Présentations

IDEAL'07: 8th International Conference on Intelligent Data Engineering and Automated Learning
Birmingham (UK), 16-19 December 2007
(http://events.cs.bham.ac.uk/ideal07/)

• Ratle, F., Terrettaz-Zufferey, A.-L., Kanevski, M., Esseiva, P., Ribaux, O.: "A comparison of one-class classifiers for novelty detection in forensic case data".

Econophysics Colloquium and beyond
Ancona (Italy), 27-29 September 2007
(http://econophysics.econ.univpm.it/)

• Kanevski, M., Maignan, M., Timonin, V., Pozdnoukhov, A.: "Classification of interest rates curves using gaussian mixture model."

• Tuia, D., Kaiser, C., Da Cunha, A., Kanevski, M.: "From maps to urban morphology: Mathematical morphology algorithms for urban features detection".

statGIS Conference 2007
Klagenfurt (Austria) - 24-26 September 2007
(http://www.math.uni-klu.ac.at/stat/Tagungen/statgis2007/content.html)

• Ratle, F., Terrettaz, A.-L., Kanevski, M., Esseiva, P., Ribaux., O.: "Learning manifolds in forensic data"

• Foresti, L., Pozdnoukhov, A., Kanevski, M.: "Topo-climatic data: Analysis, modelling and geovisualization".

• Pozdnoukhov, A., Kanevski, M.: "Interactive monitoring network optimizationusing support vector machines".

15th European Colloquium on Theoretical and Quantitative Geography (ECTQG07)
Montreux (Switzerland), 7-11 September 2007
(http://www2.unil.ch/ectqg07/)

• Foresti, L., Pozdnoukhov, A., Kanevski, M.: "Machine learning algorithms for topo-climatic data modelling".

• Pozdnoukhov, A., Kanevski, M., Maignan, M.: "Geokernels: Modelling of spatial data on natural manifolds".

• Ratle, F., Tuia, D.: "Ensemble methods for environmental data".

• Ratle, F., Tuia, D.: "Ensemble methods for environmental data modelling with support vector regression".

• Savalieva, E., Shirokova, I., Timonin, V.: "Performance of general regression neural network on sparse monitoring networks".

• Tapia, R., Kanevski, M., Gruson, M. "Geostatistical uncertainty quantification for indoor radon risk mapping."

• Tuia, D., Kaiser, C.: "From maps to urban morphology: mathematical morphology algorithms for urban features detection".

Geocomputation 2007
NUI Maynooth (Ireland), 3-5 September 2007
(http://ncg.nuim.ie/geocomputation/)

• Tuia, D., Kaiser, C., Da Cunha, A., Kanevski, M.: "Socioeconomic cluster detection with spatial scan statistics. case study: Services at intra-urban scale".

IAMG 2007: Annual Conference of International Accociation for Mathematical Geology
Beijing (China), 25-31 August 2007
(http://www.iamg.org/)

• Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M.: "Robust nonlinear mapping of soil contamination using support regression".

• Pozdnoukhov, A., Kanevski, M.: "Machine learning algorithms for analysis and modeling of geospatial data".

• Pozdnoukhov, A., Kanevski, M., Timonin, V.: "Prediction of wind powerdensity using machine learning algorithms".

Spatial Econometrics Conference
Cambridge (UK) - 11-14 July 2007
(http://www.sea2007.com/)

• Kaiser, C., Kanevski, M.: "Classification and visualization of high-dimensional socio-economic data using self-organizing maps".

• Ratle, F., Terrettaz-Zufferey, A.-L., Kanevski, M., Esseiva, P., Ribaux, O.: "Space-time cluster detection in crime data with scan statistics".

• Tuia, D., Bavaud, F.: "Revealing distances hidden in flows: a formalism for mapping pendular geostatistical distances".

European Geosciences Union General Assembly
Vienna, Austria, 15-20 April 2007
(http://meetings.copernicus.org/egu2007/)

• Foresti, L., Kanevski, M.: "Neural Networks and Geostatistics for Mapping of Climatic Data in Mountainous Region".

• Kanevski, M., Pozdnoukhov, A., Timonin, V., Maignan, M.: "Machine learning and geostatistics for multivariate soil contamination mapping".

• Pozdnoukhov, A., Kanevski, M.: "Support vector model selection for environmental mapping".

• Pozdnoukhov, A., Kanevski, M., Purves, R.S.: "Avalanche danger forecasting with machine learning methods".

• Tapia, R., Timonin, V., Pozdnukhov, A., Kanevski, M., Gruson, M.: "Regional classification of environmental data".

• Tapia, R., Timonin, V., Pozdnukhov, A., Gruson, M.: "Automatic regional classification of environmental data".

• Tuia, D., Algisi, G., Telesca, L., Lasaponara, R., Kanevski, M.: "Comparison of measures of spatial clustering. The case of forest fires".

4th Swiss Geoscience Meeting
Berne (Switzerland), 24-25 November 2006
(http://geoscience-meeting.scnatweb.ch/sgm2006/)

• Scapozza, C., Tapia, R., Tuia, D.: "Remote sensing modelling and visualization of the permafrost distribution in the hautes alpes calcaires (western Switzerland)".

• Tonini, M., Tuia, D., Tapia, R., Ratle, F.: "Forest fires cluster detection with space-time scan statistics".

GeoENV 2006: 6th International conference on Geostatistics for Environmental Applications
Rhodos (Greece), 25-27 October 2006
(http://geoenvia.org/geoENV2006/)

• Tuia, D, Kanevski, M., Kaiser, C.: "Clustering of Environmental Monitoring Networks: Dimensional Resolutions and Patterns Detection"

8th International workshop on the Geological aspects of Radon Risk Mapping
Prague (Czech Republic), 26-30 September 2006
(http://radonmapping.jrc.it/fileadmin/Documents/WorkingDocuments/Conferences/Prague2006_2nd.pdf)

• Tuia, D., Kanevski, M., Maignan, M., Timonin, V., Gruson, M., Piller, G.: "Extreme Value Theory for Indoor Radon Distributions"

SaGEO 2006: International Conference on Spatial Analysis and GEOmatics
Strasbourg (France), 11-13 September 2006
(http://sageo.u-strasbg.fr/)

• Scapozza, C., Tapia, R., Tuia, D.: "Remote sensing modelling of the permafrost distribution in the hautes alpes calcaires (Switzerland)".

ICANN 2006: International Conference on Artificial Neural Networks
Athens, Greece - 10-14 September 2006
(http://icann2006.org/chapter1/)

• Ratle, F., Terrettaz, A.-L., Kanevski, M., Esseiva, P., Ribaux., O.: "Learning manifolds in forensic data"

IAMG 2006: Quantitative Geology from Multiple Sources
Liège, Belgium - 3-8 September 2006
(http://www.geomac.ulg.ac.be/iamg06/)

• Tuia, D., Kanevski, M.: "Indoor Radon Data Monitoring Networks: Topology, Fractality and Validity Domains"

International Workshop on Spatial Econometrics and Statistics
Rome (Italy), 25-27 May 2006
(http://www.unich.it/conferencerome2006/)

• Kanevski, M., Maignan, M.: "Empirical Analysis and Mapping of Interest Rates".

ESANN'2006: European Symposium on Artificial Neural Networks
Bruges (Belgium), 26-28 April 2006
(http://www.dice.ucl.ac.be/esann)

• Ratle, F., Terrettaz, A.-L., Kanevski, M., Esseiva, P., Ribaux., O.: " Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms"

European Geosciences Union General Assembly
Vienna, Austria, 02-07 April 2006
(http://meetings.copernicus.org/egu2006/)

• Kanevski, M., Maignan, M.: "Large Scale Mapping of Radioactively Contaminated Territories"

• Pozdnukhov, A., Kanevski, M.: "Multi-Scale Support Vector Regression for Automatic Mapping and Spatial Novelty Detection"

• Timonin V., Savelieva, E.: "Automatic Spatial Prediction with General Regression Neural Network (GRNN)".

3rd Swiss Geoscience Meeting
Zürich, 18-19 November 2005
(http://geoscience-meeting.scnatweb.ch/sgm2005/index.html)

• Kanevski, M., Maignan, M.: "Review of advanced approaches for the analysis and modelling of spatio-temporal environmental and pollution data". Oral presentation

• Tapia, R., Kanevski, M., Maignan, M., Piller, G., Gruson, M.:"Efficient spatial predictors for indoor radon mapping". Oral presentation

• Tonini, M., Tapia, R., Hamel, F., Kanevski, M.:"Environmental data monitoring and modelling using GIS and remote sensing technologies. Case study: Aral Sea region". Poster

Workshop "The Analysis of Patterns"
Erice (Italy), October-November 2005
(http://www.analysis-of-patterns.net/)

• Kanevski, M., Pozdnukhov, A.: "Kernels for Environmental Applications: Achievements and Questions". Poster

• Ioset, S., Terrettaz, A.-L., Ribaux, O., Esseiva, P., Kanevski, M., Weyermann, C.: "Recognition of Patterns in Forensic Drug Case Data in an Intelligence and Crime Analysis Perspective". Poster

14th European Colloquium on Theoretical and Quantitative Geography
Tomar (Portugal), 9-13 September 2005
(http://e-geo.fcsh.unl.pt/ectqg2005/home.asp)

• Kanevski, M., Pozdnukhov, A., Tonini, M., Maignan, M., Motelica, M., Savelieva, E.: "Statistical Learning Theory for Geospatial Data. Case study: Aral Sea". Oral presentation