Mikhail F. Kanevski
Orcid: 0000-0001-6602-6551
According to our database1,
Mikhail F. Kanevski
authored at least 74 papers
between 1994 and 2021.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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Bibliography
2021
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals.
Neurocomputing, 2021
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential.
CoRR, 2021
2020
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning.
CoRR, 2020
Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020
2019
Comput. Geosci., 2019
Entropy, 2019
2018
Environ. Model. Softw., 2018
Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal.
Environ. Model. Softw., 2018
A novel filter algorithm for unsupervised feature selection based on a space filling measure.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Feature selection for regression problems based on the Morisita estimator of intrinsic dimension.
Pattern Recognit., 2017
Unsupervised feature selection based on the Morisita estimator of intrinsic dimension.
Knowl. Based Syst., 2017
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).
Neurocomputing, 2016
Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension: Concept and Case Studies.
CoRR, 2016
2015
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015
Pattern Recognit., 2015
Statistical learning in geoscience modelling: Novel algorithms and challenging case studies.
Comput. Geosci., 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Neurocomputing, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Variables Selection for Ecotoxicity and Human Toxicity Characterization Using Gamma Test.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Multiagent Grid Syst., 2013
Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis.
Comput. Geosci., 2013
Supervised change detection in VHR images using contextual information and support vector machines.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification.
Proceedings of the ICPRAM 2013, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
IEEE Trans. Geosci. Remote. Sens., 2012
Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar.
IEEE Trans. Geosci. Remote. Sens., 2012
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
J. Signal Process. Syst., 2011
A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification.
IEEE J. Sel. Top. Signal Process., 2011
Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation.
Proceedings of the Advances on Practical Applications of Agents and Multiagent Systems, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232].
IEEE Trans. Geosci. Remote. Sens., 2010
IEEE Trans. Geosci. Remote. Sens., 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
IEEE Trans. Geosci. Remote. Sens., 2009
Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines.
IEEE Trans. Geosci. Remote. Sens., 2009
Trans. Comput. Sci., 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images.
IEEE Geosci. Remote. Sens. Lett., 2008
Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008
Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
2006
Proceedings of the Artificial Neural Networks, 2006
Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2004
Environmental data mining and modeling based on machine learning algorithms and geostatistics.
Environ. Model. Softw., 2004
Geostatistical and Artificial Neuronal Networks maps of the Texture of the soils of Geneva Canton.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004
Advanced analysis and modelling tools for spatial environmental data. Case study: indoor radon data in Switzerland.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004
2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
2000
Application of MLP and stochastic simulations for electricity load forecasting in Russia.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000
1997
Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics.
Proceedings of the Artificial Neural Networks, 1997
1994
Development of Database Management for the Analysis of Large Scale Radioecological Accidents.
Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management, 1994
Development of Specialized Geographical Information Systems for the Analysis of Large Scale Radioecological Accidents.
Proceedings of the IGIS '94: Geographic Information Systems, International Workshop on Advanced Information Systems, Monte Verita, Ascona, Switzerland, February 28, 1994