Alexander Gammerman

48 papers A* 2A 1B 1C 1Misc 4Journal 19Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Inaugural Lecture Machine Learning: Progress and Prospects. The Importance of Being Learnable Alexander Gammerman
2025	J	`jnl`	Machine Learning: Progress and Prospects. CoRR Alexander Gammerman
2025	—	`conf`	Validity and efficiency of the conformal CUSUM procedure. COPA Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman
2024	—	`conf`	Calibrated Large Language Models for Binary Question Answering. COPA Patrizio Giovannotti, Alexander Gammerman
2024	J	`jnl`	Calibrated Large Language Models for Binary Question Answering. CoRR Patrizio Giovannotti, Alexander Gammerman
2022	J	`jnl`	Special Issue on Conformal and Probabilistic Prediction with Applications: Preface. Pattern Recognit. Alexander Gammerman, Vladimir Vovk, Marco Cristani
2020	J	`jnl`	Computationally efficient versions of conformal predictive distributions. Neurocomputing Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman
2020	—	`ed.`	Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event COPA Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Giovanni Cherubin, Marco Christini
2020	—	`conf`	Conformal anomaly detection for visual reconstruction using gestalt principles. COPA Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman
2020	—	`conf`	Conformal calibrators. COPA Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson
2019	J	`jnl`	Combination of inductive mondrian conformal predictors. Mach. Learn. Paolo Toccaceli, Alexander Gammerman
2019	J	`jnl`	Conformal and probabilistic prediction with applications: editorial. Mach. Learn. Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson
2018	—	`conf`	Cross-conformal predictive distributions. COPA Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman
2018	—	`conf`	Inductive Venn-Abers predictive distribution. COPA Ilia Nouretdinov, Denis Volkhonskiy, Pitt Lim, Paolo Toccaceli, Alexander Gammerman
2017	—	`conf`	Combination of Conformal Predictors for Classification. COPA Paolo Toccaceli, Alexander Gammerman
2017	J	`jnl`	Conformal prediction of biological activity of chemical compounds. Ann. Math. Artif. Intell. Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
2017	J	`jnl`	Foreword to this special issue: conformal and probabilistic prediction with applications. Ann. Math. Artif. Intell. Alexander Gammerman, Vladimir Vovk
2017	—	`conf`	Inductive Conformal Martingales for Change-Point Detection. COPA Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk
2016	—	`conf`	Conformal Predictors for Compound Activity Prediction. COPA Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
2016	J	`jnl`	Conformal Predictors for Compound Activity Prediction. CoRR Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
2016	—	`ed.`	Conformal and Probabilistic Prediction with Applications - 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings COPA Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk
2016	—	`conf`	Criteria of Efficiency for Conformal Prediction. COPA Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman
2015	—	`conf`	Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy. SLDS James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman
2015	—	`conf`	Conformal Clustering and Its Application to Botnet Traffic. SLDS Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro
2015	J	`jnl`	Guest editors' preface to the special issue on conformal prediction and its applications. Ann. Math. Artif. Intell. Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman
2015	—	`ed.`	Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings SLDS Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos
2014	—	`conf`	Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction. AIAI (Workshops) James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman
2013	Misc	`conf`	Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs. AIAI Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman
2012	C	`conf`	Calibrated probabilistic predictions for biomedical applications. BIBE Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman
2012	J	`jnl`	Conformal predictors. Prog. Artif. Intell. Alexander Gammerman
2012	J	`jnl`	Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis. Int. J. Artif. Intell. Tools Antonis Lambrou, Harris Papadopoulos, Efthyvoulos Kyriacou, Constantinos S. Pattichis, Marios S. Pattichis, Alexander Gammerman, Andrew Nicolaides
2012	—	`conf`	Multiprobabilistic Venn Predictors with Logistic Regression. AIAI (2) 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
2012	—	`conf`	Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. AIAI (2) Antonis Lambrou, Harris Papadopoulos, Ilia Nouretdinov, Alexander Gammerman
2011	J	`jnl`	Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage Ilia Nouretdinov, Sergi G. Costafreda, Alexander Gammerman, Alexey Ya. Chervonenkis, Vladimir Vovk, Vladimir Vapnik, Cynthia H. Y. Fu
2010	—	`conf`	A New Bioinformatics Tool for Prediction with Confidence. BIOCOMP Dmitry Devetyarov, Martin Woodward, Nicholas Coldham, Muna Anjum, Alexander Gammerman
2010	Misc	`conf`	Application of Conformal Predictors to Tea Classification Based on Electronic Nose. AIAI Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo
2010	Misc	`conf`	Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. AIAI Antonis Lambrou, Harris Papadopoulos, Efthyvoulos C. Kyriacou, Constantinos S. Pattichis, Marios S. Pattichis, Alexander Gammerman, Andrew Nicolaides
2010	Misc	`conf`	Modern Machine Learning Techniques and Their Applications to Medical Diagnostics. AIAI Alexander Gammerman
2009	J	`jnl`	Cancer informatics by prototype networks in mass spectrometry. Artif. Intell. Medicine Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman
2007	J	`jnl`	Hedging Predictions in Machine Learning: The Second Comput. J. Alexander Gammerman, Vladimir Vovk
2006	J	`jnl`	Hedging predictions in machine learning CoRR Alexander Gammerman, Vladimir Vovk
1999	J	`jnl`	Complexity Approximation Principle. Comput. J. Vladimir Vovk, Alexander Gammerman
1999	J	`jnl`	Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. Alexander Gammerman, Vladimir Vovk
1999	A*	`conf`	Machine-Learning Applications of Algorithmic Randomness. ICML Volodya Vovk, Alexander Gammerman, Craig Saunders
1998	A	`conf`	Learning by Transduction. UAI Alexander Gammerman, Volodya Vovk, Vladimir Vapnik
1998	A*	`conf`	Ridge Regression Learning Algorithm in Dual Variables. ICML Craig Saunders, Alexander Gammerman, Volodya Vovk
1992	B	`conf`	Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. Data Compression Conference Alexander Gammerman, Tony Bellotti
1991	J	`jnl`	The representation and manipulation of the algorithmic probability measure for problem solving. Ann. Math. Artif. Intell. Alexander Gammerman