A Hybrid Approach to Deductive Uncertain Inference. - X. Liu; Alex J. Gammerman (Int. J. Man Mach. Stud., 1988)

STOSS - A Stochastic Simulation System for Bayesian Belief Networks. - Zhiyuan Luo 001; Alex Gammerman (IPMU, 1990)

Press - A Probabilistic Reasoning Expert System Shell. - Zhiyuan Luo 001; Alex Gammerman (ECSQARU, 1991)

The representation and manipulation of the algorithmic probability measure for problem solving. - Alexander Gammerman (Ann. Math. Artif. Intell., 1991)

Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. - Alexander Gammerman; Tony Bellotti (Data Compression Conference, 1992)

Ridge Regression Learning Algorithm in Dual Variables. - Craig Saunders; Alexander Gammerman; Volodya Vovk (ICML, 1998)

Learning by Transduction. - Alexander Gammerman; Volodya Vovk; Vladimir Vapnik (UAI, 1998)

Causal models and intelligent data management. - Alex Gammerman (Springer, 1999)

Machine-Learning Applications of Algorithmic Randomness. - Volodya Vovk; Alexander Gammerman; Craig Saunders (ICML, 1999)

Transduction with Confidence and Credibility. - Craig Saunders; Alex Gammerman; Volodya Vovk (IJCAI, 1999)

Kolmogorov Complexity: Sources, Theory and Applications. - Alexander Gammerman; Vladimir Vovk (Comput. J., 1999)

Complexity Approximation Principle. - Vladimir Vovk; Alexander Gammerman (Comput. J., 1999)

Computationally Efficient Transductive Machines. - Craig Saunders; Alex Gammerman; Volodya Vovk (ALT, 2000)

A combined Bayes - maximum likelihood method for regression. - Alexey Ya. Chervonenkis; Alex Gammerman; Mark Herbster (Data Fusion and Perception, 2001)

Pattern Recognition and Density Estimation under the General i.i.d. Assumption. - Ilia Nouretdinov; Volodya Vovk; Michael V. Vyugin; Alex Gammerman (COLT/EuroCOLT, 2001)

Inductive Confidence Machines for Regression. - Harris Papadopoulos; Kostas Proedrou; Volodya Vovk; Alex Gammerman (ECML, 2002)

Transductive Confidence Machines for Pattern Recognition. - Kostas Proedrou; Ilia Nouretdinov; Volodya Vovk; Alex Gammerman (ECML, 2002)

Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. - Harris Papadopoulos; Vladimir Vovk; Alex Gammerman (ICMLA, 2002)

Prediction algorithms and confidence measures based on algorithmic randomness theory. - Alex Gammerman; Volodya Vovk (Theor. Comput. Sci., 2002)

Transductive Confidence Machine Is Universal. - Ilia Nouretdinov; Vladimir V. V'yugin; Alex Gammerman (ALT, 2003)

Testing Exchangeability On-Line. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (ICML, 2003)

Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel. - Leo Gordon; Alexey Ya. Chervonenkis; Alex J. Gammerman; Ilham A. Shahmuradov; Victor V. Solovyev (IDA, 2003)

Sequence alignment kernel for recognition of promoter regions. - Leo Gordon; Alexey Ya. Chervonenkis; Alex J. Gammerman; Ilham A. Shahmuradov; Victor V. Solovyev (Bioinform., 2003)

PlantProm: a database of plant promoter sequences. - Ilham A. Shahmuradov; Alex J. Gammerman; John M. Hancock; Peter M. Bramley; Victor V. Solovyev (Nucleic Acids Res., 2003)

Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. - Zhiyuan Luo 001; Tony Bellotti; Alex Gammerman (IDEAL, 2004)

On-line Prediction with Kernels and the Complexity Approximation Principle. - Alex Gammerman; Yuri Kalnishkan; Vladimir Vovk (UAI, 2004)

Qualified Probabilistic Predictions Using Graphical Models. - Zhiyuan Luo 001; Alex Gammerman (ECSQARU, 2005)

Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. - Tony Bellotti; Zhiyuan Luo 001; Alex Gammerman; Frederick W. Van Delft; Vaskar Saha (Int. J. Neural Syst., 2005)

Reliable classification of childhood acute leukaemia from gene expression data using confidence machines. - Tony Bellotti; Zhiyuan Luo 001; Alex Gammerman (GrC, 2006)

Strangeness Minimisation Feature Selection with Confidence Machines. - Tony Bellotti; Zhiyuan Luo 001; Alex Gammerman (IDEAL, 2006)

Hedging predictions in machine learning - Alexander Gammerman; Vladimir Vovk (CoRR, 2006)

Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series. - Boris Ryabko; Jaakko Astola; Alex Gammerman (Theor. Comput. Sci., 2006)

Improving the aggregating algorithm for regression. - Steven Busuttil; Yuri Kalnishkan; Alex Gammerman (Artificial Intelligence and Applications, 2007)

Conformal Prediction with Neural Networks. - Harris Papadopoulos; Volodya Vovk; Alex Gammerman (ICTAI (2), 2007)

Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. - Alexander Gammerman; Vladimir Vovk (Comput. J., 2007)

Rejoinder Hedging Predictions in Machine Learning. - Alexander Gammerman; Vladimir Vovk (Comput. J., 2007)

Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets. - Boris Ryabko; Jaakko Astola; Alex Gammerman (IEEE Trans. Inf. Theory, 2008)

Online Prediction of Ovarian Cancer. - Fedor Zhdanov; Vladimir Vovk; Brian Burford; Dmitry Devetyarov; Ilia Nouretdinov; Alex Gammerman (AIME, 2009)

Confidence Machine and Its Application to Medical Diagnosis. - Dmitry Devetyarov; Ilia Nouretdinov; Alex Gammerman (BIOCOMP, 2009)

Conditional Prediction Intervals for Linear Regression. - Peter McCullagh; Vladimir Vovk; Ilia Nouretdinov; Dmitry Devetyarov; Alex Gammerman (ICMLA, 2009)

Application of Inductive Confidence Machine to ICMLA Competition Data. - Ilia Nouretdinov; Brian Burford; Alex Gammerman (ICMLA, 2009)

Confidence Predictions for the Diagnosis of Acute Abdominal Pain. - Harris Papadopoulos; Alex Gammerman; Volodya Vovk (AIAI, 2009)

Cancer informatics by prototype networks in mass spectrometry. - Frank-Michael Schleif; Thomas Villmann; Markus Kostrzewa; Barbara Hammer; Alexander Gammerman (Artif. Intell. Medicine, 2009)

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. - Alex Gammerman; Volodya Vovk; Brian Burford; Ilia Nouretdinov; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Mike Waterfield; Rainer Cramer; Paul Tempst; Josep Villanueva; Musarat Kabir; Stephane Camuzeaux; et al. (Comput. J., 2009)

A New Bioinformatics Tool for Prediction with Confidence. - Dmitry Devetyarov; Martin Woodward; Nicholas Coldham; Muna Anjum; Alexander Gammerman (BIOCOMP, 2010)

Modern Machine Learning Techniques and Their Applications to Medical Diagnostics. - Alexander Gammerman (AIAI, 2010)

Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. - Antonis Lambrou; Harris Papadopoulos; Efthyvoulos C. Kyriacou; Constantinos S. Pattichis; Marios S. Pattichis; Alexander Gammerman; Andrew Nicolaides (AIAI, 2010)

Application of Conformal Predictors to Tea Classification Based on Electronic Nose. - Ilia Nouretdinov; Guang Li 001; Alexander Gammerman; Zhiyuan Luo 001 (AIAI, 2010)

Prédictions contrôlées en apprentissage automatique. - Alex Gammerman; Vladimir Vovk (Monde des Util. Anal. Données, 2010)

Applying Conformal Prediction to the Bovine TB Diagnosing. - Dmitry Adamskiy; Ilia Nouretdinov; Andy Mitchell; Nick Coldham; Alex Gammerman (AIAI, 2011)

Feature Selection by Conformal Predictor. - Meng Yang 014; Ilia Nouretdinov; Zhiyuan Luo 001; Alex Gammerman (AIAI, 2011)

A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs. - Chenzhe Zhou; Ilia Nouretdinov; Zhiyuan Luo 001; Dmitry Adamskiy; Luke Randell; Nicholas Coldham; Alex Gammerman (AIAI, 2011)

Regression Conformal Prediction with Nearest Neighbours. - Harris Papadopoulos; Vladimir Vovk; Alex Gammerman (J. Artif. Intell. Res., 2011)

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. - Ilia Nouretdinov; Sergi G. Costafreda; Alexander Gammerman; Alexey Ya. Chervonenkis; Vladimir Vovk; Vladimir Vapnik; Cynthia H. Y. Fu (NeuroImage, 2011)

Reliable Confidence Measures for Medical Diagnosis With Evolutionary Algorithms. - Antonis Lambrou; Harris Papadopoulos; Alex Gammerman (IEEE Trans. Inf. Technol. Biomed., 2011)

Calibrated probabilistic predictions for biomedical applications. - Antonis Lambrou; Harris Papadopoulos; Alexander Gammerman (BIBE, 2012)

Plug-in martingales for testing exchangeability on-line. - Valentina Fedorova; Alex Gammerman; Ilia Nouretdinov; Volodya Vovk (ICML, 2012)

Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. - Antonis Lambrou; Harris Papadopoulos; Ilia Nouretdinov; Alexander Gammerman (AIAI (2), 2012)

Multiprobabilistic Venn Predictors with Logistic Regression. - Ilia Nouretdinov; Dmitry Devetyarov; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Volodya Vovk; Mike Waterfield; et al. (AIAI (2), 2012)

Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method. - Ilia Nouretdinov; Alex Gammerman; Yanjun Qi; Judith Klein-Seetharaman (Pacific Symposium on Biocomputing, 2012)

Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis. - Antonis Lambrou; Harris Papadopoulos; Efthyvoulos Kyriacou; Constantinos S. Pattichis; Marios S. Pattichis; Alexander Gammerman; Andrew Nicolaides (Int. J. Artif. Intell. Tools, 2012)

Conformal predictors in early diagnostics of ovarian and breast cancers. - Dmitry Devetyarov; Ilia Nouretdinov; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Volodya Vovk; Mike Waterfield; et al. (Prog. Artif. Intell., 2012)

Testing the Gauss linear assumption for on-line predictions. - Valentina Fedorova; Ilia Nouretdinov; Alex Gammerman (Prog. Artif. Intell., 2012)

Conformal predictors. - Alexander Gammerman (Prog. Artif. Intell., 2012)

Valid predictions with confidence estimation in an air pollution problem. - Olga Ivina; Ilia Nouretdinov; Alex Gammerman (Prog. Artif. Intell., 2012)

Conformal Prediction under Hypergraphical Models. - Valentina Fedorova; Alex Gammerman; Ilia Nouretdinov; Vladimir Vovk (ICCSW, 2013)

Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs. - Antonis Lambrou; Harris Papadopoulos; Alexander Gammerman (AIAI, 2013)

Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction. - James Smith 004; Ilia Nouretdinov; Rachel Craddock; Charles Offer; Alexander Gammerman (AIAI (Workshops), 2014)

SVM Venn Machine with k-Means Clustering. - Chenzhe Zhou; Ilia Nouretdinov; Zhiyuan Luo 001; Alex Gammerman (AIAI (Workshops), 2014)

Conformal Clustering and Its Application to Botnet Traffic. - Giovanni Cherubin; Ilia Nouretdinov; Alexander Gammerman; Roberto Jordaney; Zhi Wang; Davide Papini; Lorenzo Cavallaro (SLDS, 2015)

Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy. - James Smith 004; Ilia Nouretdinov; Rachel Craddock; Charles Offer; Alexander Gammerman (SLDS, 2015)

Multiprobabilistic prediction in early medical diagnoses. - Ilia Nouretdinov; Dmitry Devetyarov; Volodya Vovk; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Mike Waterfield; et al. (Ann. Math. Artif. Intell., 2015)

Guest editors' preface to the special issue on conformal prediction and its applications. - Harris Papadopoulos; Vladimir Vovk; Alexander Gammerman (Ann. Math. Artif. Intell., 2015)

Hypergraphical Conformal Predictors. - Valentina Fedorova; Alex Gammerman; Ilia Nouretdinov; Vladimir Vovk (Int. J. Artif. Intell. Tools, 2015)

Preface to this special issue. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Alexey Chervonenkis's bibliography: introductory comments. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Alexey Chervonenkis's bibliography. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Conformal Predictors for Compound Activity Prediction. - Paolo Toccaceli; Ilia Nouretdinov; Alexander Gammerman (COPA, 2016)

Criteria of Efficiency for Conformal Prediction. - Vladimir Vovk; Valentina Fedorova; Ilia Nouretdinov; Alexander Gammerman (COPA, 2016)

Conformal Predictive Distributions with Kernels. - Vladimir Vovk; Ilia Nouretdinov; Valery Manokhin; Alex Gammerman (Braverman Readings in Machine Learning, 2017)

Combination of Conformal Predictors for Classification. - Paolo Toccaceli; Alexander Gammerman (COPA, 2017)

Inductive Conformal Martingales for Change-Point Detection. - Denis Volkhonskiy; Evgeny Burnaev; Ilia Nouretdinov; Alexander Gammerman; Vladimir Vovk (COPA, 2017)

Foreword to this special issue: conformal and probabilistic prediction with applications. - Alexander Gammerman; Vladimir Vovk (Ann. Math. Artif. Intell., 2017)

Conformal prediction of biological activity of chemical compounds. - Paolo Toccaceli; Ilia Nouretdinov; Alexander Gammerman (Ann. Math. Artif. Intell., 2017)

Criteria of efficiency for set-valued classification. - Vladimir Vovk; Ilia Nouretdinov; Valentina Fedorova; Ivan Petej; Alex Gammerman (Ann. Math. Artif. Intell., 2017)

Inductive Venn-Abers predictive distribution. - Ilia Nouretdinov; Denis Volkhonskiy; Pitt Lim; Paolo Toccaceli; Alexander Gammerman (COPA, 2018)

Cross-conformal predictive distributions. - Vladimir Vovk; Ilia Nouretdinov; Valery Manokhin; Alexander Gammerman (COPA, 2018)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alex Gammerman (CoRR, 2019)

Conformal and probabilistic prediction with applications: editorial. - Alexander Gammerman; Vladimir Vovk; Henrik Boström; Lars Carlsson (Mach. Learn., 2019)

Combination of inductive mondrian conformal predictors. - Paolo Toccaceli; Alexander Gammerman (Mach. Learn., 2019)

Conformal anomaly detection for visual reconstruction using gestalt principles. - Ilia Nouretdinov; Alexander Balinsky; Alexander Gammerman (COPA, 2020)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alexander Gammerman; Ernst Ahlberg; Lars Carlsson (COPA, 2020)

Special Issue on Conformal and Probabilistic Prediction with Applications. - Alex Gammerman; Vladimir Vovk; Zhiyuan Luo 001; Evgueni N. Smirnov; Ralf Peeters (Neurocomputing, 2020)

Computationally efficient versions of conformal predictive distributions. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Valery Manokhin; Alexander Gammerman (Neurocomputing, 2020)

Transformer-based conformal predictors for paraphrase detection. - Patrizio Giovannotti; Alex Gammerman (COPA, 2021)

Conformal changepoint detection in continuous model situations. - Ilia Nouretdinov; Vladimir Vovk; Alex Gammerman (COPA, 2021)

Protected probabilistic classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (COPA, 2021)

Retrain or not retrain: conformal test martingales for change-point detection. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Ernst Ahlberg; Lars Carlsson; Alex Gammerman (COPA, 2021)

Adaptive calibration for binary classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (CoRR, 2021)

Conformal testing: binary case with Markov alternatives. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (COPA, 2022)

Special Issue on Conformal and Probabilistic Prediction with Applications: Preface. - Alexander Gammerman; Vladimir Vovk; Marco Cristani (Pattern Recognit., 2022)

The Venn-ABERS Testing for Change-Point Detection. - Ilia Nouretdinov; Alex Gammerman (COPA, 2023)

Calibrated Large Language Models for Binary Question Answering. - Patrizio Giovannotti; Alexander Gammerman (COPA, 2024)

Validity and efficiency of the conformal CUSUM procedure. - Vladimir Vovk; Ilia Nouretdinov; Alexander Gammerman (COPA, 2025)

Conformal e-testing. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (Pattern Recognit., 2025)