Amparo Alonso Betanzos

Amparo Alonso-Betanzos (born 1961) is a Spanish computer scientist and president of the Spanish Association for Artificial Intelligence.[1] She is a professor at University of A Coruña,[2] where she leads the Laboratory for the Investigation and Development of Artificial Intelligence (LIDIA).[1] Originally a chemical engineer, her research now focuses on artificial intelligence, specifically its medical applications.[3] In 1998, she was awarded the L'Oreal-UNESCO Award for Women In Science in Spain.[4]

Amparo Alonso Betanzos
ICT-Go-Girls! Amparo Alonso Betanzos (cropped).png
Amparo Alonso-Betanzo in 2014
BornOctober 10, 1961
Vigo, Spain
EducationUniversidad de Santiago de Compostela, Spain

Medical College of Georgia, United States
OccupationProfessor, Artificial Intelligence Researcher
EmployerUniversity of A Coruña, Spain
AwardsL'Oreal-UNESCO Award for Women in Science (Spain)

Selected researchEdit

  • Bolón-Canedo, Verónica, Noelia Sánchez-Maroño, and Amparo Alonso-Betanzos. "A review of feature selection methods on synthetic data." Knowledge and information systems 34.3 (2013): 483–519.
  • Bolón-Canedo, Verónica, et al. "A review of microarray datasets and applied feature selection methods." Information Sciences 282 (2014): 111–135.
  • Sánchez-Maroño, Noelia, Amparo Alonso-Betanzos, and María Tombilla-Sanromán. "Filter methods for feature selection–a comparative study." International Conference on Intelligent Data Engineering and Automated Learning. Springer, Berlin, Heidelberg, 2007.
  • Bolon-Canedo, Veronica, Noelia Sanchez-Marono, and Amparo Alonso-Betanzos. "Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset." Expert Systems with Applications 38.5 (2011): 5947–5957.


  1. ^ a b "Directorio TIC - Ciencia y Tecnologia" (PDF). Retrieved 9 September 2019.
  2. ^ "Resolución de 20 de mayo de 2002". Boletin Oficil del Estado. Retrieved 9 September 2019.
  3. ^ de la Huerta, María. "Embarazos 'inteligentes'". La Opinion A Coruña. Retrieved 9 September 2019.
  4. ^ Ramirez-Gallego, Sergio (2017). "An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark" (PDF). University of Granada Soft Computing and Intelligent Information Systems. Retrieved May 24, 2020.

External linksEdit