| Support Vector Machines N Cristianini, J Shawe-Taylor Cambridge: Cambridge University Press, 2000 | 23058 | 2000 |
| Kernel Methods for Pattern Analysis J Shawe-Taylor Cambridge University Press google schola 2, 181-201, 2004 | 9472 | 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 | 7513 | 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 | 3915 | 2004 |
| Support vector method for novelty detection B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt Advances in neural information processing systems 12, 1999 | 3174 | 1999 |
| Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999 | 2940 | 1999 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural information processing: 20th international conference, ICONIP 2013 …, 2013 | 2216 | 2013 |
| 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 | 2077 | 2002 |
| On kernel-target alignment N Cristianini, J Shawe-Taylor, A Elisseeff, J Kandola Advances in neural information processing systems 14, 2001 | 1454 | 2001 |
| Support vector machines J Shawe-Taylor, N Cristianini Cambridge university press, 2000 | 842* | 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 | 746 | 1998 |
| Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46, 225-254, 2002 | 588 | 2002 |
| Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil Advances in neural information processing systems 31, 2018 | 530 | 2018 |
| 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 | 488 | 1999 |
| Two view learning: SVM-2K, theory and practice J Farquhar, D Hardoon, H Meng, J Shawe-Taylor, S Szedmak Advances in neural information processing systems 18, 2005 | 444 | 2005 |
| Latent semantic kernels N Cristianini, J Shawe-Taylor, H Lodhi Journal of Intelligent Information Systems 18, 127-152, 2002 | 413 | 2002 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006 | 375 | 2006 |
| 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 | 374 | 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, 2002 | 343 | 2002 |
| PAC-Bayes & margins J Langford, J Shawe-Taylor Advances in neural information processing systems 15, 2002 | 339 | 2002 |
Nello CristianiniUniversity of BathZweryfikowany adres z bath.ac.uk