Alex Gammerman

According to our database, Alex Gammerman authored at least 102 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Venn-ABERS Testing for Change-Point Detection.

Ilia Nouretdinov, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Special Issue on Conformal and Probabilistic Prediction with Applications: Preface.

Alexander Gammerman, Vladimir Vovk, Marco Cristani

Pattern Recognit., 2022

Conformal testing: binary case with Markov alternatives.

Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021

Adaptive calibration for binary classification.

Vladimir Vovk, Ivan Petej, Alex Gammerman

CoRR, 2021

Retrain or not retrain: conformal test martingales for change-point detection.

Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Protected probabilistic classification.

Vladimir Vovk, Ivan Petej, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Conformal changepoint detection in continuous model situations.

Ilia Nouretdinov, Vladimir Vovk, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Transformer-based conformal predictors for paraphrase detection.

Patrizio Giovannotti, Alex Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020

Computationally efficient versions of conformal predictive distributions.

Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman

Neurocomputing, 2020

Special Issue on Conformal and Probabilistic Prediction with Applications.

Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters

Neurocomputing, 2020

Conformal calibrators.

Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Conformal anomaly detection for visual reconstruction using gestalt principles.

Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Combination of inductive mondrian conformal predictors.

Paolo Toccaceli, Alexander Gammerman

Mach. Learn., 2019

Conformal and probabilistic prediction with applications: editorial.

Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson

Mach. Learn., 2019

Conformal calibrators.

Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alex Gammerman

CoRR, 2019

2018

Cross-conformal predictive distributions.

Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Inductive Venn-Abers predictive distribution.

Ilia Nouretdinov, Denis Volkhonskiy, Pitt Lim, Paolo Toccaceli, Alexander Gammerman

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Criteria of efficiency for set-valued classification.

Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman

Ann. Math. Artif. Intell., 2017

Conformal prediction of biological activity of chemical compounds.

Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman

Ann. Math. Artif. Intell., 2017

Foreword to this special issue: conformal and probabilistic prediction with applications.

Alexander Gammerman, Vladimir Vovk

Ann. Math. Artif. Intell., 2017

Inductive Conformal Martingales for Change-Point Detection.

Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Combination of Conformal Predictors for Classification.

Paolo Toccaceli, Alexander Gammerman

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Conformal Predictive Distributions with Kernels.

Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman

Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016

Criteria of Efficiency for Conformal Prediction.

Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

Conformal Predictors for Compound Activity Prediction.

Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015

Alexey Chervonenkis's bibliography.

Alex Gammerman, Vladimir Vovk

J. Mach. Learn. Res., 2015

Alexey Chervonenkis's bibliography: introductory comments.

Alex Gammerman, Vladimir Vovk

J. Mach. Learn. Res., 2015

Preface to this special issue.

Alex Gammerman, Vladimir Vovk

J. Mach. Learn. Res., 2015

Hypergraphical Conformal Predictors.

Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk

Int. J. Artif. Intell. Tools, 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

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, Alexey Ya. Chervonenkis, Rachel Hallett, Mike Waterfield, Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alex Gammerman

Ann. Math. Artif. Intell., 2015

Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy.

James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Conformal Clustering and Its Application to Botnet Traffic.

Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

2014

SVM Venn Machine with k-Means Clustering.

Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction.

James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013

Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs.

Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Conformal Prediction under Hypergraphical Models.

Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012

Valid predictions with confidence estimation in an air pollution problem.

Olga Ivina, Ilia Nouretdinov, Alex Gammerman

Prog. Artif. Intell., 2012

Conformal predictors.

Alexander Gammerman

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 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, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, John Sinclair, Usha Menon, Ian Jacobs, Alex Gammerman

Prog. Artif. Intell., 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

Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method.

Ilia Nouretdinov, Alex Gammerman, Yanjun Qi, Judith Klein-Seetharaman

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 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, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, Ian Jacobs, Usha Menon, Alexander Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets.

Antonis Lambrou, Harris Papadopoulos, Ilia Nouretdinov, Alexander Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Plug-in martingales for testing exchangeability on-line.

Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk

Proceedings of the 29th International Conference on Machine Learning, 2012

Calibrated probabilistic predictions for biomedical applications.

Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011

Reliable Confidence Measures for Medical Diagnosis With Evolutionary Algorithms.

Antonis Lambrou, Harris Papadopoulos, Alex Gammerman

IEEE Trans. Inf. Technol. Biomed., 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

Regression Conformal Prediction with Nearest Neighbours.

Harris Papadopoulos, Vladimir Vovk, Alex Gammerman

J. Artif. Intell. Res., 2011

A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs.

Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Dmitry Adamskiy, Luke Randell, Nicholas Coldham, Alex Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Feature Selection by Conformal Predictor.

Meng Yang, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Applying Conformal Prediction to the Bovine TB Diagnosing.

Dmitry Adamskiy, Ilia Nouretdinov, Andy Mitchell, Nick Coldham, Alex Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

2010

Prédictions contrôlées en apprentissage automatique.

Alex Gammerman, Vladimir Vovk

Monde des Util. Anal. Données, 2010

Application of Conformal Predictors to Tea Classification Based on Electronic Nose.

Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo

Proceedings of the Artificial Intelligence Applications and Innovations, 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

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Modern Machine Learning Techniques and Their Applications to Medical Diagnostics.

Alexander Gammerman

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

A New Bioinformatics Tool for Prediction with Confidence.

Dmitry Devetyarov, Martin Woodward, Nicholas Coldham, Muna Anjum, Alexander Gammerman

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer.

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

Comput. J., 2009

Cancer informatics by prototype networks in mass spectrometry.

Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman

Artif. Intell. Medicine, 2009

Confidence Predictions for the Diagnosis of Acute Abdominal Pain.

Harris Papadopoulos, Alex Gammerman, Volodya Vovk

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Application of Inductive Confidence Machine to ICMLA Competition Data.

Ilia Nouretdinov, Brian Burford, Alex Gammerman

Proceedings of the International Conference on Machine Learning and Applications, 2009

Conditional Prediction Intervals for Linear Regression.

Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alex Gammerman

Proceedings of the International Conference on Machine Learning and Applications, 2009

Confidence Machine and Its Application to Medical Diagnosis.

Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

Online Prediction of Ovarian Cancer.

Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets.

Boris Ryabko, Jaakko Astola, Alex Gammerman

IEEE Trans. Inf. Theory, 2008

2007

<i>Rejoinder</i> Hedging Predictions in Machine Learning.

Alexander Gammerman, Vladimir Vovk

Comput. J., 2007

Hedging Predictions in Machine Learning: The Second <i>Computer Journal</i> Lecture.

Alexander Gammerman, Vladimir Vovk

Comput. J., 2007

Conformal Prediction with Neural Networks.

Harris Papadopoulos, Volodya Vovk, Alex Gammerman

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Improving the aggregating algorithm for regression.

Steven Busuttil, Yuri Kalnishkan, Alex Gammerman

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

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

Hedging predictions in machine learning

Alexander Gammerman, Vladimir Vovk

CoRR, 2006

Strangeness Minimisation Feature Selection with Confidence Machines.

Tony Bellotti, Zhiyuan Luo, Alex Gammerman

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Reliable classification of childhood acute leukaemia from gene expression data using confidence machines.

Tony Bellotti, Zhiyuan Luo, Alex Gammerman

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005

Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines.

Tony Bellotti, Zhiyuan Luo, Alex Gammerman, Frederick W. Van Delft, Vaskar Saha

Int. J. Neural Syst., 2005

Qualified Probabilistic Predictions Using Graphical Models.

Zhiyuan Luo, Alex Gammerman

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

On-line Prediction with Kernels and the Complexity Approximation Principle.

Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk

Proceedings of the UAI '04, 2004

Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines.

Zhiyuan Luo, Tony Bellotti, Alex Gammerman

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

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

Sequence alignment kernel for recognition of promoter regions.

Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev

Bioinform., 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

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Testing Exchangeability On-Line.

Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman

Proceedings of the Machine Learning, 2003

Transductive Confidence Machine Is Universal.

Ilia Nouretdinov, Vladimir V. V'yugin, Alex Gammerman

Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

2002

Prediction algorithms and confidence measures based on algorithmic randomness theory.

Alex Gammerman, Volodya Vovk

Theor. Comput. Sci., 2002

Qualified Prediction for Large Data Sets in the Case of Pattern Recognition.

Harris Papadopoulos, Vladimir Vovk, Alex Gammerman

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Transductive Confidence Machines for Pattern Recognition.

Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman

Proceedings of the Machine Learning: ECML 2002, 2002

Inductive Confidence Machines for Regression.

Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Pattern Recognition and Density Estimation under the General i.i.d. Assumption.

Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman

Proceedings of the Computational Learning Theory, 2001

A combined Bayes - maximum likelihood method for regression.

Alexey Ya. Chervonenkis, Alex Gammerman, Mark Herbster

Proceedings of the Data Fusion and Perception, 2001

2000

Computationally Efficient Transductive Machines.

Craig Saunders, Alex Gammerman, Volodya Vovk

Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999

Complexity Approximation Principle.

Vladimir Vovk, Alexander Gammerman

Comput. J., 1999

Kolmogorov Complexity: Sources, Theory and Applications.

Alexander Gammerman, Vladimir Vovk

Comput. J., 1999

Transduction with Confidence and Credibility.

Craig Saunders, Alex Gammerman, Volodya Vovk

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Machine-Learning Applications of Algorithmic Randomness.

Volodya Vovk, Alexander Gammerman, Craig Saunders

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Causal models and intelligent data management.

Alex Gammerman

Springer, ISBN: 978-3-540-66328-7, 1999

1998

Learning by Transduction.

Alexander Gammerman, Volodya Vovk, Vladimir Vapnik

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Ridge Regression Learning Algorithm in Dual Variables.

Craig Saunders, Alexander Gammerman, Volodya Vovk

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1992

Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems.

Alexander Gammerman, Tony Bellotti

Proceedings of the IEEE Data Compression Conference, 1992

1991

The representation and manipulation of the algorithmic probability measure for problem solving.

Alexander Gammerman

Ann. Math. Artif. Intell., 1991

Press - A Probabilistic Reasoning Expert System Shell.

Zhiyuan Luo, Alex Gammerman

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990

STOSS - A Stochastic Simulation System for Bayesian Belief Networks.

Zhiyuan Luo, Alex Gammerman

Proceedings of the Uncertainty in Knowledge Bases, 1990

1988

A Hybrid Approach to Deductive Uncertain Inference.

X. Liu, Alex J. Gammerman

Int. J. Man Mach. Stud., 1988