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"Slicer: Feature Learning for Class Separability with Least-Squares Support ..."

David Charte et al. (2021)

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DOI: 10.1007/978-3-030-86271-8_26

access: closed

type: Conference or Workshop Paper

metadata version: 2021-09-23

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  dblp key:
  - conf/hais/CharteSLMCH21
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  - https://dblp.org/rec/conf/hais/CharteSLMCH21
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. HAIS 2021: 305-315

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