Mikhail F. Kanevski

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 27

Top Topics

Regression Problems

Top Venues

Comput. Geosci.

Publications

Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
A survey of active learning algorithms for supervised remote sensing image classification. CoRR (2021)
Fabian Guignard, Federico Amato, Mikhail F. Kanevski
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. Neurocomputing 456 (2021)
Federico Amato, Fabian Guignard, Alina Walch, Nahid Mohajeri, Jean-Louis Scartezzini, Mikhail F. Kanevski
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential. CoRR (2021)
Mikhail F. Kanevski, Mohamed Laib
Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept. ICPR Workshops (6) (2020)
Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail F. Kanevski
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. CoRR (2020)
Fabian Guignard, Federico Amato, Mikhail F. Kanevski
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals. CoRR (2020)
Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski
Spatio-temporal evolution of global surface temperature distributions. CI (2020)
Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski
On Feature Selection Using Anisotropic General Regression Neural Network. ESANN (2020)
Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski
Spatio-temporal evolution of global surface temperature distributions. CoRR (2020)
Fabian Guignard, Mohamed Laib, Mikhail F. Kanevski
Model Variance for Extreme Learning Machine. ESANN (2020)
Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski
On Feature Selection Using Anisotropic General Regression Neural Network. CoRR (2020)
Mohamed Laib, Mikhail F. Kanevski
A new algorithm for redundancy minimisation in geo-environmental data. Comput. Geosci. 133 (2019)
Fabian Guignard, Dasaraden Mauree, Michele Lovallo, Mikhail F. Kanevski, Luciano Telesca
Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series. Entropy 21 (1) (2019)
Mohamed Laib, Mikhail F. Kanevski
A novel filter algorithm for unsupervised feature selection based on a space filling measure. ESANN (2018)
Federico Amato, Marj Tonini, Beniamino Murgante, Mikhail F. Kanevski
Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. Environ. Model. Softw. 104 (2018)
Michael Leuenberger, Joana Parente, Marj Tonini, Mário G. Pereira, Mikhail F. Kanevski
Wildfire susceptibility mapping: Deterministic vs. stochastic approaches. Environ. Model. Softw. 101 (2018)
Jean Golay, Michael Leuenberger, Mikhail F. Kanevski
Feature selection for regression problems based on the Morisita estimator of intrinsic dimension. Pattern Recognit. 70 (2017)
Jean Golay, Mikhail F. Kanevski
Unsupervised feature selection based on the Morisita estimator of intrinsic dimension. Knowl. Based Syst. 135 (2017)
Mohamed Laib, Mikhail F. Kanevski
Unsupervised Feature Selection Based on Space Filling Concept. CoRR (2017)
Jean Golay, Michael Leuenberger, Mikhail F. Kanevski
Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension: Concept and Case Studies. CoRR (2016)
Jean Golay, Mikhail F. Kanevski
Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension. CoRR (2016)
Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski
Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). Neurocomputing 192 (2016)
Jean Golay, Mikhail F. Kanevski
A new estimator of intrinsic dimension based on the multipoint Morisita index. Pattern Recognit. 48 (12) (2015)
Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 53 (7) (2015)
Mikhail F. Kanevski, Vasiliy V. Demyanov
Statistical learning in geoscience modelling: Novel algorithms and challenging case studies. Comput. Geosci. 85 (2015)
Michael Leuenberger, Mikhail F. Kanevski
Extreme Learning Machines for spatial environmental data. Comput. Geosci. 85 (2015)
Jean Golay, Michael Leuenberger, Mikhail F. Kanevski
Morisita-based feature selection for regression problems. ESANN (2015)
Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
Semi-supervised multiview embedding for hyperspectral data classification. Neurocomputing 145 (2014)
Michael Leuenberger, Mikhail F. Kanevski
Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine. ESANN (2014)
Giona Matasci, Frank de Morsier, Mikhail F. Kanevski, Devis Tuia
Domain adaptation in remote sensing through cross-image synthesis with dictionaries. IGARSS (2014)
Alexandre Champendal, Mikhail F. Kanevski, Pierre-Emmanuel Huguenot
Air Pollution Mapping Using Nonlinear Land Use Regression Models. ICCSA (3) (2014)
Antonino Marvuglia, Mikhail F. Kanevski, Michael Leuenberger, Enrico Benetto
Variables Selection for Ecotoxicity and Human Toxicity Characterization Using Gamma Test. ICCSA (3) (2014)
Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM (2013)
Giona Matasci, Nathan Longbotham, Fabio Pacifici, Mikhail F. Kanevski, Devis Tuia
Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions. IGARSS (2013)
Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia
Multi-sensor change detection based on nonlinear canonical correlations. IGARSS (2013)
Michele Volpi, George P. Petropoulos, Mikhail F. Kanevski
Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis. Comput. Geosci. 57 (2013)
Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone
Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinformation 20 (2013)
Marc Revilloud, Jean-Christophe Loubier, Marut Doctor, Mikhail F. Kanevski, Vadim Timonin, Michael Ignaz Schumacher
Predicting snow height in ski resorts using an agent-based simulation. Multiagent Grid Syst. 9 (4) (2013)
Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
Multi-view feature extraction for hyperspectral image classification. ESANN (2013)
Giona Matasci, Devis Tuia, Mikhail F. Kanevski
SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (5) (2012)
Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
Unsupervised Change Detection With Kernels. IEEE Geosci. Remote. Sens. Lett. 9 (6) (2012)
Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski
Enhanced change detection using nonlinear feature extraction. IGARSS (2012)
Loris Foresti, Mikhail F. Kanevski, Alexei Pozdnoukhov
Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Memory-Based Cluster Sampling for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
Unsupervised change detection in the feature space using kernels. IGARSS (2011)
Marc Revilloud, Jean-Christophe Loubier, Marut Doctor, Mikhail F. Kanevski, Vadim Timonin, M. Schumacher
Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation. PAAMS (2011)
Giona Matasci, Devis Tuia, Mikhail F. Kanevski
Domain separation for efficient adaptive active learning. IGARSS (2011)
Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. IEEE J. Sel. Top. Signal Process. 5 (3) (2011)
Devis Tuia, Jordi Muñoz-Marí, Mikhail F. Kanevski, Gustavo Camps-Valls
Structured Output SVM for Remote Sensing Image Classification. J. Signal Process. Syst. 65 (3) (2011)
Devis Tuia, Mikhail F. Kanevski, Jordi Muñoz-Marí, Gustavo Camps-Valls
Cluster-based active learning for compact image classification. IGARSS (2010)
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery
Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232]. IEEE Trans. Geosci. Remote. Sens. 48 (6) (2010)
Mikhail F. Kanevski, Vadim Timonin
Machine learning analysis and modeling of interest rate curves. ESANN (2010)
Devis Tuia, Gustavo Camps-Valls, Giona Matasci, Mikhail F. Kanevski
Learning Relevant Image Features With Multiple-Kernel Classification. IEEE Trans. Geosci. Remote. Sens. 48 (10) (2010)
Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Advanced active sampling for remote sensing image classification. IGARSS (2010)
Loris Foresti, Devis Tuia, Vadim Timonin, Mikhail F. Kanevski
Time series input selection using multiple kernel learning. ESANN (2010)
Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, Mikhail F. Kanevski
Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. ICANN (2) (2009)
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery
Active Learning Methods for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 47 (7-2) (2009)
S. B. Bai, J. Wang, Alexei Pozdnoukhov, Mikhail F. Kanevski
Validation of Logistic Regression Models for Landslide Susceptibility Maps. CSIE (2) (2009)
Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski
Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data. Trans. Comput. Sci. 6 (2009)
Devis Tuia, Giona Matasci, Gustavo Camps-Valls, Mikhail F. Kanevski
Learning the Relevant Image Features with Multiple Kernels. IGARSS (2) (2009)
Devis Tuia, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery
Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines. IEEE Trans. Geosci. Remote. Sens. 47 (11) (2009)
Alexei Pozdnoukhov, Mikhail F. Kanevski
GeoKernels: modeling of spatial data on geomanifolds. ESANN (2008)
S. B. Bai, J. Wang, F. Y. Zhang, Alexei Pozdnoukhov, Mikhail F. Kanevski
Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China. FSKD (4) (2008)
Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski
Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. ICCSA (1) (2008)
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery
Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. IGARSS (4) (2008)
Dominique Fasbender, Devis Tuia, Patrick Bogaert, Mikhail F. Kanevski
Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images. IEEE Geosci. Remote. Sens. Lett. 5 (4) (2008)
Mikhail F. Kanevski, Vadim Timonin, Alexei Pozdnoukhov
Automatic Decision-Oriented Mapping of Pollution Data. ICCSA (1) (2008)
Mikhail F. Kanevski, Alexei Pozdnoukhov, Vadim Timonin, Michel Maignan
Mapping of environmental data using kernel-based methods. Rev. Int. Géomatique 17 (3-4) (2007)
Frédéric Ratle, Mikhail F. Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux
A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data. IDEAL (2007)
Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
Learning Manifolds in Forensic Data. ICANN (2) (2006)
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. ESANN (2006)
Michel Maignan, Mikhail F. Kanevski, F. Celardin, A. Besson
Geostatistical and Artificial Neuronal Networks maps of the Texture of the soils of Geneva Canton. EnviroInfo (2) (2004)
Mikhail F. Kanevski, Michel Maignan, Georges Piller
Advanced analysis and modelling tools for spatial environmental data. Case study: indoor radon data in Switzerland. EnviroInfo (1) (2004)
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. Environ. Model. Softw. 19 (9) (2004)
N. Gilardi, Samy Bengio, Mikhail F. Kanevski
Conditional Gaussian mixture models for environmental risk mapping. NNSP (2002)
Elena Savelieva, Alexey Kravetski, Sergey Chernov, 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. ESANN (2000)
Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan
Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics. ICANN (1997)
Igor Innokentevich Linge, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski, Vladimir P. Kiselev, Igor A. Osipjanc
Development of Database Management for the Analysis of Large Scale Radioecological Accidents. SSDBM (1994)
Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Vasilij M. Goloviznin, S. A. Kabalevski, Mikhail F. Kanevski, Vladimir P. Kiselev, Igor Innokentevich Linge, A. N. Serov
Development of Specialized Geographical Information Systems for the Analysis of Large Scale Radioecological Accidents. IGIS (1994)