| Support Vector Machines N Cristianini, J Shawe-Taylor Cambridge: Cambridge University Press, 2000 | 20460 | 2000 |
| The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 12579* | 2010 |
| Kernel methods for pattern analysis J Shawe-Taylor, N Cristianini Cambridge university press, 2004 | 8040 | 2004 |
| Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001 | 5150 | 2001 |
| Canonical correlation analysis: An overview with application to learning methods DR Hardoon, S Szedmak, J Shawe-Taylor Neural computation 16 (12), 2639-2664, 2004 | 2783 | 2004 |
| Large margin dags for multiclass classification. JC Platt, N Cristianini, J Shawe-Taylor nips 12, 547-553, 1999 | 2758 | 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 | 1777 | 2002 |
| Support vector method for novelty detection. B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt NIPS 12, 582-588, 1999 | 1519 | 1999 |
| On kernel target alignment N Cristianini, J Kandola, A Elisseeff, J Shawe-Taylor Innovations in Machine Learning, 205-256, 2006 | 1184 | 2006 |
| An introduction to support vector machines and other kernel-based learning methods N Christiane, J Shawe-Taylor University Press, 2003 | 1166 | 2003 |
| Intelligent data analysis M Berthold, DJ Hand Springer, 2003 | 823 | 2003 |
| Support vector machines J Shawe-Taylor, N Cristianini Cambridge university press, 2000 | 729 | 2000 |
| Structural risk minimization over data-dependent hierarchies J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony IEEE transactions on Information Theory 44 (5), 1926-1940, 1998 | 656 | 1998 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 646 | 2013 |
| Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46 (1), 225-254, 2002 | 524 | 2002 |
| Latent semantic kernels N Cristianini, J Shawe-Taylor, H Lodhi Journal of Intelligent Information Systems 18 (2), 127-152, 2002 | 402 | 2002 |
| Generalization performance of support vector machines and other pattern classifiers P Bartlett, J Shawe-Taylor Advances in Kernel methods—support vector learning, 43-54, 1999 | 394 | 1999 |
| Two view learning: SVM-2K, theory and practice J Farquhar, DR Hardoon, H Meng, J Shawe-Taylor, S Szedmak School of Electronics and Computer Science, University of Southampton …, 2005 | 346 | 2005 |
| Kernel-based learning of hierarchical multilabel classification models J Rousu, C Saunders, S Szedmak, J Shawe-Taylor Journal of Machine Learning Research 7, 1601-1626, 2006 | 323 | 2006 |
| Inferring a semantic representation of text via cross-language correlation analysis A Vinokourov, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 15, 1497-1504, 2002 | 297 | 2002 |
Nello CristianiniUniversity of BristolVerified email at bristol.ac.uk
