default search action
Vadim Mottl
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
- [c49]Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina:
Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. ITCC 2021: 47-56
2010 – 2019
- 2019
- [c48]Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge:
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. MLDM (1) 2019: 355-366 - [c47]Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk:
Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization. MLDM (1) 2019: 412-430 - 2018
- [c46]Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
:
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis. MLDM (1) 2018: 16-27 - [c45]Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev
Constrained Regularized Regression Model Search in Large Sets of Regressors. MLDM (2) 2018: 394-408 - 2017
- [c44]Valentina Sulimova, Vadim Mottl:
Potential Functions for Signals and Symbolic Sequences. Braverman Readings in Machine Learning 2017: 3-31 - [c43]Vadim Mottl, Oleg Seredin, Olga Krasotkina:
Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. Braverman Readings in Machine Learning 2017: 52-102 - [c42]Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov:
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. MLDM 2017: 431-450 - 2016
- [c41]Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin:
Multi-class Classification in Big Data. AIST (Supplement) 2016: 203-211 - [c40]Valentina Sulimova, Oleg Seredin, Vadim Mottl:
Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. IDP 2016: 61-73 - [c39]Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov:
Feature Selection for Handling Concept Drift in the Data Stream Classification. MLDM 2016: 614-629 - [c38]Zhosan Yulia, Olga Krasotkina, Vadim Mottl:
Sparse logistic regression with supervised selectivity for predictors selection in credit scoring. SoICT 2016: 167-172 - 2015
- [c37]Olga Krasotkina, Oleg Seredin
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. MCS 2015: 89-99 - [c36]Olga Krasotkina, Vadim Mottl:
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. MLDM 2015: 382-394 - [c35]Olga Krasotkina, Vadim Mottl:
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. MLDM 2015: 425-437 - 2014
- [c34]Elena Chernousova, Pavel Levdik, Alexander Tatarchuk, Vadim Mottl, David Windridge
Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs. ICPR 2014: 3654-3659 - [c33]Anna Gubareva, Valentina Sulimova, Oleg Seredin
Finding the Largest Hypercavity in a Linear Data Space. ICPR 2014: 4406-4410 - [c32]Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov
An Automatic Matching Procedure of Ultrasonic Railway Defectograms. MLDM 2014: 315-327 - [c31]Alexander Tatarchuk, Valentina Sulimova, Ivan Yu. Torshin
Supervised Selective Kernel Fusion for Membrane Protein Prediction. PRIB 2014: 98-109 - 2013
- [c30]Pavel A. Turkov, Olga Krasotkina, Vadim Mottl:
Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift. PReMI 2013: 190-195 - 2012
- [c29]Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge:
Convex support and Relevance Vector Machines for selective multimodal pattern recognition. ICPR 2012: 1647-1650 - [c28]Pavel A. Turkov, Olga Krasotkina, Vadim Mottl:
The Bayesian logistic regression in pattern recognition problems under concept drift. ICPR 2012: 2976-2979 - [c27]Pavel A. Turkov, Olga Krasotkina, Vadim Mottl:
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. MLDM 2012: 1-10 - [c26]Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin
Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB 2012: 153-165 - 2011
- [c25]Maxim Panov
A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. MCS 2011: 126-136 - [c24]Olga Krasotkina, Vadim Mottl, Pavel A. Turkov:
Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment. PReMI 2011: 24-29 - 2010
- [j2]Norman Poh, David Windridge
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Trans. Inf. Forensics Secur. 5(3): 461-469 (2010) - [c23]Andrey Kopylov
A Signal Processing Algorithm Based on Parametric Dynamic Programming. ICISP 2010: 280-286 - [c22]Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, David Windridge
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. MCS 2010: 165-174 - [c21]Valentina Sulimova, Nikolay Razin, Vadim Mottl, Ilya B. Muchnik, Casimir A. Kulikowski:
A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem. PRIB 2010: 171-182
2000 – 2009
- 2009
- [j1]Oleg Seredin, Andrey Kopylov, Vadim Mottl:
Selection of Subsets of Ordered Features in Machine Learning. Trans. Mach. Learn. Data Min. 2(2): 65-79 (2009) - [c20]Valentina Sulimova, Vadim Mottl, Boris G. Mirkin
A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model. ISBRA 2009: 284-296 - [c19]David Windridge
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. MCS 2009: 161-170 - [c18]Alexander Tatarchuk, Valentina Sulimova, David Windridge
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. MCS 2009: 324-334 - [c17]Oleg Seredin
Selection of Subsets of Ordered Features in Machine Learning. MLDM 2009: 16-28 - 2008
- [c16]Olga Krasotkina, Vadim Mottl:
Adaptive nonstationary regression analysis. ICPR 2008: 1-4 - [c15]Vadim Mottl, Mikhail Lange, Valentina Sulimova, Alexey Yermakov:
Signature verification based on fusion of on-line and off-line kernels. ICPR 2008: 1-4 - [c14]Alexander Tatarchuk, Vadim Mottl, Andrey Eliseyev
Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. ICPR 2008: 1-4 - 2007
- [c13]Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin:
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. MCS 2007: 1-12 - [c12]David Windridge
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. MCS 2007: 13-21 - 2005
- [c11]Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik:
Principles of Multi-kernel Data Mining. MLDM 2005: 52-61 - 2004
- [c10]Vadim Mottl, Sergey D. Dvoenko, Andrey Kopylov
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms. ICPR (1) 2004: 188-191 - 2002
- [c9]Vadim Mottl, Oleg Seredin, Sergey D. Dvoenko, Casimir A. Kulikowski, Ilya B. Muchnik:
Featureless Pattern Recognition in an Imaginary Hilbert Space. ICPR (2) 2002: 88-91 - [c8]Vadim Mottl, Alexey Kostin, Josef Kittler:
Support Object Classifiers with Rigid and Elastic Kernel Functions for Face Identification. ICPR (4) 2002: 205-208 - [c7]Vadim Mottl, Andrey Kopylov, Alexey Kostin, Alexey Yermakov, Josef Kittler:
Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification. ICPR (3) 2002: 549-552 - 2001
- [c6]Vadim Mottl, Sergey D. Dvoenko, Oleg Seredin
Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification. MLDM 2001: 322-336 - 2000
- [c5]Vadim Mottl, Sergey D. Dvoenko, Vladimir Levyant, Ilya B. Muchnik:
Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks. ICPR 2000: 2315-2318
1990 – 1999
- 1998
- [c4]Vadim Mottl, Alexander Blinov, Andrey Kopylov
Variational methods in signal and image analysis. ICPR 1998: 525-527 - [c3]Vadim Mottl, Alexey Kostin, Andrey Kopylov:
Edge-preserving in generalized smoothing of signals and images. ICPR 1998: 1579-1581 - 1997
- [c2]Vadim Mottl, Alexander Blinov, Andrey Kopylov, Alexey Kostin:
Optimization Techniques on Pixel Neighborhood Graphs for Image Processing. GbRPR 1997: 135-145 - 1996
- [c1]Vadim Mottl, Ilya B. Muchnik, Alexander Blinov, Andrey Kopylov
Hidden tree-like quasi-Markov model and generalized technique for a class of image processing problems. ICPR 1996: 715-719
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: