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Ilia 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
aka: Alexander Gammerman
aka: Volodya Vovk
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