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)

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)

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)

A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. - Alexander Tatarchuk; Eugene Urlov; Vadim Mottl; David Windridge (MCS, 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)

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

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)

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

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)

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)