Vadim Mottl

According to our database, Vadim Mottl authored at least 50 papers between 1996 and 2021.

Collaborative distances:

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

2021

Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models.

Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina

Proceedings of the ITCC 2021: 3rd International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23, 2021

2019

Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images.

Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization.

Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018

Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis.

Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Constrained Regularized Regression Model Search in Large Sets of Regressors.

Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios.

Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Potential Functions for Signals and Symbolic Sequences.

Valentina Sulimova, Vadim Mottl

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

Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning.

Vadim Mottl, Oleg Seredin, Olga Krasotkina

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

2016

Sparse logistic regression with supervised selectivity for predictors selection in credit scoring.

Zhosan Yulia, Olga Krasotkina, Vadim Mottl

Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

Feature Selection for Handling Concept Drift in the Data Stream Classification.

Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences.

Valentina Sulimova, Oleg Seredin, Vadim Mottl

Proceedings of the Intelligent Data Processing, 11th International Conference, 2016

Multi-class Classification in Big Data.

Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin

Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015

A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis.

Olga Krasotkina, Vadim Mottl

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization.

Olga Krasotkina, Vadim Mottl

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation.

Olga Krasotkina, Oleg Seredin, Vadim Mottl

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014

Supervised Selective Kernel Fusion for Membrane Protein Prediction.

Alexander Tatarchuk, Valentina Sulimova, Ivan Yu. Torshin, Vadim Mottl, David Windridge

Proceedings of the Pattern Recognition in Bioinformatics, 2014

An Automatic Matching Procedure of Ultrasonic Railway Defectograms.

Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Finding the Largest Hypercavity in a Linear Data Space.

Anna Gubareva, Valentina Sulimova, Oleg Seredin, Aleksandr Larin, Vadim Mottl

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs.

Elena Chernousova, Pavel Levdik, Alexander Tatarchuk, Vadim Mottl, David Windridge

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift.

Pavel A. Turkov, Olga Krasotkina, Vadim Mottl

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012

Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction.

Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin, Valentina Sulimova, Oleg Seredin, David Windridge

Proceedings of the Pattern Recognition in Bioinformatics, 2012

Bayesian Approach to the Concept Drift in the Pattern Recognition Problems.

Pavel A. Turkov, Olga Krasotkina, Vadim Mottl

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

The Bayesian logistic regression in pattern recognition problems under concept drift.

Pavel A. Turkov, Olga Krasotkina, Vadim Mottl

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Convex support and Relevance Vector Machines for selective multimodal pattern recognition.

Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment.

Olga Krasotkina, Vadim Mottl, Pavel A. Turkov

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets.

Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2010

Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution.

Norman Poh, David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev

IEEE Trans. Inf. Forensics Secur., 2010

A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem.

Valentina Sulimova, Nikolay Razin, Vadim Mottl, Ilya B. Muchnik, Casimir A. Kulikowski

Proceedings of the Pattern Recognition in Bioinformatics, 2010

A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities.

Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, David Windridge

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

A Signal Processing Algorithm Based on Parametric Dynamic Programming.

Andrey Kopylov, Olga Krasotkina, Oleksandr Pryimak, Vadim Mottl

Proceedings of the Image and Signal Processing, 4th International Conference, 2010

2009

Selection of Subsets of Ordered Features in Machine Learning.

Oleg Seredin, Andrey Kopylov, Vadim Mottl

Trans. Mach. Learn. Data Min., 2009

Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method.

David Windridge, Norman Poh, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels.

Alexander Tatarchuk, Valentina Sulimova, David Windridge, Vadim Mottl, Mikhail Lange

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model.

Valentina Sulimova, Vadim Mottl, Boris G. Mirkin, Ilya B. Muchnik, Casimir A. Kulikowski

Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

2008

Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines.

Alexander Tatarchuk, Vadim Mottl, Andrey Eliseyev, David Windridge

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Signature verification based on fusion of on-line and off-line kernels.

Vadim Mottl, Mikhail Lange, Valentina Sulimova, Alexey Yermakov

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Adaptive nonstationary regression analysis.

Olga Krasotkina, Vadim Mottl

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition.

David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion.

Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2005

Principles of Multi-kernel Data Mining.

Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

2004

Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms.

Vadim Mottl, Sergey D. Dvoenko, Andrey Kopylov

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002

Featureless Pattern Recognition in an Imaginary Hilbert Space.

Vadim Mottl, Oleg Seredin, Sergey D. Dvoenko, Casimir A. Kulikowski, Ilya B. Muchnik

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification.

Vadim Mottl, Andrey Kopylov, Alexey Kostin, Alexey Yermakov, Josef Kittler

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Support Object Classifiers with Rigid and Elastic Kernel Functions for Face Identification.

Vadim Mottl, Alexey Kostin, Josef Kittler

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification.

Vadim Mottl, Sergey D. Dvoenko, Oleg Seredin, Casimir A. Kulikowski, Ilya B. Muchnik

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

2000

Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks.

Vadim Mottl, Sergey D. Dvoenko, Vladimir Levyant, Ilya B. Muchnik

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

Edge-preserving in generalized smoothing of signals and images.

Vadim Mottl, Alexey Kostin, Andrey Kopylov

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Variational methods in signal and image analysis.

Vadim Mottl, Alexander Blinov, Andrey Kopylov, Alexey Kostin, Ilya B. Muchnik

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997

Optimization Techniques on Pixel Neighborhood Graphs for Image Processing.

Vadim Mottl, Alexander Blinov, Andrey Kopylov, Alexey Kostin

Proceedings of the Graph Based Representations in Pattern Recognition, 1997

1996

Hidden tree-like quasi-Markov model and generalized technique for a class of image processing problems.

Vadim Mottl, Ilya B. Muchnik, Alexander Blinov, Andrey Kopylov

Proceedings of the 13th International Conference on Pattern Recognition, 1996