Development of Specialized Geographical Information Systems for the Analysis of Large Scale Radioecological Accidents. - Rafael V. Arutyunyan; Leonid Aleksandrovich Bolshov; Vasilij M. Goloviznin; S. A. Kabalevski; Mikhail F. Kanevski; Vladimir P. Kiselev; Igor Innokentevich Linge; A. N. Serov (IGIS, 1994)

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 (SSDBM, 1994)

Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics. - Mikhail F. Kanevski; Vasiliy V. Demyanov; Michel Maignan (ICANN, 1997)

Application of MLP and stochastic simulations for electricity load forecasting in Russia. - Elena Savelieva; Alexey Kravetski; Sergey Chernov 002; Vasiliy V. Demyanov; Vadim Timonin; Rafael V. Arutyunyan; Leonid Aleksandrovich Bolshov; Mikhail F. Kanevski (ESANN, 2000)

Conditional Gaussian mixture models for environmental risk mapping. - N. Gilardi; Samy Bengio; Mikhail F. Kanevski (NNSP, 2002)

Advanced analysis and modelling tools for spatial environmental data. Case study: indoor radon data in Switzerland. - Mikhail F. Kanevski; Michel Maignan; Georges Piller (EnviroInfo (1), 2004)

Geostatistical and Artificial Neuronal Networks maps of the Texture of the soils of Geneva Canton. - Michel Maignan; Mikhail F. Kanevski; F. Celardin; A. Besson (EnviroInfo (2), 2004)

Environmental data mining and modeling based on machine learning algorithms and geostatistics. - Mikhail F. Kanevski; Roman Parkin; Aleksey Pozdnukhov; Vadim Timonin; Michel Maignan; Vasiliy V. Demyanov; Stéphane Canu (Environ. Model. Softw., 2004)

Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. - Frédéric Ratle; Anne-Laure Terrettaz; Mikhail F. Kanevski; Pierre Esseiva; Olivier Ribaux (ESANN, 2006)

Learning Manifolds in Forensic Data. - Frédéric Ratle; Anne-Laure Terrettaz-Zufferey; Mikhail F. Kanevski; Pierre Esseiva; Olivier Ribaux (ICANN (2), 2006)

A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data. - Frédéric Ratle; Mikhail F. Kanevski; Anne-Laure Terrettaz-Zufferey; Pierre Esseiva; Olivier Ribaux (IDEAL, 2007)

Mapping of environmental data using kernel-based methods. - Mikhail F. Kanevski; Alexei Pozdnoukhov; Vadim Timonin; Michel Maignan (Rev. Int. Géomatique, 2007)

GeoKernels: modeling of spatial data on geomanifolds. - Alexei Pozdnoukhov; Mikhail F. Kanevski (ESANN, 2008)

Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China. - S. B. Bai; J. Wang; F. Y. Zhang; Alexei Pozdnoukhov; Mikhail F. Kanevski (FSKD (4), 2008)

Automatic Decision-Oriented Mapping of Pollution Data. - Mikhail F. Kanevski; Vadim Timonin; Alexei Pozdnoukhov (ICCSA (1), 2008)

Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. - Devis Tuia; Christian Kaiser; Antonio Da Cunha; Mikhail F. Kanevski (ICCSA (1), 2008)

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. - Devis Tuia; Frédéric Ratle; Fabio Pacifici; Alexei Pozdnoukhov; Mikhail F. Kanevski; Fabio Del Frate; Domenico Solimini; William J. Emery (IGARSS (4), 2008)

Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images. - Dominique Fasbender; Devis Tuia; Patrick Bogaert; Mikhail F. Kanevski (IEEE Geosci. Remote. Sens. Lett., 2008)

Validation of Logistic Regression Models for Landslide Susceptibility Maps. - S. B. Bai; J. Wang; Alexei Pozdnoukhov; Mikhail F. Kanevski (CSIE (2), 2009)

Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. - Loris Foresti; Devis Tuia; Alexei Pozdnoukhov; Mikhail F. Kanevski (ICANN (2), 2009)

Learning the Relevant Image Features with Multiple Kernels. - Devis Tuia; Giona Matasci; Gustavo Camps-Valls; Mikhail F. Kanevski (IGARSS (2), 2009)

Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data. - Devis Tuia; Christian Kaiser; Antonio Da Cunha; Mikhail F. Kanevski (Trans. Comput. Sci., 2009)

Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines. - Devis Tuia; Fabio Pacifici; Mikhail F. Kanevski; William J. Emery (IEEE Trans. Geosci. Remote. Sens., 2009)

Active Learning Methods for Remote Sensing Image Classification. - Devis Tuia; Frédéric Ratle; Fabio Pacifici; Mikhail F. Kanevski; William J. Emery (IEEE Trans. Geosci. Remote. Sens., 2009)

Time series input selection using multiple kernel learning. - Loris Foresti; Devis Tuia; Vadim Timonin; Mikhail F. Kanevski (ESANN, 2010)

Machine learning analysis and modeling of interest rate curves. - Mikhail F. Kanevski; Vadim Timonin (ESANN, 2010)

Cluster-based active learning for compact image classification. - Devis Tuia; Mikhail F. Kanevski; Jordi Muñoz-Marí; Gustavo Camps-Valls (IGARSS, 2010)

Advanced active sampling for remote sensing image classification. - Michele Volpi; Devis Tuia; Mikhail F. Kanevski (IGARSS, 2010)

Learning Relevant Image Features With Multiple-Kernel Classification. - Devis Tuia; Gustavo Camps-Valls; Giona Matasci; Mikhail F. Kanevski (IEEE Trans. Geosci. Remote. Sens., 2010)

Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232]. - Devis Tuia; Frédéric Ratle; Fabio Pacifici; Mikhail F. Kanevski; William J. Emery (IEEE Trans. Geosci. Remote. Sens., 2010)

Domain separation for efficient adaptive active learning. - Giona Matasci; Devis Tuia; Mikhail F. Kanevski (IGARSS, 2011)

Unsupervised change detection in the feature space using kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IGARSS, 2011)

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 (PAAMS, 2011)

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. - Devis Tuia; Michele Volpi; Loris Copa; Mikhail F. Kanevski; Jordi Muñoz-Marí (IEEE J. Sel. Top. Signal Process., 2011)

Structured Output SVM for Remote Sensing Image Classification. - Devis Tuia; Jordi Muñoz-Marí; Mikhail F. Kanevski; Gustavo Camps-Valls (J. Signal Process. Syst., 2011)

Enhanced change detection using nonlinear feature extraction. - Michele Volpi; Giona Matasci; Devis Tuia; Mikhail F. Kanevski (IGARSS, 2012)

Unsupervised Change Detection With Kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IEEE Geosci. Remote. Sens. Lett., 2012)

SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation. - Giona Matasci; Devis Tuia; Mikhail F. Kanevski (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar. - Loris Foresti; Mikhail F. Kanevski; Alexei Pozdnoukhov (IEEE Trans. Geosci. Remote. Sens., 2012)

Memory-Based Cluster Sampling for Remote Sensing Image Classification. - Michele Volpi; Devis Tuia; Mikhail F. Kanevski (IEEE Trans. Geosci. Remote. Sens., 2012)

Multi-view feature extraction for hyperspectral image classification. - Michele Volpi; Giona Matasci; Mikhail F. Kanevski; Devis Tuia (ESANN, 2013)

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. - Giona Matasci; Lorenzo Bruzzone; Michele Volpi; Devis Tuia; Mikhail F. Kanevski (ICPRAM, 2013)

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 (IGARSS, 2013)

Multi-sensor change detection based on nonlinear canonical correlations. - Michele Volpi; Frank de Morsier; Gustavo Camps-Valls; Mikhail F. Kanevski; Devis Tuia (IGARSS, 2013)

Supervised change detection in VHR images using contextual information and support vector machines. - Michele Volpi; Devis Tuia; Francesca Bovolo; Mikhail F. Kanevski; Lorenzo Bruzzone (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis. - Michele Volpi; George P. Petropoulos; Mikhail F. Kanevski (Comput. Geosci., 2013)

Predicting snow height in ski resorts using an agent-based simulation. - Marc Revilloud; Jean-Christophe Loubier; Marut Doctor; Mikhail F. Kanevski; Vadim Timonin; Michael Ignaz Schumacher (Multiagent Grid Syst., 2013)

Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine. - Michael Leuenberger; Mikhail F. Kanevski (ESANN, 2014)

Air Pollution Mapping Using Nonlinear Land Use Regression Models. - Alexandre Champendal; Mikhail F. Kanevski; Pierre-Emmanuel Huguenot (ICCSA (3), 2014)

Variables Selection for Ecotoxicity and Human Toxicity Characterization Using Gamma Test. - Antonino Marvuglia; Mikhail F. Kanevski; Michael Leuenberger; Enrico Benetto (ICCSA (3), 2014)

Domain adaptation in remote sensing through cross-image synthesis with dictionaries. - Giona Matasci; Frank de Morsier; Mikhail F. Kanevski; Devis Tuia (IGARSS, 2014)

Semi-supervised multiview embedding for hyperspectral data classification. - Michele Volpi; Giona Matasci; Mikhail F. Kanevski; Devis Tuia (Neurocomputing, 2014)

Morisita-based feature selection for regression problems. - Jean Golay; Michael Leuenberger; Mikhail F. Kanevski (ESANN, 2015)

Statistical learning in geoscience modelling: Novel algorithms and challenging case studies. - Mikhail F. Kanevski; Vasiliy V. Demyanov (Comput. Geosci., 2015)

Extreme Learning Machines for spatial environmental data. - Michael Leuenberger; Mikhail F. Kanevski (Comput. Geosci., 2015)

A new estimator of intrinsic dimension based on the multipoint Morisita index. - Jean Golay; Mikhail F. Kanevski (Pattern Recognit., 2015)

Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. - Giona Matasci; Michele Volpi; Mikhail F. Kanevski; Lorenzo Bruzzone; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2015)

Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension: Concept and Case Studies. - Jean Golay; Michael Leuenberger; Mikhail F. Kanevski (CoRR, 2016)

Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). - Fabio Aiolli; Kerstin Bunte; Romain Hérault; Mikhail F. Kanevski (Neurocomputing, 2016)

Unsupervised Feature Selection Based on Space Filling Concept. - Mohamed Laib; Mikhail F. Kanevski (CoRR, 2017)

Unsupervised feature selection based on the Morisita estimator of intrinsic dimension. - Jean Golay; Mikhail F. Kanevski (Knowl. Based Syst., 2017)

Feature selection for regression problems based on the Morisita estimator of intrinsic dimension. - Jean Golay; Michael Leuenberger; Mikhail F. Kanevski (Pattern Recognit., 2017)

A novel filter algorithm for unsupervised feature selection based on a space filling measure. - Mohamed Laib; Mikhail F. Kanevski (ESANN, 2018)

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. - Federico Amato; Marj Tonini; Beniamino Murgante; Mikhail F. Kanevski (Environ. Model. Softw., 2018)

Wildfire susceptibility mapping: Deterministic vs. stochastic approaches. - Michael Leuenberger; Joana Parente; Marj Tonini; Mário G. Pereira; Mikhail F. Kanevski (Environ. Model. Softw., 2018)

Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series. - Fabian Guignard; Dasaraden Mauree; Michele Lovallo; Mikhail F. Kanevski; Luciano Telesca (Entropy, 2019)

A new algorithm for redundancy minimisation in geo-environmental data. - Mohamed Laib; Mikhail F. Kanevski (Comput. Geosci., 2019)

Spatio-temporal evolution of global surface temperature distributions. - Federico Amato; Fabian Guignard; Vincent Humphrey; Mikhail F. Kanevski (CI, 2020)

On Feature Selection Using Anisotropic General Regression Neural Network. - Federico Amato; Fabian Guignard; Philippe Jacquet; Mikhail F. Kanevski (ESANN, 2020)

Model Variance for Extreme Learning Machine. - Fabian Guignard; Mohamed Laib; Mikhail F. Kanevski (ESANN, 2020)

Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept. - Mikhail F. Kanevski; Mohamed Laib (ICPR Workshops (6), 2020)

A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. - Federico Amato; Fabian Guignard; Sylvain Robert; Mikhail F. Kanevski (CoRR, 2020)

Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential. - Federico Amato; Fabian Guignard; Alina Walch; Nahid Mohajeri; Jean-Louis Scartezzini; Mikhail F. Kanevski (CoRR, 2021)

Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. - Fabian Guignard; Federico Amato; Mikhail F. Kanevski (Neurocomputing, 2021)