Mikhail F. Kanevski

79 papers B 12C 11Misc 1Journal 39Unranked 16

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