ListarInstitute of New Imaging Technologies (INIT) por tema "dissimilarity representation"
Mostrando ítems 1-3 de 3
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Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping
MDPI (2024-07)An innovative strategy for organizations to obtain value from their large datasets, allowing them to guide future strategic actions and improve their initiatives, is the use of machine learning algorithms. This has led to ... -
Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
Springer (2019-03)Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In ... -
Revisiting the Dissimilarity Representation in the Context of Regression
IEEE (2021-12-02)In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object. For classification problems, ...