998
Learning with support vector machines C Campbell, Y Ying Springer Nature, 2022	488	2022
Kernel methods: a survey of current techniques C Campbell Neurocomputing 48 (1-4), 63-84, 2002	378	2002
Estimating dataset size requirements for classifying DNA microarray data S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ... Journal of computational biology 10 (2), 119-142, 2003	366	2003
FATHMM-XF: accurate prediction of pathogenic point mutations via extended features MF Rogers, HA Shihab, M Mort, DN Cooper, TR Gaunt, C Campbell Bioinformatics 34 (3), 511-513, 2018	365	2018
Bayes point machines R Herbrich, T Graepel, C Campbell Journal of Machine Learning Research 1 (Aug), 245-279, 2001	338	2001
A linear programming approach to novelty detection C Campbell, K Bennett Advances in neural information processing systems 13, 2000	300	2000
Dynamically adapting kernels in support vector machines N Cristianini, C Campbell, J Shawe-Taylor Advances in neural information processing systems 11, 1998	268	1998
N= 2, D= 10 non-chiral supergravity and its spontaneous compactification ICG Campbell, PC West Nuclear Physics B 243 (1), 112-124, 1984	256	1984
Bayesian automatic relevance determination algorithms for classifying gene expression data Y Li, C Campbell, M Tipping Bioinformatics 18 (10), 1332-1339, 2002	234	2002
Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error CY Cheng, M Schache, MK Ikram, TL Young, JA Guggenheim, V Vitart, ... The American Journal of Human Genetics 93 (2), 264-277, 2013	187	2013
An introduction to kernel methods C Campbell Studies in Fuzziness and Soft Computing 66, 155-192, 2001	152	2001
Expression analysis onto microarrays of randomly selected cDNA clones highlights HOXB13 as a marker of human prostate cancer S Edwards, C Campbell, P Flohr, J Shipley, I Giddings, R Te-Poele, ... British journal of cancer 92 (2), 376-381, 2005	151	2005
Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009	140	2009
The latent process decomposition of cDNA microarray data sets S Rogers, M Girolami, C Campbell, R Breitling IEEE/ACM transactions on computational biology and bioinformatics 2 (2), 143-156, 2005	124	2005
Genome-wide screening for complete genetic loss in prostate cancer by comparative hybridization onto cDNA microarrays J Clark, S Edwards, A Feber, P Flohr, M John, I Giddings, S Crossland, ... Oncogene 22 (8), 1247-1252, 2003	119	2003

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