Titlebook: Distributed Computing and Artificial Intelligence, 17th International Conference; Yucheng Dong,Enrique Herrera-Viedma,Sara Rodríguez Confe

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书目名称Distributed Computing and Artificial Intelligence, 17th International Conference影响因子(影响力)学科排名




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书目名称Distributed Computing and Artificial Intelligence, 17th International Conference网络公开度学科排名




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书目名称Distributed Computing and Artificial Intelligence, 17th International Conference被引频次学科排名




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书目名称Distributed Computing and Artificial Intelligence, 17th International Conference年度引用学科排名




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书目名称Distributed Computing and Artificial Intelligence, 17th International Conference读者反馈学科排名

自然环境

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athlete’s-foot

Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles,cy) in order to assess the confidence in the value of a feature, and to select the values that are most plausible. We show that it enables to handle various difficult situations (attacks, failures, etc.), by maintaining a coherent scene at any time despite possibly major defects.

创新

Comparative Analysis Between Different Automatic Learning Environments for Sentiment Analysis,periments were carried out using 3 automatic classifiers: Support Vector Machine (SVM), Naïve Bayes and Multinomial Naïve Bayes, each one being tested with the three data sets in the Weka automatic learning software and in Python, in order to make a comparison of results between these two tools.

Hiatal-Hernia

Hiatal-Hernia

Geoffrey Lee Williams,Alan Lee Williamsith his development described. The model predicts a high number of false positives, therefore low precision and F-score, but a high 88.4% accuracy and 0.81 AUROC (Area under the Receiver Operating Characteristic).

eulogize

Geoffrey Lee Williams,Alan Lee Williams We improved the performance of the model using the focal loss as the loss function of the classifier. As a result, the effectiveness of the proposed model was confirmed on multiple datasets with different ratios of data in each class.

Contend

The European Economy in 100 Quoteslemented multi-agent systems. In order to devise a quantitative comparison, the two considered languages are used to solve the same coordination problem, and obtained implementations are compared to discuss advantages and drawbacks of the two approaches.

VICT