253 research outputs found
PROPOSAL FOR A STEP OF SELECTION SUPPORT OF BEST PRACTICES FOR THE PILOTING OF THE E-MARKETING PROJECTS
With 1.8 billion investments on the web in the first semester of 2008, being 14.7% of publicity investments , E-marketing is a discipline which is in the middle of media strategies. However, the evolutions of internet and of e-marketing tools have developed a discipline becoming increasingly complex to understand.Although there are still many different methods of piloting, essentially based on the measure via the discipline of the Web Analytics, it’s difficult today to predict e-marketing actions to set up to make fluctuate key performance indicators of web site and active e-marketing lever statistic auditing solution. However it is starting from these indicators that success is measured and that the profits of the online activities are maximized. Thus we propose through this article, a method of qualification of the Best Practices in order to assist the online marketers in the choice and the selection of those to improve the performance of a site and associated actions E-Marketing.e-Marketing, best practices, technological watch, innovative indicators, knowledge management, decision making.
ARE FRUIT AND VEGETABLE STAMP POLICIES COST-EFFECTIVE?
In many countries, consumption of fruits and vegetables (F&V) is below recommended levels. We quantify the economic and health effects of F&V stamp policy designed for low income consumers. The analysis combined two models: an economic model which predicts how F&V consumption is affected by a change in policy and a health model which evaluates the impact of a change in F&V consumption in terms of death avoided (DA) and life-years saved (LYS). Finally we computed the costs per DA and LYS as the ratio between the taxpayer cost of the policy and the number of DA and LYS. The main findings of the present study are: (1) F&V stamp policy has a positive and significant impact on the consumption of small F&V consumers of the targeted population, (2) at the aggregate level, this policy has a modest impact on consumption and as a result on health gains, (3) for a given budget allocated to the policy, the cost per DA or LYS decreases when the targeting is smaller, at least as long as consumption remains in plausible values, (4) the policy reduces the health inequalities between low and high income populations, (5) when well designed, F&V stamp policy is as cost-effective as price policy (about 42 k€/LYS).Cost-effectiveness analysis, Fruits and Vegetables, Health Impact Assessment, Health Policy, Agricultural and Food Policy, Consumer/Household Economics, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Health Economics and Policy, D61, I18, Q18,
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets
International audienceAnnotation of medical images for semantic segmentation is a very time consuming and difficult task. Moreover, clinical experts often focus on specific anatomical structures and thus, produce partially annotated images. In this paper, we introduce SMILE, a new deep con-volutional neural network which addresses the issue of learning with incomplete ground truth. SMILE aims to identify ambiguous labels in order to ignore them during training, and don't propagate incorrect or noisy information. A second contribution is SMILEr which uses SMILE as initialization for automatically relabeling missing annotations, using a curriculum strategy. Experiments on 3 organ classes (liver, stomach, pancreas) show the relevance of the proposed approach for semantic seg-mentation: with 70% of missing annotations, SMILEr performs similarly as a baseline trained with complete ground truth annotations
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