David Charte, Iván Sevillano-García, María Jesús Lucena-González, José Luis Martín-Rodríguez, Francisco Charte, Francisco Herrera. Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings. Volume 12886 of Lecture Notes in Computer Science, pages 305-315, Springer, 2021. [doi]
@inproceedings{CharteSLMCH21,
title = {Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study},
author = {David Charte and Iván Sevillano-García and María Jesús Lucena-González and José Luis Martín-Rodríguez and Francisco Charte and Francisco Herrera},
year = {2021},
doi = {10.1007/978-3-030-86271-8_26},
url = {https://doi.org/10.1007/978-3-030-86271-8_26},
researchr = {https://researchr.org/publication/CharteSLMCH21},
cites = {0},
citedby = {0},
pages = {305-315},
booktitle = {Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings},
editor = {Hugo Sanjurjo-González and Iker Pastor-López and Pablo García Bringas and Héctor Quintián and Emilio Corchado},
volume = {12886},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-86271-8},
}