Titlebook: Intelligent Systems; 12th Brazilian Confe Murilo C. Naldi,Reinaldo A. C. Bianchi Conference proceedings 2023 The Editor(s) (if applicable)

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书目名称Intelligent Systems影响因子(影响力)




书目名称Intelligent Systems影响因子(影响力)学科排名




书目名称Intelligent Systems网络公开度




书目名称Intelligent Systems网络公开度学科排名




书目名称Intelligent Systems被引频次




书目名称Intelligent Systems被引频次学科排名




书目名称Intelligent Systems年度引用




书目名称Intelligent Systems年度引用学科排名




书目名称Intelligent Systems读者反馈




书目名称Intelligent Systems读者反馈学科排名

随意

Regulation and Ethics of Facial Recognition Systems: An Analysis of Cases in the Court of Appeal in r of cases in the Judiciary involving AI has increased. Cases involving facial recognition systems (FRS) for contracting bank credit are increasing annually, so it is necessary to analyze how the Judiciary handles the issues. Problem: Why is the São Paulo Court of Appeal ruling in favor of banks in

地壳

A Combinatorial Optimization Model and Polynomial Time Heuristic for a Problem of Finding Specific Sth combinatorial optimization and integer linear programming techniques due to enormous technological advances and the real need to deal with large volumes of data. In this paper, the Maximum Tropical Path Problem on graphs (MTPP), which is known to be NP-hard, was investigated. It is a problem of s

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Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets detailed description of the structures of clusters and outliers in a dataset through density functions. The resulting hierarchy of these algorithms can be derived from a minimal spanning tree whose edges quantify the maximum density required for the connected data to characterize clusters, given a

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Exploring Text Decoding Methods for Portuguese Legal Text Generationg recent advances in Natural Language Processing to automate tasks and analysis in the legal domain. In this article, we investigate text decoding methods for automating the writing of keyphrases, a sequence of key terms present in documents used in courts throughout Brazil. For this purpose, a text

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Community Detection for Multi-label Classificationroved when classifiers learn these correlations. On the other hand, some works also argue that the multi-label classification methods cannot explore label correlations. The traditional multi-label local approach uses only information from individual labels, which makes it impractical to find relatio

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A Monte Carlo Algorithm for Time-Constrained General Game Playing develop a strategy to improve move suggestions in time-constrained GGP settings. This strategy consists of a hybrid version of UCT that combines Sequential Halving and ., favoring information acquisition in the root node, rather than overspend time on the most rewarding actions. Empirical evaluatio

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-MCMP: Trade-Offs Between Probability and Cost in SSPs with the MCMP Criterion-to-goal) equal to 1 can be met. This is the case when dead ends, states from which the probability-to-goal is equal to 0, are unavoidable for any policy, which demands the definition of alternate methods to handle such cases. The .-strong probability-to-goal priority is a property that is maintaine

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Logic-Based Explanations for Linear Support Vector Classifiers with Reject Optioneject option strategy to reject instances that are hard to correctly classify and delegate them to a specialist. This further increases the confidence of the model. Given this, obtaining an explanation of the cause of rejection is important to not blindly trust the obtained results. While most of th