| Transcend: Detecting concept drift in malware classification models R Jordaney, K Sharad, SK Dash, Z Wang, D Papini, I Nouretdinov, ... 26th USENIX security symposium (USENIX security 17), 625-642, 2017 | 354 | 2017 |
| 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 | 214 | 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 | 212 | 2011 |
| Ridge regression confidence machine I Nouretdinov, T Melluish, V Vovk ICML, 385-392, 2001 | 113 | 2001 |
| Comparing the Bayes and typicalness frameworks T Melluish, C Saunders, I Nouretdinov, V Vovk Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001 | 110 | 2001 |
| Criteria of efficiency for conformal prediction V Vovk, V Fedorova, I Nouretdinov, A Gammerman Conformal and Probabilistic Prediction with Applications: 5th International …, 2016 | 106 | 2016 |
| Testing exchangeability on-line V Vovk, I Nouretdinov, A Gammerman Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 106 | 2003 |
| On-line predictive linear regression V Vovk, I Nouretdinov, A Gammerman The Annals of Statistics, 1566-1590, 2009 | 104 | 2009 |
| Prediction with confidence based on a random forest classifier D Devetyarov, I Nouretdinov Artificial Intelligence Applications and Innovations: 6th IFIP WG 12.5 …, 2010 | 94 | 2010 |
| Plug-in martingales for testing exchangeability on-line V Fedorova, A Gammerman, I Nouretdinov, V Vovk arXiv preprint arXiv:1204.3251, 2012 | 88 | 2012 |
| Self-calibrating probability forecasting V Vovk, G Shafer, I Nouretdinov Advances in neural information processing systems 16, 2003 | 72 | 2003 |
| Cross-conformal predictive distributions V Vovk, I Nouretdinov, V Manokhin, A Gammerman conformal and probabilistic prediction and applications, 37-51, 2018 | 65 | 2018 |
| Inductive conformal martingales for change-point detection D Volkhonskiy, E Burnaev, I Nouretdinov, A Gammerman, V Vovk Conformal and Probabilistic Prediction and Applications, 132-153, 2017 | 59 | 2017 |
| Pattern recognition and density estimation under the general iid assumption I Nouretdinov, V Vovk, M Vyugin, A Gammerman Computational Learning Theory: 14th Annual Conference on Computational …, 2001 | 56 | 2001 |
| Reliable probability estimates based on support vector machines for large multiclass datasets A Lambrou, H Papadopoulos, I Nouretdinov, A Gammerman Artificial Intelligence Applications and Innovations: AIAI 2012 …, 2012 | 53 | 2012 |
| Mondrian confidence machine V Vovk, D Lindsay, I Nouretdinov, A Gammerman Technical Report, 2003 | 50 | 2003 |
| Towards composable threat assessment for medical IoT (MIoT) S Darwish, I Nouretdinov, SD Wolthusen Procedia computer science 113, 627-632, 2017 | 49 | 2017 |
| Inductive venn prediction A Lambrou, I Nouretdinov, H Papadopoulos Annals of Mathematics and Artificial Intelligence 74, 181-201, 2015 | 45 | 2015 |
| Anomaly detection of trajectories with kernel density estimation by conformal prediction J Smith, I Nouretdinov, R Craddock, C Offer, A Gammerman Artificial Intelligence Applications and Innovations: AIAI 2014 Workshops …, 2014 | 40 | 2014 |
| Computationally efficient versions of conformal predictive distributions V Vovk, I Petej, I Nouretdinov, V Manokhin, A Gammerman Neurocomputing 397, 292-308, 2020 | 37 | 2020 |
