Jean-Philippe Malet

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Surface fissures are important indicators for slope instability and their patterns reveal information about the distribution of strain and mechanical processes. The increasing availability of sub-decimeter resolution aerial images may enable the detection and mapping of such features with imagery. This study combines Gaussian matched filters and first order(More)
—Active learning (AL) algorithms have been proven useful in reducing the number of required training samples for remote sensing applications; however, most methods query samples pointwise without considering spatial constraints on their distribution. This may often lead to a spatially dispersed distribution of training points unfavorable for visual image(More)
BACKGROUND Aberrant global DNA methylation is shown to increase cancer risk. LINE-1 has been proven a measure of global DNA methylation. The objectives of this study were to assess the association between LINE-1 methylation level and bladder cancer risk and to evaluate effect modification by environmental and genetic factors. METHODS Bisulphite-treated(More)
  • S Kudriakov, F Dabbene, E Studer, A Beccantini, J P Magnaud, H Pailì Ere +4 others
  • 2006
The French Atomic Energy Commission (CEA) and the Radiation protection and Nuclear Safety Institute (IRSN) are developing a hydrogen risk analysis code (safety code) which incorporates both lumped parameter (LP) and computational fluid dynamics (CFD) formulations. In this paper we present the governing equations, numerical strategy and schemes used for the(More)
  • H J Allelein, K Fischer, J Vendel, J Malet, E Studer, S Schwarz +3 others
  • 2007
The ISP-47 programme was carried out in two steps: Step BLOCKIN1 BLOCKINwas BLOCKINdedicated BLOCKINto BLOCKINcode BLOCKINvalidation BLOCKINusing BLOCKINtest data from the separate effects facility TOSQAN (7 m 3 volume) and the larger-scale MISTRA facility (100 m 3 volume). In the TOSQAN tests, wall condensation, steam injection in air or BLOCKINair/helium(More)
Active learning (AL) is a powerful framework to reduce labeling costs in supervised classification. However, spatial constraints on the sampling design have not yet received much attention and still pose problems for the application of AL on remote sensing data. In this study such issues are addressed in the context of landslide inventory mapping and it is(More)
Spatial analysis and GIS technology are still seldom used to evaluate and map landslide risk. Especially, few studies concern the automatic mapping of landslide risk at large scales (1:10,000) corresponding to the scale of the legal regulation plans in France. Maquaire et al., Analyse spatiale du risque « glissement de terrain » 2 This paper presents a(More)
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