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Titlebook: Intelligent Systems; 11th Brazilian Confe Jo?o Carlos Xavier-Junior,Ricardo Araújo Rios Conference proceedings 2022 The Editor(s) (if appli

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發(fā)表于 2025-3-25 06:45:42 | 只看該作者
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發(fā)表于 2025-3-25 07:56:56 | 只看該作者
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發(fā)表于 2025-3-25 12:24:43 | 只看該作者
Event Detection in Therapy Sessions for Children with Autism,these individuals. ASD has a worldwide prevalence of 1% on children and it affects not only the people with this disorder, but also their family and the surrounding community. In the family circle, individuals on the spectrum require greater support and attention relative to its cognitive capacity,
24#
發(fā)表于 2025-3-25 19:43:21 | 只看該作者
,On Social Consensus Mechanisms for?Federated Learning Aggregation,erated Learning stands out for allowing accurate inference by combining multiple models trained on their data locally. It uses the strategy of local learning, where each node learns from its individual data, and then groups the learned models into a single, unified one, thus preserving data privacy.
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發(fā)表于 2025-3-25 20:16:02 | 只看該作者
,: A Corpus of?Literature in?Portuguese for?NLP,onal Creativity tasks, such as Natural Language Processing, Automatic Text Generation (ATG), and other similar purposes. We highlight characteristics of the Portuguese section, such as the numbers of documents, authors, sentences and tokens and also how it is structured and formatted. We show how th
26#
發(fā)表于 2025-3-26 00:28:37 | 只看該作者
,Protein Molecular Function Annotation Based on?Transformer Embeddings,esent and discuss a new approach for protein Molecular Function prediction based on Transformers embeddings. Our method surpassed state-of-the-art classifiers when it used only the amino acid sequence as input and when it employed amino acid sequence and homology search in . and AuPRC metrics.
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發(fā)表于 2025-3-26 07:29:02 | 只看該作者
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發(fā)表于 2025-3-26 08:31:05 | 只看該作者
,Least-Squares Linear Dilation-Erosion Regressor Trained Using a?Convex-Concave Procedure,firm the efficacy of the proposed regressor, outperforming other hybrid morphological models and state-of-the-art approaches such as the multilayer perceptron network and the radial-basis support vector regressor.
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發(fā)表于 2025-3-26 13:01:21 | 只看該作者
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發(fā)表于 2025-3-26 19:58:53 | 只看該作者
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