A. Gammerman

发表

Support vector density estimation

J. Weston, A. Gammerman, M. O. Stitson, 1999 .

Ridge Regression Learning Algorithm in Dual Variables

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1998, ICML.

Support vector regression with ANOVA decomposition kernels

J. Weston, A. Gammerman, M. O. Stitson, 1999 .

On-line predictive linear regression

A. Gammerman, V. Vovk, I. Nouretdinov, 2005, math/0511522.

Learning by Transduction

Alexander Gammerman, Vladimir Vovk, Vladimir Vapnik, 1998, UAI.

A combined Bayes - maximum likelihood method for regression

Alexander Gammerman, Mark Herbster, Alexei Ya. Chervonenkis, 2001, Data Fusion and Perception.

Density Estimation using Support Vector Machines

Jason Weston, Alexander Gammerman, Vladimir Vovk, 1998 .

Statistical Applications in Genetics and Molecular Biology

A. Gammerman, V. Vovk, A. Chervonenkis, 2011 .

Algorithmic Learning in a Random World

G. Shafer, A. Gammerman, V. Vovk, 2005 .

Retrain or not retrain: Conformal test martingales for change-point detection pdf

Alexander Gammerman, Lars Carlsson, Vladimir Vovk, 2021, COPA.

Two New Kernel Least Squares Based Methods for Regression

A. Gammerman, S. Busuttil, Yuri Kalnishkan, 2006 .

Conformal calibration

A. Gammerman, V. Vovk, Zhiyuan Luo, 2020 .

Annals of Mathematics and Artificial Intelligence Criteria of efficiency for set-valued classification

A. Gammerman, V. Vovk, I. Nouretdinov, 2017 .

Transformer-based conformal predictors for paraphrase detection

A. Gammerman, K. Nguyen, Zhiyuan Luo, 2021, COPA.

Excape WP 1 . Conformal Predictors

A. Gammerman, V. Vovk, Zhiyuan Luo, 2015 .

A New Bioinformatics Tool for Prediction with Confidence

Alexander Gammerman, Nicholas Coldham, Martin Woodward, 2010, International Conference on Bioinformatics & Computational Biology.

Chapter 6 – Feature Selection

A. Gammerman, I. Nouretdinov, T. Bellotti, 2014 .

On-line predictive linear regression

A. Gammerman, V. Vovk, I. Nouretdinov, 2005, math/0511522.

Special Issue on Conformal and Probabilistic Prediction with Applications

Ralf Peeters, Vladimir Vovk, Alexander Gammerman, 2020, Neurocomputing.

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

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2002, International Conference on Machine Learning and Applications.

Special Issue Editorial: Kolmogorov Complexity

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 1999 .

Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications - Volume 9653

Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, 2016 .

Predicting Clinical Outcome in Patients Diagnosed with Synchronous Ovarian and Endometrial Cancer

A. Gammerman, Zhiyuan Luo, J. Whittaker, 2008, Clinical Cancer Research.

Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications

Alexander Gammerman, A. Gammerman, 2008 .

Hedging Predictions in Machine Learning: The Second Computer Journal Lecture

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2006, Comput. J..

Fast Rates in Statistical and Online Learning

A. Gammerman, V. Vovk, 2022 .

Conformal Prediction under Hypergraphical Models

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2013, AIAI.

Autoantibodies to MUC1 glycopeptides cannot be used as a screening assay for early detection of breast, ovarian, lung or pancreatic cancer

A. Gammerman, I. Jacobs, U. Menon, 2013, British Journal of Cancer.

Autoantibodies to aberrantly glycosylated MUC1 in early stage breast cancer are associated with a better prognosis

Sylvain Julien, Brian Burford, Michael Hollingsworth, 2011, Breast Cancer Research.

PlantProm: a database of plant promoter sequences

John M. Hancock, Alexander Gammerman, Victor V. Solovyev, 2003, Nucleic Acids Res..

Sequence alignment kernel for recognition of promoter regions

Alexander Gammerman, Leo Gordon, Alexey Ya. Chervonenkis, 2003, Bioinform..

Plant promoter prediction with confidence estimation

A. J. Gammerman, A. Gammerman, V. Solovyev, 2005, Nucleic acids research.

Early detection of ovarian cancer in samples pre-diagnosis using CA125 and MALDI-MS peaks.

Ilia Nouretdinov, Zhiyuan Luo, Brian Burford, 2011, Cancer genomics & proteomics.

Peptides generated ex vivo from serum proteins by tumor-specific exopeptidases are not useful biomarkers in ovarian cancer.

Ilia Nouretdinov, Zhiyuan Luo, Brian Burford, 2010, Clinical chemistry.

Measures of Complexity

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2015, Springer International Publishing.

Prospective gene expression analysis accurately subtypes acute leukaemia in children and establishes a commonality between hyperdiploidy and t(12;21) in acute lymphoblastic leukaemia

Zhiyuan Luo, Vaskar Saha, Tony Bellotti, 2005, British journal of haematology.

Normalized nonconformity measures for regression Conformal Prediction

Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman, 2008 .

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2011, NeuroImage.

Reliable diagnosis of acute abdominal pain with conformal prediction

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2009 .

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

Harris Papadopoulos, Alexander Gammerman, Ilia Nouretdinov, 2012, AIAI.

Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis

Harris Papadopoulos, Marios S. Pattichis, Alexander Gammerman, 2012, Int. J. Artif. Intell. Tools.

Regression Conformal Prediction with Nearest Neighbours

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2014, J. Artif. Intell. Res..

Reliable Confidence Measures for Medical Diagnosis With Evolutionary Algorithms

Harris Papadopoulos, Alexander Gammerman, Antonis Lambrou, 2011, IEEE Transactions on Information Technology in Biomedicine.

Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction

Harris Papadopoulos, Marios S. Pattichis, Alexander Gammerman, 2010, AIAI.

Hedging predictions in machine learning pdf

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2006, ArXiv.

Alexey Chervonenkis's bibliography

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2015, J. Mach. Learn. Res..

Criteria of Efficiency for Conformal Prediction pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2016, COPA.

Preanalytic influence of sample handling on SELDI-TOF serum protein profiles.

Zhiyuan Luo, John F Timms, Davy T'Jampens, 2007, Clinical chemistry.

Computationally efficient versions of conformal predictive distributions pdf

Vladimir Vovk, Ilia Nouretdinov, Ivan Petej, 2019, Neurocomputing.

Inductive Conformal Martingales for Change-Point Detection

Alexander Gammerman, Vladimir Vovk, Evgeny Burnaev, 2017, COPA.

Inductive Confidence Machines for Regression

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2002, ECML.

Highly Accurate Detection of Ovarian Cancer Using CA125 but Limited Improvement With Serum Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Profiling

Ilia Nouretdinov, Zhiyuan Luo, Brian Burford, 2010, International Journal of Gynecologic Cancer.

Protected probabilistic classification

Vladimir Vovk, Ivan Petej, Alex Gammerman, 2021, COPA.

Adaptive calibration for binary classification pdf

Vladimir Vovk, Ivan Petej, Alex Gammerman, 2021, ArXiv.

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, Comput. J..

Valid predictions with confidence estimation in an air pollution problem

Alexander Gammerman, Ilia Nouretdinov, Olga Ivina, 2012, Progress in Artificial Intelligence.

Plug-in martingales for testing exchangeability on-line pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2012, ICML.

Cross-conformal predictive distributions

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2018, COPA.

Improving the aggregating algorithm for regression

Alexander Gammerman, Yuri Kalnishkan, Steven Busuttil, 2007, Artificial Intelligence and Applications.

Conformal predictive distributions with kernels pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2017, Braverman Readings in Machine Learning.

Machine-Learning Applications of Algorithmic Randomness

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1999, ICML.

Conformal prediction of biological activity of chemical compounds

Alexander Gammerman, Ilia Nouretdinov, Paolo Toccaceli, 2017, Annals of Mathematics and Artificial Intelligence.

Conformal Predictors for Compound Activity Prediction pdf

Alexander Gammerman, Ilia Nouretdinov, Paolo Toccaceli, 2016, COPA.

Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel

Alexander Gammerman, Leo Gordon, Alexey Ya. Chervonenkis, 2003, IDA.

Statistical Learning and Data Sciences

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2015, Lecture Notes in Computer Science.

Alexey Chervonenkis's bibliography: introductory comments

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2015, J. Mach. Learn. Res..

Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy

Alexander Gammerman, James Smith, Ilia Nouretdinov, 2015, SLDS.

Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction

Alexander Gammerman, James Smith, Ilia Nouretdinov, 2014, AIAI Workshops.

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

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2001, COLT/EuroCOLT.

CLRC—TR—08—02 Analysis of serial UKCTOCS-OC data: discriminating abilities of proteomics peaks

Alexander Gammerman, Ilia Nouretdinov, Alexey Ya. Chervonenkis, 2008 .

Cancer informatics by prototype networks in mass spectrometry

Thomas Villmann, Frank-Michael Schleif, Barbara Hammer, 2009, Artif. Intell. Medicine.

Conformal calibrators

Alexander Gammerman, Vladimir Vovk, Paolo Toccaceli, 2019, COPA.

Guest editors’ preface to the special issue on conformal prediction and its applications

A. Gammerman, V. Vovk, H. Papadopoulos, 2015, Annals of Mathematics and Artificial Intelligence.

Calibrated probabilistic predictions for biomedical applications

Harris Papadopoulos, Alexander Gammerman, Antonis Lambrou, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Confidence Predictions for the Diagnosis of Acute Abdominal Pain

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2009, AIAI.

Prediction algorithms and confidence measures based on algorithmic randomness theory

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2002, Theor. Comput. Sci..

Transductive Confidence Machines for Pattern Recognition

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2002, ECML.

Criteria of efficiency for set-valued classification

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2017, Annals of Mathematics and Artificial Intelligence.

Hypergraphical Conformal Predictors

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2015, Int. J. Artif. Intell. Tools.

Conditional Prediction Intervals for Linear Regression

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, 2009 International Conference on Machine Learning and Applications.

Conformal testing: binary case with Markov alternatives pdf

Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman, 2021, ArXiv.

7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands

Ralf Peeters, Alexander Gammerman, Vladimir Vovk, 2018, International Symposium on Conformal and Probabilistic Prediction with Applications.

Gene expression profiling in childhood acute leukaemia; a useful classification tool and a first promising insight into drug resistance.

Alexander Gammerman, Vaskar Saha, Tony Bellotti, 2003 .

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

Alexander Gammerman, Zhiyuan Luo, Tony Bellotti, 2006, 2006 IEEE International Conference on Granular Computing.

Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines

Alexander Gammerman, Zhiyuan Luo, Vaskar Saha, 2005, Int. J. Neural Syst..

Testing Exchangeability On-Line

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2003, ICML.

Application of Support Vector Machines to Fault Diagnosis and Automated Repair

A. Gammerman, H. Brown, C. Saunders, 2000 .

Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs

Harris Papadopoulos, Alexander Gammerman, Antonis Lambrou, 2013, AIAI.

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

Alexander Gammerman, Ilia Nouretdinov, Chenzhe Zhou, 2011, EANN/AIAI.

Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series pdf

Jaakko Astola, Alexander Gammerman, Boris Ryabko, 2005, Theor. Comput. Sci..

Transduction with Confidence and Credibility

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1999, IJCAI.

Conformal Prediction with Neural Networks

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Combination of inductive mondrian conformal predictors

A. Gammerman, Paolo Toccaceli, 2018, Machine Learning.

Combination of Conformal Predictors for Classification

Alexander Gammerman, Paolo Toccaceli, A. Gammerman, 2017, COPA.

Inductive Confidence Machines for Regression

A. Gammerman, V. Vovk, V. Vovk, 2002, ECML.

Conformal predictors for reliable pattern recognition

A. Gammerman, A. Gammerman, 2019 .

Evolutionary Conformal Prediction for Breast Cancer Diagnosis

A. Gammerman, A. Gammerman, H. Papadopoulos, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Computational Learning and Probabilistic Reasoning

Alexander Gammerman, A. Gammerman, 1996 .

Conformal Clustering and Its Application to Botnet Traffic

Alexander Gammerman, Ilia Nouretdinov, Lorenzo Cavallaro, 2015, SLDS.

0191: Evaluation of Pre-Analytic Influence of Sample Collection/Handling Methodologies On Serum Proteome is Key in Biomarker Discovery and Assay Development

John F. Timms, Alexander Gammerman, Usha Menon, 2006, International Journal of Gynecologic Cancer.

Online Prediction of Ovarian Cancer pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, AIME.

Feature Selection by Conformal Predictor

Alexander Gammerman, Ilia Nouretdinov, Meng Yang, 2011, EANN/AIAI.

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

A. Gammerman, V. Vapnik, V. Vovk, 2011, NeuroImage.

A Conformal Approach for Distribution-free Prediction of Functional Data

Alexander Gammerman, Simone Vantini, Matteo Fontana, 2020, Functional and High-Dimensional Statistics and Related Fields.

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

Alexander Gammerman, Vladimir Vovk, Yuri Kalnishkan, 2004, UAI.