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Analysis of a Random Forests Model
Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees that grow in randomly selected... -
Dynamic Random Forests
International audience -
Uncertainty modeling on aircraft trajectories
In this thesis we propose probabilistic and statistic models based on multidimensional data for forecasting uncertainty on aircraft trajectories. Assuming that during... -
A new random forest method for one class classification
International audience -
A random forest based approach for one class classification in medical imaging
International audience -
Spatial random forests for brain lesions segmentation in MRIs and model-based...
The large size of the datasets produced by medical imaging protocols contributes to the success of supervised discriminative methods for semantic labelling of images.... -
Classification Automatique d'Images, Application à l'Imagerie du Poumon Profond
This thesis deals with automated image classification, applied to images acquired with alveoscopy, a new imaging technique of the distal lung. The aim is to propose...
