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ORCIDValentina Sulimova
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Conference and Workshop Papers
- 2020
[c16]Alexandra Makarova, Mikhail Kurbakov
, Valentina Sulimova:
Mean Decision Rules Method with Smart Sampling for Fast Large-Scale Binary SVM Classification. ICPR 2020: 8212-8219- 2019
- [c15]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 - [c14]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 - [c13]Mikhail Kurbakov, Alexandra Makarova, Valentina Sulimova:
High-Performance Solution of the Two-Class SVM Problem for Big Data Sets by the Mean Decision Rule Method. RuSCDays 2019: 584-596 - 2018
- [c12]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 - 2017
- [c11]Valentina Sulimova, Vadim Mottl:
Potential Functions for Signals and Symbolic Sequences. Braverman Readings in Machine Learning 2017: 3-31 - 2016
- [c10]Valentina Sulimova, Oleg Seredin, Vadim Mottl:
Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. IDP 2016: 61-73 - 2014
- [c9]Anna Gubareva, Valentina Sulimova, Oleg Seredin, Aleksandr Larin, Vadim Mottl:
Finding the Largest Hypercavity in a Linear Data Space. ICPR 2014: 4406-4410 - [c8]Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov:
An Automatic Matching Procedure of Ultrasonic Railway Defectograms. MLDM 2014: 315-327 - [c7]Alexander Tatarchuk, Valentina Sulimova, Ivan Yu. Torshin, Vadim Mottl, David Windridge:
Supervised Selective Kernel Fusion for Membrane Protein Prediction. PRIB 2014: 98-109 - 2012
- [c6]Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin, Valentina Sulimova, Oleg Seredin, David Windridge:
Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB 2012: 153-165 - 2010
- [c5]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 - 2009
- [c4]Valentina Sulimova, Vadim Mottl, Boris G. Mirkin, Ilya B. Muchnik, Casimir A. Kulikowski:
A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model. ISBRA 2009: 284-296 - [c3]Alexander Tatarchuk, Valentina Sulimova, David Windridge, Vadim Mottl, Mikhail Lange:
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. MCS 2009: 324-334 - 2008
- [c2]Vadim Mottl, Mikhail Lange, Valentina Sulimova, Alexey Yermakov:
Signature verification based on fusion of on-line and off-line kernels. ICPR 2008: 1-4 - 2007
- [c1]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
Coauthor Index
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