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Titlebook: Computer Science – CACIC 2021; 27th Argentine Congr Patricia Pesado,Gustavo Gil Conference proceedings 2022 The Editor(s) (if applicable) a

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https://doi.org/10.1007/978-3-030-03931-8ormance analysis was added to discover traces that, despite correctly following to the process, have operational deviations due to an excessive time to complete. These techniques are intended to be added to the process through early alerts that warn about the existence of such situations, which would help improve service quality.
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Software Tool for Thematic Evolution Analysis of Scientific Publications in Spanishuser to experiment with new metrics and modifications to the methodology more easily by applying incremental iterative development. The tests carried out allow us stating that the inclusion index is an adequate metric to select the most relevant theme relationships, facilitating the understanding and visualization of the results obtained.
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Anorexia Detection: A Comprehensive Review of Different Methods carry out an analysis of the performance of the classifying models comparing those classical models with methods based on deep learning, such as CNN, LSTM and BERT. As a result, .-TVT, CNN and BERT’s embeddings performed best.
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Sabrina Gaba,Vincent Bretagnollees and incorporating, besides execution time, space exploration as a factor in the comparison with other approaches. We believe that the contributions introduced in this work aim to point up FVS as a solid tool to formally verify behavior in BIG DATA syst
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