Nello Cristianini

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John Shawe-TaylorUCLEmail confirmado em cs.ucl.ac.uk
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzEmail confirmado em soe.ucsc.edu
William Stafford NobleProfessor of Genome Sciences, University of WashingtonEmail confirmado em uw.edu
Matthew W. HahnDistinguished Professor of Biology and Computer Science, Indiana UniversityEmail confirmado em indiana.edu
Chris WatkinsProfessor in Computer Science, Royal HollowayEmail confirmado em rhul.ac.uk
Alex SmolaBoson AIEmail confirmado em smola.org
Stafford LightmanProfessor of Medicine, University of Bristol,UKEmail confirmado em bristol.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
John C. PlattGoogleEmail confirmado em google.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail confirmado em tuebingen.mpg.de
James LadymanProfessor of Philosophy, University of BristolEmail confirmado em bristol.ac.uk
Chris WilliamsProfessor of Machine Learning, University of EdinburghEmail confirmado em inf.ed.ac.uk
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityEmail confirmado em cs.cornell.edu

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Nello Cristianini

University of Bath

Email confirmado em bath.ac.uk

Artificial Intelligence Machine Learning Philosophy of Artificial Intelligence Computational Social Science


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
An introduction to support vector machines and other kernel-based learning methods N Cristianini, J Shawe-Taylor Cambridge university press, 2000	25429	2000
Kernel methods for pattern analysis J Shawe-Taylor, N Cristianini Cambridge university press, 2004	9552	2004
Support vector machine classification and validation of cancer tissue samples using microarray expression data TS Furey, N Cristianini, N Duffy, DW Bednarski, M Schummer, D Haussler Bioinformatics 16 (10), 906-914, 2000	3377	2000
Knowledge-based analysis of microarray gene expression data by using support vector machines MPS Brown, WN Grundy, D Lin, N Cristianini, CW Sugnet, TS Furey, ... Proceedings of the National Academy of Sciences 97 (1), 262-267, 2000	3265	2000
Learning the kernel matrix with semidefinite programming GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan Journal of Machine learning research 5 (Jan), 27-72, 2004	3173	2004
Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999	2936	1999
Text classification using string kernels H Lodhi, C Saunders, J Shawe-Taylor, N Cristianini, C Watkins Journal of machine learning research 2 (Feb), 419-444, 2002	2088	2002
On kernel-target alignment N Cristianini, J Shawe-Taylor, A Elisseeff, J Kandola Advances in neural information processing systems 14, 2001	1470	2001
CAFE: a computational tool for the study of gene family evolution T De Bie, N Cristianini, JP Demuth, MW Hahn Bioinformatics 22 (10), 1269-1271, 2006	1455	2006
Controlling the sensitivity of support vector machines K Veropoulos, C Campbell, N Cristianini Proceedings of the international joint conference on AI 55, 60, 1999	1131	1999
A statistical framework for genomic data fusion GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble Bioinformatics 20 (16), 2626-2635, 2004	918	2004
Fast kernel classifiers with online and active learning A Bordes, S Ertekin, J Weston, L Bottou Journal of machine learning research 6 (Sep), 1579-1619, 2005	890	2005
Support Vector Machines and other kernel-based learning methods N Cristianini, J Shawe-Taylor Cambridge, 2004	787	2004
Query learning with large margin classifiers C Campbell, N Cristianini, A Smola ICML 20 (0), 0, 2000	538	2000
Tracking the flu pandemic by monitoring the social web V Lampos, N Cristianini 2010 2nd international workshop on cognitive information processing, 411-416, 2010	506	2010
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	503	1998
Kernel-based data fusion and its application to protein function prediction in yeast GRG Lanckriet, M Deng, N Cristianini, MI Jordan, WS Noble Biocomputing 2004, 300-311, 2003	439	2003
Latent semantic kernels N Cristianini, J Shawe-Taylor, H Lodhi Journal of Intelligent Information Systems 18, 127-152, 2002	413	2002
The evolution of mammalian gene families JP Demuth, TD Bie, JE Stajich, N Cristianini, MW Hahn PloS one 1 (1), e85, 2006	398	2006
Support vector machines and kernel methods: the new generation of learning machines N Cristianini, B Scholkopf Ai Magazine 23 (3), 31-31, 2002	349	2002

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