Mikhail F. Kanevski

	2011
31		Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski: Unsupervised change detection in the feature space using kernels. IGARSS 2011: 106-109
30		Giona Matasci, Devis Tuia, Mikhail F. Kanevski: Domain separation for efficient adaptive active learning. IGARSS 2011: 3716-3719
29		M. Revilloud, J.-C. Loubier, M. Doctor, Mikhail F. Kanevski, Vadim Timonin, M. Schumacher: Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation. PAAMS 2011: 201-210
28		Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí: A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. J. Sel. Topics Signal Processing 5(3): 606-617 (2011)
27		Devis Tuia, Jordi Muñoz-Marí, Mikhail F. Kanevski, Gustavo Camps-Valls: Structured Output SVM for Remote Sensing Image Classification. Signal Processing Systems 65(3): 301-310 (2011)
	2010
26		Mikhail F. Kanevski, Vadim Timonin: Machine learning analysis and modeling of interest rate curves. ESANN 2010
25		Loris Foresti, Devis Tuia, Vadim Timonin, Mikhail F. Kanevski: Time series input selection using multiple kernel learning. ESANN 2010
24		Michele Volpi, Devis Tuia, Mikhail F. Kanevski: Advanced active sampling for remote sensing image classification. IGARSS 2010: 1414-1417
23		Devis Tuia, Mikhail F. Kanevski, Jordi Muñoz-Marí, Gustavo Camps-Valls: Cluster-based active learning for compact image classification. IGARSS 2010: 2824-2827
22		Devis Tuia, Gustavo Camps-Valls, Giona Matasci, Mikhail F. Kanevski: Learning Relevant Image Features With Multiple-Kernel Classification. IEEE T. Geoscience and Remote Sensing 48(10): 3780-3791 (2010)
21		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 T. Geoscience and Remote Sensing 48(6): 2767 (2010)
	2009
20		S. B. Bai, J. Wang, Alexei Pozdnoukhov, Mikhail F. Kanevski: Validation of Logistic Regression Models for Landslide Susceptibility Maps. CSIE (2) 2009: 355-358
19		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: 933-943
18		Devis Tuia, Giona Matasci, Gustavo Camps-Valls, Mikhail F. Kanevski: Learning the Relevant Image Features with Multiple Kernels. IGARSS (2) 2009: 65-68
17		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 T. Geoscience and Remote Sensing 47(11): 3866-3879 (2009)
16		Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery: Active Learning Methods for Remote Sensing Image Classification. IEEE T. Geoscience and Remote Sensing 47(7-2): 2218-2232 (2009)
15		Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski: Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data. Transactions on Computational Science 6: 234-250 (2009)
	2008
14		Alexei Pozdnoukhov, Mikhail F. Kanevski: GeoKernels: modeling of spatial data on geomanifolds. ESANN 2008: 277-282
13		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: 647-651
12		Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski: Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. ICCSA (1) 2008: 52-64
11		Mikhail F. Kanevski, Vadim Timonin, Alexei Pozdnoukhov: Automatic Decision-Oriented Mapping of Pollution Data. ICCSA (1) 2008: 678-691
10		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: 73-76
	2007
9		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: 67-76
8		Mikhail F. Kanevski, Alexei Pozdnoukhov, Vadim Timonin, Michel Maignan: Mapping of environmental data using kernel-based methods. Revue Internationale de Géomatique 17(3-4): 309-331 (2007)
	2006
7		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: 665-670
6		Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux: Learning Manifolds in Forensic Data. ICANN (2) 2006: 894-903
	2004
5		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. Environmental Modelling and Software 19(9): 845-855 (2004)
	2000
4		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: 413-418
	1997
3		Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan: Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics. ICANN 1997: 1125-1130
	1994
2		Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, V. 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: 109-112
1		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: 291

Coauthor Index

1	Rafael V. Arutyunyan	[1] [2] [4]
2	S. B. Bai	[13] [20]
3	Leonid Aleksandrovich Bolshov	[1] [2] [4]
4	Gustavo Camps-Valls	[18] [22] [23] [27] [31]
5	Stéphane Canu	[5]
6	Sergey Chernov	[4]
7	Loris Copa	[28]
8	Antonio Da Cunha	[12] [15]
9	Vasiliy V. Demyanov	[3] [4] [5]
10	M. Doctor	[29]
11	William J. Emery	[10] [16] [17] [21]
12	Pierre Esseiva	[6] [7] [9]
13	Loris Foresti	[19] [25]
14	Fabio Del Frate	[10]
15	V. M. Goloviznin	[2]
16	S. A. Kabalevski	[2]
17	Christian Kaiser	[12] [15]
18	Vladimir P. Kiselev	[1] [2]
19	Alexey Kravetski	[4]
20	Igor Innokentevich Linge	[1] [2]
21	J.-C. Loubier	[29]
22	Michel Maignan	[3] [5] [8]
23	Giona Matasci	[18] [22] [30]
24	Jordi Muñoz-Marí	[23] [27] [28]
25	Igor A. Osipjanc	[1]
26	Fabio Pacifici	[10] [16] [17] [21]
27	Roman Parkin	[5]
28	Alexei Pozdnoukhov	[8] [10] [11] [13] [14] [19] [20]
29	Aleksey Pozdnukhov	[5]
30	Frédéric Ratle	[6] [7] [9] [10] [16] [21]
31	M. Revilloud	[29]
32	Olivier Ribaux	[6] [7] [9]
33	Elena Savelieva	[4]
34	M. Schumacher	[29]
35	A. N. Serov	[2]
36	Domenico Solimini	[10]
37	Anne-Laure Terrettaz-Zufferey (Anne-Laure Terrettaz)	[6] [7] [9]
38	Vadim Timonin	[4] [5] [8] [11] [25] [26] [29]
39	Devis Tuia	[10] [12] [15] [16] [17] [18] [19] [21] [22] [23] [24] [25] [27] [28] [30] [31]
40	Michele Volpi	[24] [28] [31]
41	J. Wang	[13] [20]
42	F. Y. Zhang	[13]

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