Michel Maignan

Publications | Mémoires et thèses

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45 publications

2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2001 | 1999 | 1998 | 1997 | 1996 | 1994 | 1978 |
2009
 
Detection of Patterns in Multivariate Financial Data
Kanevski M., Timonin V., Maignan M., Pozdnoukhov A., 2009. dans Hitotsubashi Interdisciplinary Conference New Approaches to the Analysis of Large-Scale Business and Economic Data, APFA, Tokyo, Japan, Springer Berlin Heidelberg.
[DOI][serval:BIB_037874A3673A]
 
Machine Learning of Interest Rates
Kanevski M., Timonin V., Pozdnoukhov A., Maignan M., 2009. dans Econophysics conference, Erice, Italy.
[serval:BIB_7024834CE0AE]
 
Regional Classification of Indoor Radon Data with Support Vector Machines and Geostatistical Tools
Chaouch A., Kanevski M., Pozdnoukhov A., Maignan M., Rodriguez J., Piller G., 2009. pp. 65-77 dans Pilz J. (eds.) Interfacing Geostatistics and Geographic information system, Springer Berlin Heidelberg.
[DOI][serval:BIB_3711482D920D]
2008
 
Geostatistics: Spatial predictions and simulations
Savelieva E, Demyanov V., Maignan M., 2008. pp. 47-94 dans Kanevski M. (eds.) Advanced mapping of environmental data: Geostatistics, and bayesian maximum entropy, ISTE Ltd and Wiley Press.
[DOI][serval:BIB_294A166E463E]
 
Interest rates mapping
Kanevski M., Maignan M., Pozdnoukhov A., Timonin V., 2008. Physica A - Statistical Mechanics and its Applications, 387 pp. 3897-3903. Peer-reviewed.
[DOI][serval:BIB_EC13F1FCADFE]
2007
 
Classification of Interest Rates Curves Using Gaussian Mixture Model
Kanevski M., Maignan M., Timonin V., Pozdnoukhov A., 2007. p. 8 dans Econophysics Colloquium and beyond, Ancona, Italy, 27-29 September.
[serval:BIB_BA91C347F8D4]
 
GeoKernels: Modelling of spatial data on natural manifolds
Pozdnoukhov A., Kanevski M., Maignan M., 2007. dans European Colloquium on Theoretical and Quantitative Geography, Montreux, Switzerland, 3-7 September.
[serval:BIB_164729628325]
 
Mapping of Environmental Data Using Kernel-Based Methods
Kanevski M., Pozdnoukhov A., Timonin V., Maignan M., 2007. Revue Internationale de Géomatique, 17 pp. 309-331. Peer-reviewed.
[DOI][serval:BIB_7373B543D8DB]
 
Robust Nonlinear Mapping of Soil Contamination Using Support Regression
Kanevski M., Pozdnoukhov A., Timonin V., Maignan M., 2007. dans Annual Conference of International Accociation for Mathematical Geology, Beijing, China, International Accociation for Mathematical Geosciences.
[serval:BIB_E9CAD4B7CCCC]
 
Soil Types Classification and Pollution Mapping with Machine Learning Methods
Kanevski M., Pozdnoukhov A., Timonin V., Maignan M., 2007. Pedometrics. Peer-reviewed.
[serval:BIB_FEC2E19F10AB]
2006
 
Indoor radon risk mapping using geostatistical simulations
Kanevski M., Maignan M., Tapia R., 2006. dans Pirard E., Dassargues A., Havenish H.B. (eds.) XI International Congress for Mathematical Geology, Quantitative Geology from Multiple Sources, Liège, Belgium, International Association for Mathematical Geology.
[serval:BIB_BBB358C531E6]
 
Scientific basis for indoor radon atlas
Kanevski M., Maignan M., Tapia R., Timonin V., Piller G., Gruson M., 2006. pp. 131-138 dans Barnet I., Neznal M., Pacherova P. (eds.) Radon investigations in the Czech Republic XI and the 8th international workshop on the Geological Aspects of Radon Risk Mapping, Joint Research Center IES REM Ispra.
[serval:BIB_F8BA21A588DD]
2005
 
Statistical learning theory for geospatial data. Case study: Aral sea
Kanevski M., Pozdnukhov A., Tonini M., Maignan M., Motelica M., Savelieva E., 2005. pp. 161-162 dans European colloquium on Theoretical and Quantitative Geography, Tomar, Portugal.
[serval:BIB_82C513F40F89]
2004
 
Analysis and Modelling of Spatial Environmental Data
Kanevski M., Maignan M., 2004. 304, EPFL Press.
[serval:BIB_D8C0132E6926]
 
Environmental data mining and modeling based on machine learning algorithms and geostatistics
Kanevski M., Parkin R., Pozdnukhov A., Timonin V., Maignan M., Demyanov V., Canu S., 2004. Environmental Modelling and Software, 19 pp. 845-855. Peer-reviewed.
[DOI][serval:BIB_F3AEFEC8F828]
2003
 
Advanced geostatistical and machine-learning models for spatial data analysis of radioactively contaminated regions
Kanevski M., Demyanov V., Pozdnukhov A., Parkin R., Savelieva E., Timonin V., Maignan M., 2003. Environmental Science and Pollution Research, SI pp. 137-149. Peer-reviewed.
[serval:BIB_BA7EC9909C35]
2001
 
Wavelet analysis residual kriging vs. neural network residual kriging
Demyanov V., Soltani S., Kanevski M., Canu S., Maignan M., Savelieva E., Timonin V., Pisarenko V., 2001. Stochastic Environmental Research and Risk Assessment, 15 pp. 18-32. Peer-reviewed.
[DOI][serval:BIB_6577F4AEC874]
1999
 
Environmental and pollution spatial data classification with support vector machines and geostatistics
Gilardi N., Kanevski M., Maignan M., Mayoraz E., 1999. pp. 43-51 dans Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications.
[serval:BIB_13299]
1998
 
Concept and implementation for a regional environmental reporting - Aral Sea coastal Region
Maignan M., Kuksenko V., Shilov A., Kiselev V., Seversky I., 1998. pp. 65-74 dans Environmental Engineering, Wessex Institute of Technology.
[DOI][serval:BIB_5697]
 
Conditional stochastic cosimulations of the Chernobyl fallout
Kanevski M., Demyanov V., Savelieva E., Chernov S., Maignan M., 1998. dans Gomez-Hernandez J., Soares A.O., Froidevaux R. (eds.) GeoENV II - Geostatistics for Environmental Application, Kluwer Academic Publishers.
[serval:BIB_5686]
 
Distribution and fall-out of 137Cs and other radionuclides over Antarctica
Pourchet M., Bartarya S.K., Maignan M., Pinglot J.F., Aristarain A.J., Furdada G., Kotlyakov V.M., Mosley-Thompson E., Preiss N., Young N.W., 1998. Journal of Glaciology, 43 pp. 435-445. Peer-reviewed.
[serval:BIB_5681]
 
Environmental spatial data analysis with Geostat Office Software.
Kanevski M., Demyanov V., Chernov S., Savelieva E., Timonin V., Maignan M., 1998. pp. 161-166 dans Buccianti A. Nardi G. et Potenza R. (eds.) Proceeding if the Fourth Annual Conference of the International Association for Mathematical Geology, Napoli.
[serval:BIB_9266]
 
Geostat office for environmental and pollution spatial data analysis
Kanevski M., Demyanov V., Chernov S., Savelieva E., Serov A., Timonin V., Maignan M., 1998. Mathematische Geologie, 3 pp. 1-12. Peer-reviewed.
[serval:BIB_9274]
 
GRNN or IRF-K estimation for the Swiss soils artificialand natural radionuclides content.
Allen O., Maignan M., 1998. pp. 340-346 dans Proceedings of IAMG'98.
[serval:BIB_9142]
1997
 
Chernobyl Fallout: Review of Advanced Spatial Data Analysis
Kanevski M., Arutyunyan R., Bolshov L., Chernov S., Demyanov V., Koptelova N., Linge I., Savelieva E., Haas T., Maignan M., 1997. pp. 389-400 dans Soares A., Gomez-Hernandez J., Froidevaux R. (eds.) GeoENV I - Geostatistics for Environmental Application, Kluwer Academic Publishers.
[serval:BIB_5687]
 
Development of an information modeling system for Aral sea coastal region
Kiselev V.P., Arutunyan R.V., Le Coustumer P., Collet C., Kanevski M., Kuksenko V.F., Maignan M., Semin N.N., 1997. dans Ecosystems and Sustainable Development. Peer-reviewed, Wessex Institute of Technology.
[DOI][serval:BIB_5695]
 
Environmental decision-oriented mapping with algorithms imitating nature
Kanevski M., Maignan M., Demyanov V., Maignan M.F., 1997. pp. 520-526 dans Pavlovsky-Glahn V. (eds.) Proceedings of the Third Annual Conference of the International Association for Mathematical Geology. Peer-reviewed, Cimne.
[serval:BIB_5690]
 
Geostatistical portrayal of the Chernobyl accident
Kanevski M., Arutyunyan R., Bolshov L., Demyanov V., Linge I., Savelieva E., Shershakov V., Haas T., Maignan M., 1997. Quantitative Geology and Geostatistics, 8 pp. 1043-1054. Peer-reviewed.
[serval:BIB_5696]
 
How neural network 2-D interpolations can improve spatial data analysis: neural network residual kriging (NNRK)
Kanevski M., Maignan M., Demyanov V., Maignan M.F., 1997. pp. 5549-5554 dans Pavlovsky-Glahn V. (eds.) Proceedings of the Third Annual Conference of the International Association for Mathematical Geology. Peer-reviewed, Cimne.
[serval:BIB_5688]
 
Incremental neural networks for function approximation
Chentouf R., Jutten C., Maignan M., Kanevski M., 1997. Nuclear Instruments and Methods in Physics Research Section A - Accelerators, Spectrometers, Detectors, and Associated Equipment, 389 pp. 268-270. Peer-reviewed.
[DOI][serval:BIB_84D9B8745359]
 
Integration of GIS and geostatistics: A software and a case study.
Krivoruchko K., Maignan M., 1997. pp. 925-932 dans Proceedings 18th ICA/ACI International Cartographic Conference, Stockholm, Sweden..
[serval:BIB_5677]
 
Multilayer perceptron with local constraint as an emerging method in spatial data analysis
De Bollivier M., Dubois G., Maignan M., Kanevski M., 1997. Nuclear Instruments and Methods in Physics Research Section A - Accelerators, Spectrometers, Detectors, and Associated Equipment, 389 pp. 226-229. Peer-reviewed.
[DOI][serval:BIB_0D845F3DC4FF]
 
RBF Radial Basis Function Neural Networks: a new method for spatial interpolation
Shibli S., Wong P., Maignan M., 1997. Journal APPEA Petroleum Engineers. Peer-reviewed.
[serval:BIB_5680]
 
Spatial estimations and and simulations of environmental data by using geostatistics and artificial neural networks
Kanevski M., Demyanov V., Maignan M., 1997. pp. 527-532 dans Pavlovsky-Glahn V. (eds.) Proceedings of the Third Annual Conference of the International Association for Mathematical Geology. Peer-reviewed, Cimne.
[serval:BIB_5689]
1996
 
A neural network approach for spatial mapping
Wong P., Shibli S., Maignan M., 1996. Quantitative Geology and Geostatistics, 8 pp. -. Peer-reviewed.
[serval:BIB_5679]
 
Artificial Neural Networks and Geostatistics for Environmental Mapping.
Kanevski M., Haas T., Maignan M et al. , 1996. dans Artificial Intelligence in Engineering.
[serval:BIB_5678]
 
Artificial neural networks and spatial estimation of Chernobyl fallout
Kanevski M., Arutyunyan R., Bolshov L., Demyanov V., Maignan M., 1996. Geoinformatics, 7 pp. 5-11. Peer-reviewed.
[serval:BIB_4904]
 
Eléments simples d'identification d'anomalies géochimiques par statistique: aspects miniers et environnementaux.
Jaboyedoff M., Bauchau C., Maignan M., 1996. Bulletin de la Société Vaudoise des Sciences Naturelles, 84 pp. 73-108. Peer-reviewed.
[DOI][serval:BIB_4885]
 
Environmental decision support system on base of geoinformational technologies for the analysis of nuclear accident consequences
Arutyunyan R.V., Bolshov L.A., Demianov V.V., Glushko A.V., Kabalevski S.A., Kanevski M., Kiselev V.P., Koptelova N.A., Krylov S.F., Linge I.I. et al., 1996. pp. 539-542 dans The radiological consequences of the Chernobyl accident.
[serval:BIB_4873]
 
Neural network 2-D interpolations for spatial data analysis: Neural network residual kriging (NNRK)
Maignan M., Kanevski M., Demianov V., 1996. dans Canu S. (eds.) Artificial Intelligence in Engineering AIENG'96.
[serval:BIB_5691]
 
Neural network time-series analysis and prediction for radioactivity monitoring
Kanevski M., Maignan M., Kuksenko V., 1996. dans Canu S. (eds.) Proceedings od the AIHENP'96.
[serval:BIB_5692]
 
Neural networks and other flexible regression estimators for spatial interpolation
Soltani S., Maignan M., Kanevski M., 1996. dans Canu S. (eds.) Artificial Intelligence in Engineering AIENG'96.
[serval:BIB_5693]
 
Soil Pollution: environmental integrated systems and prediction mapping
Kanevski M., Arutyunyan R., Bolshov L., Demyanov V., Kabalevskiy S., Kanevskaya E., Kiselev V., Koptelova N., Linge I., Martynenko E. et al., 1996. pp. 47-56 dans Development and Application of Computer Techniques to Environmental Studies, Computational Mechanics Publications.
[serval:BIB_5698]
1994
 
Geostatistical determination of heavy-metal distribution in a contaminated site - A case study
Flamm C., Celardin F., Maignan M., Chabbey L., Chatenoux L., 1994. Archives des Sciences, 47 pp. 207-217. Peer-reviewed.
[serval:BIB_9DCF4E2743FD]
1978
 
Workshop on deposit modeling
Hansen M.V., Botbol J.M., Eckstrand O.R., Gaal G., Maignan M., Pantazis T., Sindinglarsen R., 1978. Journal of the International Association for Mathematical Geology, 10 pp. 519-531. Peer-reviewed.
[DOI][serval:BIB_84C6730CFD75]
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