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written by Anatole A. Klyosov, Igor L. Rozhanskii,
published by Intelligent Information Management, Vol.2 No.6, 2010
has been cited by the following article(s):
[1]
Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM
Journal of theoretical biology, Elsevier
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[2]
Minería de datos aplicada a la detección de clientes con alta probabilidad de fraudes en sistemas de distribución
NULL
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[3]
Context based document classification and analysis
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[4]
Classification red blood cells using support vector machine
Information Technology and Multimedia (ICIMU), 2014 International Conference on
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[5]
Formulation of Feature Selection with Support Vector Machine
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[6]
Wavelet Feature Selection Approach for Heart Murmur Classification
International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering
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[7]
Research on raw water quality assessment oriented to drinking water treatment based on the SVM model
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[8]
Detection of Sleep Apnea Disease From Clinical Data using Partical Swarm Optimization
International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE)
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[9]
Improvement of convergence behavior for adaptive feed-forward control with initial values design in hard disk drives
Microsystem Technologies
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[11]
HYBRID APPROACHES FEATURE SUBSET SELECTION: A REVIEW
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
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[12]
Various Approaches towards Cryptanalysis
International Journal of Computer Applications
2015
[14]
GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data
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[15]
Two-phase Optimization for Support Vectors and Parameter Selection of Support Vector Machines: Two-class Classification
Applied Soft Computing
2017
[16]
Raw water quality assessment oriented to the drinking water treatment based on SVM model
2017
[17]
A case study on the MPC for ozone dosing process based on SVM
2017
[18]
Research of raw water quality assessment oriented to the drinking water treatment based on SVM model
2015
[19]
Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
PLOS ONE
2018
[20]
Computational Intensity Prediction Model of Vector Data Overlay with Random Forest Method
Data Science
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[21]
Year of Publication: 2016
International Journal of Computer Applications
2015
[22]
Compensation and identification for external disturbances in head positioning systems of hard disk drives based on a data-based design method
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[23]
Centroid particle swarm optimisation for high-dimensional data classification
Journal of Experimental & Theoretical Artificial Intelligence
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[1] | GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data IEEE Geoscience and Remote Sensing Letters 2017 DOI:10.1109/LGRS.2016.2628406 |