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 (ICPR, 1996)

Optimization Techniques on Pixel Neighborhood Graphs for Image Processing. - Vadim Mottl; Alexander Blinov; Andrey Kopylov; Alexey Kostin (GbRPR, 1997)

Variational methods in signal and image analysis. - Vadim Mottl; Alexander Blinov; Andrey Kopylov; Alexey Kostin; Ilya B. Muchnik (ICPR, 1998)

Edge-preserving in generalized smoothing of signals and images. - Vadim Mottl; Alexey Kostin; Andrey Kopylov (ICPR, 1998)

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 (ICPR, 2000)

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 (MLDM, 2001)

Support Object Classifiers with Rigid and Elastic Kernel Functions for Face Identification. - Vadim Mottl; Alexey Kostin; Josef Kittler (ICPR (4), 2002)

Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification. - Vadim Mottl; Andrey Kopylov; Alexey Kostin; Alexey Yermakov; Josef Kittler (ICPR (3), 2002)

Featureless Pattern Recognition in an Imaginary Hilbert Space. - Vadim Mottl; Oleg Seredin; Sergey D. Dvoenko; Casimir A. Kulikowski; Ilya B. Muchnik (ICPR (2), 2002)

Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms. - Vadim Mottl; Sergey D. Dvoenko; Andrey Kopylov (ICPR (1), 2004)

Principles of Multi-kernel Data Mining. - Vadim Mottl; Olga Krasotkina; Oleg Seredin; Ilya B. Muchnik (MLDM, 2005)

Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. - Vadim Mottl; Alexander Tatarchuk; Valentina Sulimova; Olga Krasotkina; Oleg Seredin (MCS, 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 (MCS, 2007)

Adaptive nonstationary regression analysis. - Olga Krasotkina; Vadim Mottl (ICPR, 2008)

Signature verification based on fusion of on-line and off-line kernels. - Vadim Mottl; Mikhail Lange; Valentina Sulimova; Alexey Yermakov (ICPR, 2008)

Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. - Alexander Tatarchuk; Vadim Mottl; Andrey Eliseyev; David Windridge (ICPR, 2008)

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 (ISBRA, 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 (MCS, 2009)

Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. - David Windridge; Norman Poh; Vadim Mottl; Alexander Tatarchuk; Andrey Eliseyev (MCS, 2009)

Selection of Subsets of Ordered Features in Machine Learning. - Oleg Seredin; Andrey Kopylov; Vadim Mottl (Trans. Mach. Learn. Data Min., 2009)

A Signal Processing Algorithm Based on Parametric Dynamic Programming. - Andrey Kopylov; Olga Krasotkina; Oleksandr Pryimak; Vadim Mottl (ICISP, 2010)

A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. - Alexander Tatarchuk; Eugene Urlov; Vadim Mottl; David Windridge (MCS, 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 (PRIB, 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 Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. - Maxim Panov; Alexander Tatarchuk; Vadim Mottl; David Windridge (MCS, 2011)

Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment. - Olga Krasotkina; Vadim Mottl; Pavel A. Turkov (PReMI, 2011)

Convex support and Relevance Vector Machines for selective multimodal pattern recognition. - Oleg Seredin; Vadim Mottl; Alexander Tatarchuk; Nikolay Razin; David Windridge (ICPR, 2012)

The Bayesian logistic regression in pattern recognition problems under concept drift. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (ICPR, 2012)

Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (MLDM, 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 (PRIB, 2012)

Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (PReMI, 2013)

Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs. - Elena Chernousova; Pavel Levdik; Alexander Tatarchuk; Vadim Mottl; David Windridge (ICPR, 2014)

Finding the Largest Hypercavity in a Linear Data Space. - Anna Gubareva; Valentina Sulimova; Oleg Seredin; Aleksandr Larin; Vadim Mottl (ICPR, 2014)

An Automatic Matching Procedure of Ultrasonic Railway Defectograms. - Anton Malenichev; Valentina Sulimova; Olga Krasotkina; Vadim Mottl; Anatoly Markov (MLDM, 2014)

Supervised Selective Kernel Fusion for Membrane Protein Prediction. - Alexander Tatarchuk; Valentina Sulimova; Ivan Yu. Torshin; Vadim Mottl; David Windridge (PRIB, 2014)

Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. - Olga Krasotkina; Oleg Seredin; Vadim Mottl (MCS, 2015)

A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. - Olga Krasotkina; Vadim Mottl (MLDM, 2015)

A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. - Olga Krasotkina; Vadim Mottl (MLDM, 2015)

Multi-class Classification in Big Data. - Anton Malenichev; Olga Krasotkina; Vadim Mottl; Oleg Seredin (AIST (Supplement), 2016)

Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. - Valentina Sulimova; Oleg Seredin; Vadim Mottl (IDP, 2016)

Feature Selection for Handling Concept Drift in the Data Stream Classification. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl; Alexey Sychugov (MLDM, 2016)

Sparse logistic regression with supervised selectivity for predictors selection in credit scoring. - Zhosan Yulia; Olga Krasotkina; Vadim Mottl (SoICT, 2016)

Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. - Vadim Mottl; Oleg Seredin; Olga Krasotkina (Braverman Readings in Machine Learning, 2017)

Potential Functions for Signals and Symbolic Sequences. - Valentina Sulimova; Vadim Mottl (Braverman Readings in Machine Learning, 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 (MLDM, 2017)

Constrained Regularized Regression Model Search in Large Sets of Regressors. - Olga Krasotkina; Michael Markov; Vadim Mottl; Ilya Pugach; Dmitry Babichev; Alexey Morozov (MLDM (2), 2018)

Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis. - Valentina Sulimova; Alexander Zhukov; Olga Krasotkina; Vadim Mottl; Anatoly Markov (MLDM (1), 2018)

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 (MLDM (1), 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 (MLDM (1), 2019)

Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. - Alexey Morozov; Brian Angulo; Vadim Mottl; Alexander Tatarchuk; Olga Krasotkina (ITCC, 2021)