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

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書目名稱ECML PKDD 2018 Workshops被引頻次學(xué)科排名




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書目名稱ECML PKDD 2018 Workshops年度引用學(xué)科排名




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書目名稱ECML PKDD 2018 Workshops讀者反饋學(xué)科排名

蟄伏

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

過(guò)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

羽毛長(zhǎng)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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