Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021

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aviator

Government Action to Tackle Obesityd; in the second strategy an ensemble model is developed from BERT variants, and in the third strategy a compressed model (Distil BERT) is used. The experimental results show that the BERT based ensemble approach and the compressed BERT model attain improvements by 6–12% over prevailing tools for th

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Scalable Tabular Metadata Location and?Classification in Large-Scale Structured?Datasetsle dataset containing more than 15 million tables coming from more than 26 thousands of sources to justify scalability and resistance to heterogeneity, stemming from a large number of sources. We observed superiority of this two-layer ensemble, compared to the recent previous approaches and report a

Clinch

上下倒置

strain

A Quantum-Inspired Neural Network Model for Predictive BPaaS Managementenetic Algorithm, in order to optimize the accuracy of the predicted resource utilization. Second, we define a placement algorithm that, based on the prediction results, chooses the optimal cloud availability zones for each BPaaS fragment, i.e. under-loaded servers. We evaluated our approach using r

spondylosis

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BERT-Based Sentiment Analysis: A Software Engineering Perspectived; in the second strategy an ensemble model is developed from BERT variants, and in the third strategy a compressed model (Distil BERT) is used. The experimental results show that the BERT based ensemble approach and the compressed BERT model attain improvements by 6–12% over prevailing tools for th