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Titlebook: Intelligent Systems; 10th Brazilian Confe André Britto,Karina Valdivia Delgado Conference proceedings 2021 Springer Nature Switzerland AG 2

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Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputi. We experimentally compared our proposal with other techniques for multilingual sentence embeddings, evaluating them in three topical corpora prepared by us, two of them annotated by a specialist and the other automatically annotated by hashtags.
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Experiments on Portuguese Clinical Question AnsweringioBERTpt model with a translated version of the SQuAD dataset. The evaluation showed promising results when evaluated in different clinical scenarios, even without the application of a clinical QA corpus to support a training process. The developed model is publicly available to the scientific community.
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How to Generate Synthetic Paintings to Improve Art Style Classificationf EfficientNet B0, a state of art classifier. To achieve this result, we introduce Class-by-Class Performance Analysis; we also present a modified version of the SAGAN training configuration that allows better control against mode collapse and vanishing gradient in the context of artwork.
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A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake Newsize fake news, such as representative terms, emotiveness, pausality, and average sentence size. Also, we considered two representations of the news to compute similarity: term frequency-inverse document frequency, and Doc2Vec, which creates fixed-sized document representations regardless of its leng
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Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techn, in particular the network-based approach, can indeed help in the task of monitoring government purchase card expenses, by flagging suspect transactions for further investigation without requiring the presence of a specialist in this process.
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