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ORCIDIlia Nouretdinov
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2020 – today
- 2023
[c57]Ilia Nouretdinov, James Gammerman:
Conformal Association Rule Mining (CARM): A novel technique for data error detection and probabilistic correction. COPA 2023: 267-286- [c56]Ilia Nouretdinov, Alex Gammerman:
The Venn-ABERS Testing for Change-Point Detection. COPA 2023: 367-368 - 2022
- [c55]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. COPA 2022: 207-218 - [c54]Ilia Nouretdinov:
On efficiency of Learning Under Privileged Information. COPA 2022: 239-252 - [c53]Ilia Nouretdinov, James Gammerman:
Prediction of Energy Consumption with Inductive Venn-Abers Predictive Distribution. COPA 2022: 307-309 - 2021
- [c52]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: conformal test martingales for change-point detection. COPA 2021: 191-210 - [c51]Ilia Nouretdinov, Vladimir Vovk, Alex Gammerman:
Conformal changepoint detection in continuous model situations. COPA 2021: 300-302 - [i10]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: Conformal test martingales for change-point detection. CoRR abs/2102.10439 (2021) - [i9]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. CoRR abs/2111.01885 (2021) - 2020
- [j13]Ilia Nouretdinov, James Gammerman, Matteo Fontana
, Daljit Rehal:
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. Neurocomputing 397: 279-291 (2020) - [j12]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Computationally efficient versions of conformal predictive distributions. Neurocomputing 397: 292-308 (2020) - [c50]Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman:
Conformal anomaly detection for visual reconstruction using gestalt principles. COPA 2020: 151-170
2010 – 2019
- 2019
- [p1]Salaheddin Darwish, Ilia Nouretdinov, Stephen D. Wolthusen:
Modelling the Privacy Impact of External Knowledge for Sensor Data in the Industrial Internet of Things. Security and Privacy Trends in the Industrial Internet of Thing 2019: 223-243 - [i8]Ilia Nouretdinov, James Gammerman, Matteo Fontana, Daljit Rehal:
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. CoRR abs/1910.08105 (2019) - [i7]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Computationally efficient versions of conformal predictive distributions. CoRR abs/1911.00941 (2019) - 2018
- [c49]Ilia Nouretdinov, Denis Volkhonskiy, Pitt Lim, Paolo Toccaceli, Alexander Gammerman:
Inductive Venn-Abers predictive distribution. COPA 2018: 15-36 - [c48]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Cross-conformal predictive distributions. COPA 2018: 37-51 - [c47]Salaheddin Darwish, Ilia Nouretdinov, Stephen D. Wolthusen:
A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. ICOST 2018: 146-157 - [c46]Ilia Nouretdinov, Salaheddin Darwish, Stephen D. Wolthusen:
Detection of Untrustworthy IoT Measurements Using Expert Knowledge of Their Joint Distribution. ICOST 2018: 310-316 - 2017
- [j11]Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman:
Criteria of efficiency for set-valued classification. Ann. Math. Artif. Intell. 81(1-2): 21-46 (2017) - [j10]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal prediction of biological activity of chemical compounds. Ann. Math. Artif. Intell. 81(1-2): 105-123 (2017) - [c45]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal Predictive Distributions with Kernels. Braverman Readings in Machine Learning 2017: 103-121 - [c44]Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk:
Inductive Conformal Martingales for Change-Point Detection. COPA 2017: 132-153 - [c43]Ilia Nouretdinov:
Reverse Conformal Approach for On-line Experimental Design. COPA 2017: 185-192 - [c42]Ilia Nouretdinov:
Improving Reliable Probabilistic Prediction by Using Additional Knowledge. COPA 2017: 193-200 - [c41]Salaheddin Darwish, Ilia Nouretdinov, Stephen D. Wolthusen:
Towards Composable Threat Assessment for Medical IoT (MIoT). EUSPN/ICTH 2017: 627-632 - [c40]Roberto Jordaney, Kumar Sharad, Santanu Kumar Dash, Zhi Wang, Davide Papini, Ilia Nouretdinov, Lorenzo Cavallaro:
Transcend: Detecting Concept Drift in Malware Classification Models. USENIX Security Symposium 2017: 625-642 - [i6]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal predictive distributions with kernels. CoRR abs/1710.08894 (2017) - 2016
- [c39]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman:
Criteria of Efficiency for Conformal Prediction. COPA 2016: 23-39 - [c38]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal Predictors for Compound Activity Prediction. COPA 2016: 51-66 - [c37]Giovanni Cherubin, Ilia Nouretdinov:
Hidden Markov Models with Confidence. COPA 2016: 128-144 - [c36]Ilia Nouretdinov:
Distributed Conformal Anomaly Detection. ICMLA 2016: 253-258 - [i5]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman:
Criteria of efficiency for conformal prediction. CoRR abs/1603.04416 (2016) - [i4]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal Predictors for Compound Activity Prediction. CoRR abs/1603.04506 (2016) - 2015
- [j9]Antonis Lambrou, Ilia Nouretdinov, Harris Papadopoulos:
Inductive Venn Prediction. Ann. Math. Artif. Intell. 74(1-2): 181-201 (2015) - [j8]Ilia Nouretdinov, Dmitry Devetyarov, Volodya Vovk, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Mike Waterfield, Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alex Gammerman:
Multiprobabilistic prediction in early medical diagnoses. Ann. Math. Artif. Intell. 74(1-2): 203-222 (2015) - [j7]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Hypergraphical Conformal Predictors. Int. J. Artif. Intell. Tools 24(6): 1560003:1-1560003:24 (2015) - [c35]Hua-zhen Wang, Xin Liu, Ilia Nouretdinov, Zhiyuan Luo:
A Comparison of Three Implementations of Multi-Label Conformal Prediction. SLDS 2015: 241-250 - [c34]James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman:
Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy. SLDS 2015: 281-290 - [c33]Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro:
Conformal Clustering and Its Application to Botnet Traffic. SLDS 2015: 313-322 - 2014
- [c32]Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman:
SVM Venn Machine with k-Means Clustering. AIAI Workshops 2014: 251-260 - [c31]James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman:
Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction. AIAI Workshops 2014: 271-280 - [c30]Ilia Nouretdinov:
Conformal Prediction under Probabilistic Input. AIAI Workshops 2014: 291-300 - 2013
- [c29]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. ICCSW 2013: 27-34 - [c28]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. AIAI 2013: 371-383 - [c27]Ilia Nouretdinov, Alexander Lebedev:
Defensive Forecast for Conformal Bounded Regression. AIAI 2013: 384-393 - [c26]Meng Yang, Ilia Nouretdinov, Zhiyuan Luo:
Learning by Conformal Predictors with Additional Information. AIAI 2013: 394-400 - 2012
- [j6]Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman:
Testing the Gauss linear assumption for on-line predictions. Prog. Artif. Intell. 1(3): 205-213 (2012) - [j5]Olga Ivina, Ilia Nouretdinov, Alex Gammerman:
Valid predictions with confidence estimation in an air pollution problem. Prog. Artif. Intell. 1(3): 235-243 (2012) - [j4]Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, John Sinclair, Usha Menon, Ian Jacobs, Alex Gammerman:
Conformal predictors in early diagnostics of ovarian and breast cancers. Prog. Artif. Intell. 1(3): 245-257 (2012) - [c25]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk:
Plug-in martingales for testing exchangeability on-line. ICML 2012 - [c24]Antonis Lambrou, Harris Papadopoulos, Ilia Nouretdinov, Alexander Gammerman:
Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. AIAI (2) 2012: 182-191 - [c23]Ilia Nouretdinov, Dmitry Devetyarov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, Ian Jacobs, Usha Menon, Alexander Gammerman:
Multiprobabilistic Venn Predictors with Logistic Regression. AIAI (2) 2012: 224-233 - [c22]Ilia Nouretdinov, Alex Gammerman, Yanjun Qi, Judith Klein-Seetharaman:
Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method. Pacific Symposium on Biocomputing 2012: 311-322 - [i3]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Plug-in martingales for testing exchangeability on-line. CoRR abs/1204.3251 (2012) - 2011
- [j3]Ilia Nouretdinov, Sergi G. Costafreda, Alexander Gammerman, Alexey Ya. Chervonenkis, Vladimir Vovk, Vladimir Vapnik, Cynthia H. Y. Fu:
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage 56(2): 809-813 (2011) - [c21]Meng Yang, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman:
Feature Selection by Conformal Predictor. EANN/AIAI (2) 2011: 439-448 - [c20]Dmitry Adamskiy, Ilia Nouretdinov, Andy Mitchell, Nick Coldham, Alex Gammerman:
Applying Conformal Prediction to the Bovine TB Diagnosing. EANN/AIAI (2) 2011: 449-454 - [c19]Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Dmitry Adamskiy, Luke Randell, Nicholas Coldham, Alex Gammerman:
A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs. EANN/AIAI (2) 2011: 483-490 - 2010
- [c18]Dmitry Devetyarov, Ilia Nouretdinov:
Prediction with Confidence Based on a Random Forest Classifier. AIAI 2010: 37-44 - [c17]Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo:
Application of Conformal Predictors to Tea Classification Based on Electronic Nose. AIAI 2010: 303-310
2000 – 2009
- 2009
- [j2]Alex Gammerman, Volodya Vovk, Brian Burford, Ilia Nouretdinov, Zhiyuan Luo, Alexey Ya. Chervonenkis, Mike Waterfield, Rainer Cramer, Paul Tempst, Josep Villanueva, Musarat Kabir, Stephane Camuzeaux, John Timms, Usha Menon, Ian Jacobs:
Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. Comput. J. 52(3): 326-333 (2009) - [c16]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online Prediction of Ovarian Cancer. AIME 2009: 375-379 - [c15]Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Confidence Machine and Its Application to Medical Diagnosis. BIOCOMP 2009: 448-454 - [c14]Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alex Gammerman:
Conditional Prediction Intervals for Linear Regression. ICMLA 2009: 131-138 - [c13]Ilia Nouretdinov, Brian Burford, Alex Gammerman:
Application of Inductive Confidence Machine to ICMLA Competition Data. ICMLA 2009: 435-438 - [i2]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online prediction of ovarian cancer. CoRR abs/0904.1579 (2009) - 2008
- [c12]Ilia Nouretdinov:
Offline Nearest Neighbour Transductive Confidence Machine. ICDM (Posters and Workshops) 2008: 16-24 - 2007
- [c11]Ilia Nouretdinov:
Subsets More Representative Than Random Ones. ICDM 2007: 15-20 - 2006
- [j1]Ilia Nouretdinov, Vladimir Vovk:
Criterion of calibration for transductive confidence machine with limited feedback. Theor. Comput. Sci. 364(1): 3-9 (2006) - 2005
- [c10]Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer:
Defensive Forecasting for Linear Protocols. ALT 2005: 459-473 - [i1]Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer:
Defensive forecasting for linear protocols. CoRR abs/cs/0506007 (2005) - 2003
- [b1]Ilia Nouretdinov:
Algorithmic theory of randomness and its applications. Royal Holloway, University of London, UK, 2003 - [c9]Ilia Nouretdinov, Vladimir Vovk:
Criterion of Calibration for Transductive Confidence Machine with Limited Feedback. ALT 2003: 259-267 - [c8]Ilia Nouretdinov, Vladimir V. V'yugin, Alex Gammerman:
Transductive Confidence Machine Is Universal. ALT 2003: 283-297 - [c7]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Testing Exchangeability On-Line. ICML 2003: 768-775 - [c6]Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov:
Self-calibrating Probability Forecasting. NIPS 2003: 1133-1140 - 2002
- [c5]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390 - [c4]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. AI&M 2002 - 2001
- [c3]Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman:
Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353 - [c2]Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk:
Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371 - [c1]Ilia Nouretdinov, Thomas Melluish, Volodya Vovk:
Ridge Regression Confidence Machine. ICML 2001: 385-392
Coauthor Index
Alex Gammerman
aka: Alexander Gammerman
aka: Alexander Gammerman
Vladimir Vovk
aka: Volodya Vovk
aka: Volodya Vovk
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