Vadim Mottl - RankMe

51 papers B 11C 1Journal 2Unranked 37

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. ITCC Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina
2019	—	`conf`	Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization. MLDM (1) Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk
2019	—	`conf`	Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. MLDM (1) Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge
2018	—	`conf`	Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis. MLDM (1) Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
2018	—	`conf`	Constrained Regularized Regression Model Search in Large Sets of Regressors. MLDM (2) Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov
2017	—	`conf`	Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. Braverman Readings in Machine Learning Vadim Mottl, Oleg Seredin, Olga Krasotkina
2017	—	`conf`	Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. MLDM Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov
2017	—	`conf`	Potential Functions for Signals and Symbolic Sequences. Braverman Readings in Machine Learning Valentina Sulimova, Vadim Mottl
2016	—	`conf`	Feature Selection for Handling Concept Drift in the Data Stream Classification. MLDM Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov
2016	—	`conf`	Multi-class Classification in Big Data. AIST (Supplement) Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin
2016	—	`conf`	Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. IDP Valentina Sulimova, Oleg Seredin, Vadim Mottl
2016	—	`conf`	Sparse logistic regression with supervised selectivity for predictors selection in credit scoring. SoICT Zhosan Yulia, Olga Krasotkina, Vadim Mottl
2015	—	`conf`	A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. MLDM Olga Krasotkina, Vadim Mottl
2015	—	`conf`	A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. MLDM Olga Krasotkina, Vadim Mottl
2015	—	`conf`	Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. MCS Olga Krasotkina, Oleg Seredin, Vadim Mottl
2014	—	`conf`	An Automatic Matching Procedure of Ultrasonic Railway Defectograms. MLDM Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov
2014	B	`conf`	Finding the Largest Hypercavity in a Linear Data Space. ICPR Anna Gubareva, Valentina Sulimova, Oleg Seredin, Aleksandr Larin, Vadim Mottl
2014	B	`conf`	Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs. ICPR Elena Chernousova, Pavel Levdik, Alexander Tatarchuk, Vadim Mottl, David Windridge
2014	—	`conf`	Supervised Selective Kernel Fusion for Membrane Protein Prediction. PRIB Alexander Tatarchuk, Valentina Sulimova, Ivan Yu. Torshin, Vadim Mottl, David Windridge
2013	—	`conf`	Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift. PReMI Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2012	—	`conf`	Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin, Valentina Sulimova, Oleg Seredin, David Windridge
2012	—	`conf`	Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. MLDM Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2012	B	`conf`	Convex support and Relevance Vector Machines for selective multimodal pattern recognition. ICPR Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge
2012	B	`conf`	The Bayesian logistic regression in pattern recognition problems under concept drift. ICPR Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2011	—	`conf`	A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. MCS Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge
2011	—	`conf`	Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment. PReMI Olga Krasotkina, Vadim Mottl, Pavel A. Turkov
2010	—	`conf`	A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem. PRIB Valentina Sulimova, Nikolay Razin, Vadim Mottl, Ilya B. Muchnik, Casimir A. Kulikowski
2010	C	`conf`	A Signal Processing Algorithm Based on Parametric Dynamic Programming. ICISP Andrey Kopylov, Olga Krasotkina, Oleksandr Pryimak, Vadim Mottl
2010	—	`conf`	A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. MCS Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, David Windridge
2010	J	`jnl`	Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Trans. Inf. Forensics Secur. Norman Poh, David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
2009	—	`conf`	A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model. ISBRA Valentina Sulimova, Vadim Mottl, Boris G. Mirkin, Ilya B. Muchnik, Casimir A. Kulikowski
2009	—	`conf`	Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. MCS David Windridge, Norman Poh, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
2009	—	`conf`	Selection of Subsets of Ordered Features in Machine Learning. MLDM Oleg Seredin, Andrey Kopylov, Vadim Mottl
2009	J	`jnl`	Selection of Subsets of Ordered Features in Machine Learning. Trans. Mach. Learn. Data Min. Oleg Seredin, Andrey Kopylov, Vadim Mottl
2009	—	`conf`	Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. MCS Alexander Tatarchuk, Valentina Sulimova, David Windridge, Vadim Mottl, Mikhail Lange
2008	B	`conf`	Adaptive nonstationary regression analysis. ICPR Olga Krasotkina, Vadim Mottl
2008	B	`conf`	Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. ICPR Alexander Tatarchuk, Vadim Mottl, Andrey Eliseyev, David Windridge
2008	B	`conf`	Signature verification based on fusion of on-line and off-line kernels. ICPR Vadim Mottl, Mikhail Lange, Valentina Sulimova, Alexey Yermakov
2007	—	`conf`	Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. MCS Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
2007	—	`conf`	The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. MCS David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
2005	—	`conf`	Principles of Multi-kernel Data Mining. MLDM Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik
2004	—	`conf`	Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms. ICPR (1) Vadim Mottl, Sergey D. Dvoenko, Andrey Kopylov
2002	—	`conf`	Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification. ICPR (3) Vadim Mottl, Andrey Kopylov, Alexey Kostin, Alexey Yermakov, Josef Kittler
2002	—	`conf`	Featureless Pattern Recognition in an Imaginary Hilbert Space. ICPR (2) Vadim Mottl, Oleg Seredin, Sergey D. Dvoenko, Casimir A. Kulikowski, Ilya B. Muchnik
2002	—	`conf`	Support Object Classifiers with Rigid and Elastic Kernel Functions for Face Identification. ICPR (4) Vadim Mottl, Alexey Kostin, Josef Kittler
2001	—	`conf`	Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification. MLDM Vadim Mottl, Sergey D. Dvoenko, Oleg Seredin, Casimir A. Kulikowski, Ilya B. Muchnik
2000	B	`conf`	Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks. ICPR Vadim Mottl, Sergey D. Dvoenko, Vladimir Levyant, Ilya B. Muchnik
1998	B	`conf`	Edge-preserving in generalized smoothing of signals and images. ICPR Vadim Mottl, Alexey Kostin, Andrey Kopylov
1998	B	`conf`	Variational methods in signal and image analysis. ICPR Vadim Mottl, Alexander Blinov, Andrey Kopylov, Alexey Kostin, Ilya B. Muchnik
1997	—	`conf`	Optimization Techniques on Pixel Neighborhood Graphs for Image Processing. GbRPR Vadim Mottl, Alexander Blinov, Andrey Kopylov, Alexey Kostin
1996	B	`conf`	Hidden tree-like quasi-Markov model and generalized technique for a class of image processing problems. ICPR Vadim Mottl, Ilya B. Muchnik, Alexander Blinov, Andrey Kopylov