Titlebook: ECML PKDD 2018 Workshops; Nemesis 2018, UrbRea Carlos Alzate,Anna Monreale,Mathieu Sinn Conference proceedings 2019 Springer Nature Switzer

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书目名称ECML PKDD 2018 Workshops影响因子(影响力)




书目名称ECML PKDD 2018 Workshops影响因子(影响力)学科排名




书目名称ECML PKDD 2018 Workshops网络公开度




书目名称ECML PKDD 2018 Workshops网络公开度学科排名




书目名称ECML PKDD 2018 Workshops被引频次




书目名称ECML PKDD 2018 Workshops被引频次学科排名




书目名称ECML PKDD 2018 Workshops年度引用




书目名称ECML PKDD 2018 Workshops年度引用学科排名




书目名称ECML PKDD 2018 Workshops读者反馈




书目名称ECML PKDD 2018 Workshops读者反馈学科排名

蛰伏

Smart Cities with Deep Edgesreported data to remove identifiable information to keep the user anonymous before sending it to the cloud. This multi-stage analytics allows for initial urban reasoning on a city wide scale for deriving context information with additional analytics in the cloud focusing on certain domain challenges

craven

过剩

Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Poteaper, we propose an approach using support vector machine for regression to select not only the geographic areas but also the number of to-be-added nurses in these areas for the biggest reduction of potentially avoidable hospitalizations. In this approach, besides considering all the potential facto

羽毛长成

SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administrationget and cash management, public service accounts, salaries, disbursement, grants, subsidies, etc. The project has already resulted in an initial prototype (.) successfully tested by the governing bodies of Valencia, in Spain.

人工制品

人工制品

Agustín Vicente,Fernando Martínez-Manriquer detection technique on MNIST and CIFAR-10, achieving a high success rate for various adversarial attacks including FGSM, DeepFool, CW, PGD. We also show that training the detector model with attribution of adversarial examples generated even from a simple attack like FGSM further increases the det

DAUNT

食品室

3. Systems with Slowly Varying Coefficients,he state of Maharashtra (India) to predict and visualize urban LULC changes over the past 14 years. We observe that the HMM integrated model has improved prediction accuracy as compared to the corresponding MC integrated model.

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