| 2020 | ESANN | On Feature Selection Using Anisotropic General Regression Neural Network. | Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski |
| 2020 | ESANN | Model Variance for Extreme Learning Machine. | Fabian Guignard, Mohamed Laib, Mikhail F. Kanevski |
| 2020 | ICPR | Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept. | Mikhail F. Kanevski, Mohamed Laib |
| 2018 | ESANN | A novel filter algorithm for unsupervised feature selection based on a space filling measure. | Mohamed Laib, Mikhail F. Kanevski |
| 2015 | ESANN | Morisita-based feature selection for regression problems. | Jean Golay, Michael Leuenberger, Mikhail F. Kanevski |
| 2014 | ESANN | Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine. | Michael Leuenberger, Mikhail F. Kanevski |
| 2014 | ICCSA | Air Pollution Mapping Using Nonlinear Land Use Regression Models. | Alexandre Champendal, Mikhail F. Kanevski, Pierre-Emmanuel Huguenot |
| 2014 | ICCSA | Variables Selection for Ecotoxicity and Human Toxicity Characterization Using Gamma Test. | Antonino Marvuglia, Mikhail F. Kanevski, Michael Leuenberger, Enrico Benetto |
| 2014 | IGARSS | Domain adaptation in remote sensing through cross-image synthesis with dictionaries. | Giona Matasci, Frank de Morsier, Mikhail F. Kanevski, Devis Tuia |
| 2013 | ESANN | Multi-view feature extraction for hyperspectral image classification. | Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia |
| 2013 | IGARSS | Multi-sensor change detection based on nonlinear canonical correlations. | Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia |
| 2013 | ICPRAM | Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. | Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski |
| 2013 | IGARSS | Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions. | Giona Matasci, Nathan Longbotham, Fabio Pacifici, Mikhail F. Kanevski, Devis Tuia |
| 2012 | IGARSS | Enhanced change detection using nonlinear feature extraction. | Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski |
| 2011 | IGARSS | Unsupervised change detection in the feature space using kernels. | Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski |
| 2011 | IGARSS | Domain separation for efficient adaptive active learning. | Giona Matasci, Devis Tuia, Mikhail F. Kanevski |
| 2011 | PAAMS | Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation. | Marc Revilloud, Jean-Christophe Loubier, Marut Doctor, Mikhail F. Kanevski, Vadim Timonin, M. Schumacher |
| 2010 | ESANN | Time series input selection using multiple kernel learning. | Loris Foresti, Devis Tuia, Vadim Timonin, Mikhail F. Kanevski |
| 2010 | ESANN | Machine learning analysis and modeling of interest rate curves. | Mikhail F. Kanevski, Vadim Timonin |
| 2010 | IGARSS | Cluster-based active learning for compact image classification. | Devis Tuia, Mikhail F. Kanevski, Jordi Muoz-Mar, Gustavo Camps-Valls |
| 2010 | IGARSS | Advanced active sampling for remote sensing image classification. | Michele Volpi, Devis Tuia, Mikhail F. Kanevski |
| 2009 | ICANN | Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. | Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, Mikhail F. Kanevski |
| 2009 | IGARSS | Learning the Relevant Image Features with Multiple Kernels. | Devis Tuia, Giona Matasci, Gustavo Camps-Valls, Mikhail F. Kanevski |
| 2008 | ESANN | GeoKernels: modeling of spatial data on geomanifolds. | Alexei Pozdnoukhov, Mikhail F. Kanevski |
| 2008 | ICCSA | Automatic Decision-Oriented Mapping of Pollution Data. | Mikhail F. Kanevski, Vadim Timonin, Alexei Pozdnoukhov |
| 2008 | ICCSA | Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. | Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski |
| 2008 | IGARSS | Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. | Devis Tuia, Frdric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery |
| 2007 | IDEAL | A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data. | Frdric Ratle, Mikhail F. Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux |
| 2006 | ESANN | Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. | Frdric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux |
| 2006 | ICANN | Learning Manifolds in Forensic Data. | Frdric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux |
| 2000 | ESANN | Application of MLP and stochastic simulations for electricity load forecasting in Russia. | Elena Savelieva, Alexey Kravetski, Sergey Chernov, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski |
| 1997 | ICANN | Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics. | Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan |
| 1994 | SSDBM | Development of Database Management for the Analysis of Large Scale Radioecological Accidents. | Igor Innokentevich Linge, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski, Vladimir P. Kiselev, Igor A. Osipjanc |