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Mikhail F. Kanevski: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
    Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:665-670 [Conf]
  2. Elena Savelieva, Alexey Kravetski, Sergey Chernov 0002, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski
    Application of MLP and stochastic simulations for electricity load forecasting in Russia. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:413-418 [Conf]
  3. Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan
    Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:1125-1130 [Conf]
  4. Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
    Learning Manifolds in Forensic Data. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:894-903 [Conf]
  5. Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, V. M. Goloviznin, S. A. Kabalevsky, Mikhail F. Kanevsky, Vladimir P. Kiselev, Igor Innokentevich Linge, A. N. Serov
    Development of Specialized Geographical Information Systems for the Analysis of Large Scale Radioecological Accidents. [Citation Graph (0, 0)][DBLP]
    IGIS, 1994, pp:109-112 [Conf]
  6. Igor Innokentevich Linge, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevsky, Vladimir P. Kiselev, Igor A. Osipjanc
    Development of Database Management for the Analysis of Large Scale Radioecological Accidents. [Citation Graph (0, 0)][DBLP]
    SSDBM, 1994, pp:291- [Conf]
  7. Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu
    Environmental data mining and modeling based on machine learning algorithms and geostatistics. [Citation Graph (0, 0)][DBLP]
    Environmental Modelling and Software, 2004, v:19, n:9, pp:845-855 [Journal]

  8. GeoKernels: modeling of spatial data on geomanifolds. [Citation Graph (, )][DBLP]


  9. Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China. [Citation Graph (, )][DBLP]


  10. Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. [Citation Graph (, )][DBLP]


  11. Automatic Decision-Oriented Mapping of Pollution Data. [Citation Graph (, )][DBLP]


  12. Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. [Citation Graph (, )][DBLP]


  13. A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data. [Citation Graph (, )][DBLP]


  14. Validation of Logistic Regression Models for Landslide Susceptibility Maps. [Citation Graph (, )][DBLP]


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