Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model - researchr publication authors

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Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello. Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. In Ignacio Rojas, Olga Valenzuela, Fernando Rojas 0001, Luis Javier Herrera, Francisco Ortuño, editors, Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II. Volume 13347 of Lecture Notes in Computer Science, pages 375-388, Springer, 2022. [doi]

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