| Algorithmic learning in a random world V Vovk, A Gammerman, G Shafer Springer, 2005 | 1873 | 2005 |
| Ridge regression learning algorithm in dual variables C Saunders, A Gammerman, V Vovk | 1109 | 1998 |
| Inductive confidence machines for regression H Papadopoulos, K Proedrou, V Vovk, A Gammerman Machine learning: ECML 2002: 13th European conference on machine learning …, 2002 | 437 | 2002 |
| PlantProm: a database of plant promoter sequences IA Shahmuradov, AJ Gammerman, JM Hancock, PM Bramley, ... Nucleic acids research 31 (1), 114-117, 2003 | 354 | 2003 |
| Machine-learning applications of algorithmic randomness V Vovk, A Gammerman, C Saunders | 285 | 1999 |
| Transduction with confidence and credibility C Saunders, A Gammerman, V Vovk | 248 | 1999 |
| Autoantibodies to aberrantly glycosylated MUC1 in early stage breast cancer are associated with a better prognosis O Blixt, D Bueti, B Burford, D Allen, S Julien, M Hollingsworth, ... Breast Cancer Research 13, 1-16, 2011 | 224 | 2011 |
| Transductive confidence machines for pattern recognition K Proedrou, I Nouretdinov, V Vovk, A Gammerman Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002 | 213 | 2002 |
| Machine learning classification with confidence: application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression I Nouretdinov, SG Costafreda, A Gammerman, A Chervonenkis, V Vovk, ... Neuroimage 56 (2), 809-813, 2011 | 206 | 2011 |
| Hedging predictions in machine learning A Gammerman, V Vovk The Computer Journal 50 (2), 151-163, 2007 | 194 | 2007 |
| Regression conformal prediction with nearest neighbours H Papadopoulos, V Vovk, A Gammerman Journal of Artificial Intelligence Research 40, 815-840, 2011 | 178 | 2011 |
| Sequence alignment kernel for recognition of promoter regions L Gordon, AY Chervonenkis, AJ Gammerman, IA Shahmuradov, ... bioinformatics 19 (15), 1964-1971, 2003 | 174 | 2003 |
| Theory of support vector machines MO Stitson, JAE Weston, A Gammerman, V Vovk, V Vapnik University of London 117 (827), 188-191, 1996 | 174 | 1996 |
| Preanalytic influence of sample handling on SELDI-TOF serum protein profiles JF Timms, E Arslan-Low, A Gentry-Maharaj, Z Luo, D T’Jampens, ... Clinical chemistry 53 (4), 645-656, 2007 | 172 | 2007 |
| Support vector regression with ANOVA decomposition kernels M Stitson, A Gammerman, V Vapnik, V Vovk, C Watkins, J Weston Advances in kernel methods—Support vector learning, 285-292, 1999 | 170 | 1999 |
| Plant promoter prediction with confidence estimation IA Shahmuradov, VV Solovyev, AJ Gammerman Nucleic acids research 33 (3), 1069-1076, 2005 | 169 | 2005 |
| Support vector density estimation J Weston, A Gammerman, M Stitson, V Vapnik, V Vovk, C Watkins Advances in Kernel Methods—Support Vector Learning, 293-306, 1999 | 166 | 1999 |
| Criteria of efficiency for conformal prediction V Vovk, V Fedorova, I Nouretdinov, A Gammerman Conformal and Probabilistic Prediction with Applications: 5th International …, 2016 | 101 | 2016 |
| Testing exchangeability on-line V Vovk, I Nouretdinov, A Gammerman Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 101 | 2003 |
| On-line predictive linear regression V Vovk, I Nouretdinov, A Gammerman The Annals of Statistics, 1566-1590, 2009 | 99 | 2009 |
