Use of classifiers and recursive feature elimination to assess boar sperm viability

  1. Sánchez-González, Lidia 1
  2. Fernández-Robles, Laura 1
  3. Castejón-Limas, Manuel 1
  4. Alfonso-Cendón, Javier 1
  5. Pérez, Hilde 1
  6. Quintian, Hector 2
  7. Corchado, Emilio 2
  1. 1 Departamento de Ingenierías Mecánica, Informática y Aeroespacial Universidad de León, León, Spain
  2. 2 Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain
Revista:
Logic Journal of the IGPL

ISSN: 1367-0751,  1368-9894

Año de publicación: 2018

Volumen: 26

Número: 6

Páginas: 629–637

Tipo: Artículo

DOI: 10.1093/JIGPAL/JZY027 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Logic Journal of the IGPL

€ Ver financiación

Información de financiación

Financiadores

Referencias bibliográficas

  • Alegre, (2008), Computers in Biology and Medicine, 38, pp. 461, 10.1016/j.compbiomed.2008.01.005
  • Alegre, (2013), Computers Methods and Programs in Biomedicine, 111, pp. 525, 10.1016/j.cmpb.2013.05.003
  • Alegre, 14th International Workshop on Combinatorial Image Analysis (IWCIA), 10.1007/978-3-642-21073-0_36
  • Alegre, (2011), Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 10.1007/978-3-642-21257-4_67
  • Alegre, (2012), Computer Methods and Programs in Biomedicine, 108, pp. 873, 10.1016/j.cmpb.2012.01.004
  • Bijar, (2012), Journal of Biomedical Science and Engineering, 5, pp. 384, 10.4236/jbise.2012.57049
  • Breiman, (2001), Machine Learning, 45, pp. 5, 10.1023/A:1010933404324
  • Chan, (2002), Andrologia, 34, pp. 379, 10.1046/j.1439-0272.2002.00518.x
  • Cortes, (1995), Machine learning, 20, pp. 273, 10.1007/BF00994018
  • Fazeli, (1997), Biology of Reproduction, 56, pp. 430, 10.1095/biolreprod56.2.430
  • Garcia-Olalla, (2015), Computer Methods and Programs in Biomedicine, 120, pp. 49, 10.1016/j.cmpb.2015.03.005
  • Geurts, (2006), Machine Learning, 63, pp. 3, 10.1007/s10994-006-6226-1
  • González, (2007), Acrosome integrity classification of boar spermatozoon images using DWT and texture techniques, pp. 165
  • Gonzalez-Castro, (2013), Information Sciences, 218, pp. 146, 10.1016/j.ins.2012.05.028
  • Gonzalez-Castro, (2012), Image Analysis and Recognition, ICIAR 2012. Lecture notes in Computer Science, 10.1007/978-3-642-31298-4_53
  • Guyon, (2002), Machine Learning, 46, pp. 389, 10.1023/A:1012487302797
  • Neuwinger, (1990), Fertility and Sterility, 54, pp. 308, 10.1016/S0015-0282(16)53709-1
  • Oliva-Hernandez, (2005), Reproduction in Domestic Animals, 40, pp. 353
  • Pedregosa, (2011), Journal of Machine Learning Research, 12, pp. 2825
  • Petkov, (2006), CompIMAGE
  • Petrunkina, (2001), Andrologia, 33, pp. 360, 10.1046/j.1439-0272.2001.00457.x
  • Pinart, (2005), Reproduction in Domestic Animals, 40, pp. 356
  • Sanchez, (2007)
  • Sánchez, (2016), International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 - San Sebastián, Spain, October 19th-21st, 2016, Proceedings, pp. 13
  • Verstegen, (2002), Theriogenology, 57, pp. 149, 10.1016/S0093-691X(01)00664-1
  • Zhang, (2004), Proc. of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS)