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Titlebook: Hybrid Artificial Intelligent Systems; 18th International C Pablo García Bringas,Hilde Pérez García,Emilio Cor Conference proceedings 2023

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Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants ofoorly distributed. The data imbalance usually produces deterioration of the trained model by generalisation of instances belonging to minority class predicting as majority class instances. To avoid these, different techniques have been adopted in the literature and expand the original database such
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Financial Distress Prediction in an Imbalanced Data Stream Environmentstationary models, and they tend to ignore important challenges of financial distress like data non-stationarity, concept drift and data imbalance. This study proposes methods for dealing with these challenges and uses data collected from financial statements quarterly provided by companies to the S
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ionships”. Now, the graph database system is used to analyze complex relationship between entities, especially, in the scientific research field. For example, the RDF-based graph database system has been used for biological data processing. Many previous works have proved that the graph database sys
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olution of material irradiation damage. With the improvement of memory and computational power, the multiscale simulation puts forward high demands for supercomputing, big data, and artificial intelligence. This paper explores a collaborative framework of supercomputing, big data, and artificial int
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Álvaro Michelena,Antonio Díaz-Longueira,Míriam Timiraos,Esteban Jove,Jose Aveleira-Mata,Isaías Garcíionships”. Now, the graph database system is used to analyze complex relationship between entities, especially, in the scientific research field. For example, the RDF-based graph database system has been used for biological data processing. Many previous works have proved that the graph database sys
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