Publications

Fasbender, D., Tuia, D., Kanevski, M., Bogaert, P. In press. Support-based implementation of Bayesian Data Fusion for spatial enhancement: application to ASTER thermal images. In Letters in Geoscience and Remote Sensing.

Foresti, L., Pozdnoukhov, A., Tuia, D., Kanevski, M. In press. Extreme Precipitation Modelling using Geostatistics and Machine Learning Algorithms. In 7th International Conference on Geostatistics for Environmental Applications, GeoEnv VII.

Foresti, L., Pozdnoukhov, A., Tuia, D., Kanevski, M. In press. Multiple Kernel Learning of Environmental Data. Case study: Analysis and Mapping of Wind Fields. In 19th International Conference on Artificial Neural Networks.

Tuia, D., Kaiser, C., Kanevski, M. In press. Socio-economic data analysis with scan statistics and self-organizing maps. In Lecture Notes in Computer Science, Vol. 5072.

Foresti, L., Pozdnoukhov, A., Kanevski, M. (2009). Data-driven Topographic Feature Selection for Mean Speed Mapping. In European Geoscience Union General Assembly, EGU 2009.

Tuia, D., Matasci, G., Kanevski, M., Camps-Valla, G. (2009). Learning the relevant image features with multiple kernels. In IEEE Geoscience and remote Sensing Symposium , IGARSS 2009.

Matasci, G., Pozdnoukhov, A., Kanevski, M. (2009). Sensivity Analysis of a Spatio-Temporal Avalanche Forecasting Model-Based on Support Vector Machines. In European Geoscience Union General Assembly, EGU 2009.

Pozdnoukhov, A., Foresti, L., Kanevski, M. (2009). Data-driven Topo-climatic Mapping with Support Vector Machines. In Natural Hazards, p.29, Springer.

Pozdnoukhov, A., Foresti, L., Kanevski, M. (2009). Data-driven Topo-climatic Mapping with Support Vector Machines. In Natural Hazards, p.29, Springer.

Beres, M., Foresti, L., Tapia, R., Kanevski, M. (2008). Frost risk mapping using neural networks and GIS decision models. In European Geoscience Union.

Foresti, L. (2008). Advanced Mapping of Spatial Environmental Data. Chapt. Subchapter 5.2: Air temperature modeling with machine learning algorithms and geostatistics, p. 37 pp. ISTE.

Foresti, L., Pozdnoukhov, A., Kanevski, M. (2008). Spatial prediction of temperature inversion using machine learning methods and GIS. In: European Geoscience Union.

Kanevski, M., Pozdnoukhov, A., Timonin, V., Foresti, L. (2008). Predictive Modeling of Geospatial Data with Machine Learning Algorithms. In European Geoscience Union.

Ratle, F., Gagné, C., Terrettaz-Zufferey, A., Kanevski, M., Esseiva, P., Ribaux, O. (2008a). Advanced clustering methods for mining chemical databases in forensic science. Journal of Chemometrics and Intelligent Laboratory Systems 90(2).

Ratle, F., Pozdnoukhov, A., Timonin, V., Savelieva, E. (2008b). Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and Bayesian Maximum Entropy. Chapt.: Spatial data analysis with machine learning algorithms. ISTE.

Tapia, R. (2008). Advanced Mapping of Spatial Environmental Data. Chapt. Subchapter 5.6: Indicator kriging and sequential Gaussian simulations for probability mapping, indoor radon case study, p. 16 pp. ISTE.

Tapia, R., Huguenot, P.-E., Kanevski, M. (2008). Sequential gaussian simulations for indoor radon risk mapping using declustering and constrained nets. In: European Geosciences Union, Vienna, Austria, 14 - 18 April.

Tuia, D., Kaiser, C., Kanevski, M. (2008a). Clustering in environmental monitoring networks: dimensional resolutions and pattern detection. In: Soares, A., Pereira, M., Dimitrakopoulos, R. (eds.): Proceedings of the VI International conference GEOENV 2006. pp. 497-509.

Tuia, D., Kanevski, M. (2008). Indoor radon distribution in Switzerland: lognormality and extreme value theory. Journal of Environmental Radioactivity 99(4), 649-657.

Tuia, D., Lasaponara, R., Telesca, L., Kanevski, M. (2008b). Emergence of spatiotemporal patterns in forest-fire sequences. Physica A 387(13), 1689-1694.

Tuia, D., Lasaponara, R., Tonini, M., Algisi, G., Telesca, L., Kanevski, M. (2008c). Quantification of forest fires clustering in space and time: global vs local approaches. In: Geophysical Research Abstracts.

Tuia, D., Pacifici, F., Pozdnoukhov, A., Kaiser, C., Solimini, D., Emery, W. (2008d). Very-high resolution image classification using morphological operators and SVM. In: Proceedings of the Geoscience and Remote Sensing Symposium, IGARSS.

Tuia, D., Ratle, F., Pacifici, F., Pozdnoukhov, A., Kanevski, M., Solimini, D., Del Frate, F., Emery, W. (2008e). Active Learning of Very-high resolution optical imagery with SVM: entropy vs margin sampling. In: Proceedings of the Geoscience and Remote Sensing Symposium, IGARSS.

Tuia, D., Ratle, F., Pacifici, F., Pozdnoukhov, A., Kanevski, M., Del Frate, F., Solimini, D., Emery, W. (2008f). Entropy-based active learning for very-high resolution imagery. In: ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial intelligence for environment and security.

Weston, J., Ratle, F., Collobert, R. (2008). Deep learning via semi-supervised embedding. In: Proc. of the Int. Conference on Machine Learning (ICML 2008).

Buryak, A., Pozdnoukhov, A., Severin, K. (2007). Pattern-based sensing of nucleotides in aqueous solution with a multicomponent indicator displacement assay. Chemical Communications, 23:2366-2368.

Foresti, L., Pozdnoukhov, A., Kanevski, M. (2007). Machine learning algorithms for topo-climatic data modelling. Montreux, Switzerland, 3-7 September 2007. European Colloquium on Theoretical and Quantitative Geography (ECTQG07).

Foresti, L., Pozdnoukhov, A., Kanevski, M. (2007). Topo-climatic data: Analysis, modelling and geovisualization. In Spatial Statistics and GIS conference (StatGIS 2007), Klagenfurt, Austria, 24-26 September 2007.

Foresti, L., Kanevski, M. (2007). Neural Networks and Geostatistics for Mapping of Climatic Data in Mountainous Regions. In Geosciences Union assembly (EGU).

Kaiser, C., Kanevski, M. (2007). Classification and visualization of high-dimensional socio-economic data using self-organizing maps. In Spatial Econometrics Conference, University of Cambridge, UK, 11-14 July 2007.

Kaiser, C., Tuia, D. (2007). La ville et l'urbain : des savoirs mergents, chapter Structuration hiérarchique autosimilaire des rseaux de service suisses : une caractrisation par les lois de puissance. PPUR. 105-120.

Kaiser, C., Tuia, D. (2007). Structuration hiérarchique autosimilaire des réseaux de service suisses : une caractérisation par les lois de puissance. Presses polytechniques et universitaires romandes. Lausanne. 105-120.

Kanevski, M., Maignan, M., Pozdnoukhov, A., Timonin, V. (2007a). Interest Rates Mapping. Submitted to Physica A (Econophysics). page 8.

Kanevski, M., Maignan, M., Timonin, V., Pozdnoukhov, A. (2007b). Classification of Interest Rate Curves Using Self-Organising Maps. Submitted to Physica A (Econophysics). page 8.

Kanevski, M., Maignan, M., Timonin, V., Pozdnoukhov, A. (2007c). Classification of Interest Rates Curves Using Gaussian Mixture Model. In Econophysics Colloquium and beyond, Ancona, Italy., 27-29 September 2007.

Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M. (2007d). Machine Learning and Geostatistics for Multivariate Soil Contamination Mapping. In Geosciences Union assembly (EGU).

Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M. (2007e). Mapping of Environmental Data Using Kernel-Based Methods. Accepted for publications in European Journal of Geography (CyberGeo). page 18.

Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M. (2007f). Robust Nonlinear Mapping of Soil Contamination Using Support Regression. In Annual Conference of International Accociation for Mathematical Geology (IAMG 07), Beijing, China, 25-31 August 2007.

Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M. (2007g). Soil Types Classification and Pollution Mapping with Machine Learning Methods. In Pedometrics.

Pozdnoukhov, A., Foresti, L., Kanevski, M. (2007a). Data-driven topo-climatic mapping with machine learning algorithms. Submitted to Natural Hazards Journal. page 18.

Pozdnoukhov, A., Kanevski, M. (2007a). Interactive Monitoring Network Optimization UsingSsupport Vector Machines. In Spatial Statistics and GIS conference (Stat-GIS 2007), Klagenfurt, Austria, 24-26 September 2007.

Pozdnoukhov, A., Kanevski, M. (2007b). Machine Learning Algorithms for Analysis and Modeling of Geospatial Data. In Annual Conference of International Accociation for Mathematical Geology (IAMG 07), Beijing, China, 25-31 August 2007.

Pozdnoukhov, A., Kanevski, M. (2007c). Multi-Scale Support Vector Regression for Hot Spot Detection and Modeling. Stochastic Environmental Research and Risk Assessment, page 14.

Pozdnoukhov, A., Kanevski, M. (2007d). Support Vector Model Selection for Environmental Mapping. In Geophysical Research Abstracts, volume 9. European Geosciences (EGU).

Pozdnoukhov, A., Kanevski, M., Maignan, M. (2007b). GeoKernels: Modelling of Spatial Data on Natural Manifolds. In European Colloquium on Theoretical and Quantitative Geography (ECTQG 07), Montreux, Switzerland, 3-7 September 2007.

Pozdnoukhov, A., Kanevski, M., Purves, R.S. (2007c). Avalanche Danger Forecasting with Machine Learning Methods. In Geophysical Research Abstracts, volume 9 of 2007. European Geosciences Union (EGU).

Pozdnoukhov, A., Kanevski, M., Timonin, V. (2007d). Prediction of Wind Power Density using Machine Learning Algorithms. In Annual Conference of International Accociation for Mathematical Geology (IAMG07).

Pozdnoukhov, A., Purves, R., Kanevski, M. (2007e). Applying Machine Learning Methods to Avalanche Forecasting. Submitted to Annals of Glaciology (under review). page 8.

Ratle, F. (2007). Spectral Clustering and One-Class Classification: New Tools for Forensic Drug Intelligence. In NATO ASI on Mining Massive Datasets for Security.

Ratle, F., Gagné, C., Terrettaz-Zufferey, A., Kanevski, M., Esseiva, P., Ribaux, O. (2008a). Advanced clustering methods for mining chemical databases in forensic science. Journal of Chemometrics and Intelligent Laboratory Systems 90(2).

Ratle, F., Terrettaz-Zufferey, A.-L., Kanevski, M., Esseiva, P., Ribaux, O. (2007a). A comparison of one-class classifiers for novelty detection in forensic case data. In International Conference on Intelligent Data Engineering and Automated Learning. Springer.

Ratle, F., Terrettaz-Zufferey, A.-L., Kanevski, M., Esseiva, P., Ribaux, O. (2007b). Space-time cluster detection in crime data with scan statistics. In Spatial Econometrics Association Conference.

Ratle, F., Tuia, D. (2007). Ensemble methods for environmental data modelling with support vector regression. In European Colloquium on Theoretical and Quantitative Geography.

Savalieva, E., Shirokova, I., Timonin, V. (2007). Performance of General Regression Neural Network on Sparse Monitoring Networks. In European Colloquium on Theoretical and Quantitative Geography (ECTQG07).

Tapia, R., Chapuis, P., Tuia, D. (2007a). Teledetection, travaux pratiques. Institute de Geomatique et Analyse du Risque. Chapuis, P., Tapia, R. edition. Polycopie, support aux cours de teledetection.

Tapia, R., Kanevski, M., Gruson, M. (2007b). Geostatistical uncertainty quantification for indoor radon risk mapping. In Institute of Geography of the University of Lausanne, editor. European Colloquium of Theoretical and Quantitative Geography. 379-383.

Tapia, R., Kanevski, M., Maignan, M., Gruson, M. (2007c). Quantitative methods for indoor radon data analysis and modelling. In Giornata di studio: Verso La Individuazione Delle Aree a Rischio Radon. REGIONE EMILIA ROMAGNA AGENZIA REGIONALE PREVENZIONE AMBIENTE.

Tapia, R., Timonin, V., Pozdnukhov, A., Kanevski, M., Gruson, M. (2007d). Regional classification of environmental data. In Geosciences Union assembly (EGU).

Tapia, R., Timonin, V., Pozdnukhov, A., Gruson, M. (2007e). Automatic regional classification of environmental data. In European Geosciences Union General Assembly Vienna, Austria, 15-20 April 2007.

Terrettaz-Zufferey, A.-L., Ratle, F., Kanevski, M., Esseiva, P., Ribaux, O. (2007). Pattern detection in forensic case data using graph theory: application to heroin cutting agents. Forensic Science International, 167:242-246.

Tonini, M., Tapia, R., Hamel, F., Chapuis, P., Kanevski, M. (2007). Cours SIG1 et SIG2, Systèmes d'information geographique. Institute de Geomatique et Analyse du Risque, tonini, m. and hamel, f. edition, Janvier 2007. Polycopie, support aux cours SIG.

Tuia, D., Algisi, G., Telesca, L., Lasaponara, R., Kanevski, M. (2007a). Comparison of measures of spatial clustering. The case of forest fires. In European Geoscience Meeting 2007.

Tuia, D., Bavaud, F. (2007). Revealing distances hidden in flows: a formalism for mapping pendular geostatistical distances. In Spatial Econometrics Conference 2007.

Tuia, D., Fasbender, D., Bogaert, P., Kanevski, M. (2007). Bayesian data fusion for image enhancement: and application for infrared aster sensor. In ENST, editor, 2007 Urban Remote Sensing Joint Event.

Tuia, D., Kaiser, C. (2007). From maps to urban morphology: mathematical morphology algorithms for urban features detection. In European conference on quantitative and theoretical geography ECTQG07.

Tuia, D., Kaiser, C., Da Cunha, A., Kanevski, M. (2007). From maps to urban morphology: Mathematical morphology algorithms for urban features detection. In European Conference on Quantitative and Theoretical Geography ECTQG'07, Montreux, Switzerland, 7-11 September 2007.

Tuia, D., Kaiser, C., Da Cunha, A., Kanevski, M. (2007). Socioeconomic cluster detection with spatial scan statistics. case study: Services at intra-urban scale. In Geocomputation 2007, National University of Ireland, Maynooth, 3-5 September 2007.

Tuia, D., Kaiser, C., Kanevski, M. (2007). Clustering in environmental monitoring networks: Dimensional resolutions and pattern detection. In Proceedings of the VI International Conference GEOENV2006, Rhodos, Greece. Springer.

Tuia, D., Lasaponara, R., Telesca, L., Kanevski, M. (2007). Identifying spatial clustering phenomena in forest-fire sequences. Physica A, 376:596-600.

Tuia, D., Lasaponara, R., Telesca, L., Kanevski, M. (2007). Scan statistics analysis of forest fire clusters. In Journal of Communications in Nonlinear Sciences and Numerical Simulations.

Tuia, D., Osss de Eicker, M., Zah, R., Osses, M., Clappier, A. (2007). Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities. In Atmospheric Environment, 41(17):3658-3671.

Kanevski, M., Maignan, M., Tapia, R. (2006). Indoor radon risk mapping using geostatistical simulations. In E. Pirard, A. Dassargues, and H.B. Havenish, editors, XI International Congress for Mathematical Geology, Quantitative Geology from Multiple Sources. International Association for Mathematical Geology.

Kanevski, M., Maignan, M., Tapia, R., Timonin, V., Piller, G., Gruson, M. (2006). Scientific basis for indoor radon atlas. In I. Barnet, M. Neznal, and P. Pacherova, editors, Radon investigations in the Czech Republic XI and the 8th international workshop on the Geological Aspects of Radon Risk Mapping, pages 131-138. Czech Geological Survey, Radon v.o.s., Joint Research Center IES REM Ispra.

Ratle, F., Terrettaz-Zufferey, A.L., Kanevski, M., Esseiva, P., Ribaux, O. (2006). Learning manifolds in forensic data. In International Conference on Artificial Neural Networks. Springer.

Ratle, F., Terrettaz-Zufferey, A.-L., Kanevski, M., Esseiva, P., Ribaux, O. (2006). Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. In Proc. of the 14th European Symposium on Artificial Neural Networks. d-side publi.

Scapozza, C., Tapia, R., Tuia, D. (2006). Remote sensing modelling and visualization of the permafrost distribution in the hautes alpes calcaires (western Switzerland). In 4th Swiss Geoscience Meeting, Bern, pages 173-174.

Scapozza, C., Tapia, R., Tuia, D. (2006). Remote sensing modelling of the permafrost distribution in the hautes alpes calcaires (Switzerland). In SAGEO 2006. Colloque International de Gomatique et d'Analyse Spatiale. Recherches et Développements. Strasbourg, 11-13 septembre 2006.

Tapia, R., Chapuis, P., Kanevski, M. (2006). Cours de Teledetection. Institute de Geomatique et Analyse du Risque, chapuis, p. and tapia, r. edition, 2006. Polycopie, support aux cours de teledetection.

Tapia, R., Kanevski, M., Maignan, M., Gruson, M. (2006). Comprehensive multivariate analysis of indoor radon data in Switzerland. In I. Barnet, M. Neznal, and P. Pacherova, editors, Radon investigations in the Czech Republic XI and the 8th international workshop on the Geological Aspects of Radon Risk Mapping, pages 228-238. Czech Geological Survey, Radon v.o.s., Joint Research Center IES REM Ispra.

Timonin, V., Savelieva, E. (2006). Automatic spatial prediction with general regression neural network. In Geosciences Union assembly (EGU).

Tonini, M., Tuia, D., Tapia, R., Ratle, F. (2006). Forest fires cluster detection with space-time scan statistics. In 4th Swiss Geoscience Meeting, Bern, pages 198-200.

Tuia, D., Kanevski, M. (2006). Indoor radon data monitoring networks: Topology, fractality and validity domains. In International Association for Mathematical Geology XIth International Congress IAMG 2006.

Tuia, D., Kaiser, C., Kanevski, M. (2006). Clustering in environmental monitoring networks: Dimensional resolutions and pattern detection. Accepted for publication in "GeoENV 2006 Proceedings", Springer.

Tuia, D., Kaiser, C., Kanevski, M. (2006). Clustering in environmental monitoring networks: Dimensional resolutions and pattern detection. In GEOENV 2006.

Bevilacqua, P., Lazzarini, M., Kanevski, M. (2005). Multivariate analysis and 3D mapping of contamination in coastal region. International conference of IAMG2005. Toronto 2005. http://www.iamgconference.com/

Kanevski, M., Pozdnukhov, A., Maignan, M. (2005). Active Learning of Environmental Data using Support Vector Machines. International conference of IAMG2005. Toronto 2005. http://www.iamgconference.com/

Kanevski, M., Pozdnukhov, A., Tonini, M., Motelica, M., Savelieva, E., Maignan, M. (2005). Statistical Learning Theory for Geospatial Data. Case study: Aral Sea. European colloquium on Theoretical and Quantitative Geography. Portugal, September 2005. Submitted.

Kanevski, M., Savelieva, E., Timonin, V., Pozdnukhov, A. (2005). Contemporary Trends in Environmental Spatio-Temporal Data Analysis. European conference on environmental modelling. Russia, September 2005. Submitted.

Kanevski, M., Pozdnukhov, A., Tonini, M., Maignan, M., Motelica, M., Savelieva, E. (2005). Statistical Learning Thoery for Geospatial Data. Case Study: Aral Sea. Submitted to 14th European colloquium on Theoretical and Quantitative Geography. Portugal.

Pisarenko, V.F., Lyubushin, A.A., Bolgov, M.V., Rukavishnikova, T.A., Canu, S., Kanevski, M.F., Savelieva, E.A., Dem'yanov, V.V., Zalyapin, I.V. (2005). Statistical Methods for River Runoff Prediction. Water Resources, Vol. 32, No. 2, 2005, pp. 115-126. (Translated from Vodnye Resursy, Vol. 32, No. 2, 2005, pp. 133-145).

Tapia, R., Kanevski, M., Maignan, M., Piller, G., Gruson, M. (2005). Efficient spatial predictors for indoor radon mapping. In 3rd Swiss Geoscience Meeting, Zürich, pages 301-302.

Timonin, V., Savelieva, E. (2005). Prediction of radioactivity using general regression neural network. Applied GIS, 1:13.

Tonini, M., Tapia, R., Hamel, F., Kanevski, M. (2005). Environmental data monitoring and modelling using gis and remote sensing technologies. case study: Aral sea region. In 3rd Swiss Geoscience Meeting, Zrich, pages 313-314, November 2005.