Search results for "methodologies"
showing 10 items of 2106 documents
Spatial coherence of agronomic boreal monsoon onset over Western and Central Sahel (1950-2000).
2007
Poster Presentation
How to manage and analyse a large biodiversity data set: the case of the regional ‘RMQS Biodiv' experience
2008
posterFR2116poster
Biotic control of Atrazine degradation in soils: Impacts of earthworms on atrazine-degrading bacterial communities.
2006
PosterFR2116Poster
Herbicide degradation in temperate soils : effects of earthworms interaction with indigenous and atrazine degrading bacterial communities
2005
poster
Tumoral lymphocyte immune response to preoperative radiotherapy in locally advanced rectal cancer as a prognostic factor for survival: the LYMPHOREC …
2015
Présentation Poster; International audience; Background: Short-course preoperative radiotherapy (sc-preopRT) and long-course preoperative radiotherapy (lc-preopRT) followed by total mesorectal excision (TME) are worldwide standards of care in locally advanced T3–4 N0 or N1 rectal adenocarcinoma. It is now well established that the host immune system participates in the elimination of tumor cells and that significant tumor infiltration by T-cells (LT), such as CD8+, is associated with a better prognosis. In colorectal tumors, the infiltration of Treg FoxP3+ is also described as a prognostic factor associated with better survival. We aimed to investigate the impact of the immune response to p…
Analysis of the Spectrum of Ethylene in the 800–1500 cm-1 Region Using Tensorial Formalism: Frequencies and Intensities
2006
Poster
Le grand débat national, une aide pour prendre des décisions locales?
2021
The Great National Debate, decided by Emmanuel Macron at the beginning of 2019 to respond to the Yellow Vests social movement, allowed the collection of citizens’ contributions on the ecological transition via an online platform. In this article, we use the corpus constituted by these contributions to identify areas where participants are asking for the development of bicycle paths and railway facilities. For this purpose, we have created a classification model to identify contributions dealing with the theme of transportation and proposed a method for extracting patterns that reflect the contributors’ proposals. We then represented these patterns on maps, using the contributors’ postal cod…
Incorporating depth information into few-shot semantic segmentation
2021
International audience; Few-shot segmentation presents a significant challengefor semantic scene understanding under limited supervision.Namely, this task targets at generalizing the segmentationability of the model to new categories given a few samples.In order to obtain complete scene information, we extend theRGB-centric methods to take advantage of complementary depthinformation. In this paper, we propose a two-stream deep neuralnetwork based on metric learning. Our method, known as RDNet,learns class-specific prototype representations within RGB anddepth embedding spaces, respectively. The learned prototypesprovide effective semantic guidance on the corresponding RGBand depth query ima…
Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR
2021
International audience; In medical image segmentation, several studies have used Bayesian neural networks to segment and quantify the uncertainty of the images. These studies show that there might be an increased epistemic uncertainty in areas where there are semantically and visually challenging pixels. The uncertain areas of the image can be of a great interest as they can possibly indicate the regions of incorrect segmentation. To leverage the uncertainty information, we propose a segmentation model that incorporates the uncertainty into its learning process. Firstly, we generate the uncertainty estimate (sample variance) using Monte-Carlo dropout during training. Then we incorporate it …
Sub-optimal waypoints, UAV path planning and mosaicing application
2016
International audience; Create a complete system of video surveillance using camera mounted on a robot like UAV to maintain optimized vast area coverage and reconstruct an image by using mosaicing techniques. This paper demonstrated the efficiency of using one UAV to cover vast area using optimized positions.