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Lightweight Automatic Error Detection by Monitoring Collar Variables error detection. Results show a reduction of 52.04% on average in the number of monitored variables, while still maintaining a good detection rate with only 3.21% of executions detecting non-existing errors (false positives) and 5.26% not detecting an existing error (false negatives).

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Campaigning on Facebook in the 2019 European Parliament ElectionInforming, Interacti

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https://doi.org/10.1007/978-3-030-71115-3Semantic Web; Enterprise Decision-Making; Computational Intelligence; Artificial Intelligence; Intellige

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