Titlebook: Computer Science – CACIC 2017; 23rd Argentine Congr Armando Eduardo De Giusti Conference proceedings 2018 Springer International Publishing

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Learning , to Classify for Early Text Classificationits applicability. One of such scenarios is ., where one needs to know the category of a document as soon as possible. The importance of this variant of the classification problem is evident in tasks like sexual predator detection, where one wants to identify an offender as early as possible. This p

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Analysis of RAPL Energy Prediction Accuracy in a Matrix Multiplication Application on Shared Memorylel and distributed computing has changed its perspective from looking for greater computational efficiency to an approach that balances performance with energy consumption. As a consequence, different metrics and measurement mechanisms have been implemented to achieve this balance. The objective of