AYRNA
Research Group
L
EARNING
A
ND
A
RTIFICIAL
N
EURAL
N
ETWORKS
Home
Members
Publications
Articles
Thesis
Conferences
Book chapters
Special Sessions
Research Results
Partitions and source code
Broadcast events
Projects
About us
Research areas
Contact
Home
Projects
maria-perez-ortiz
Pérez-Ortiz, María
Personal Information
Position:
Research Associate, University of Cambridge
Research areas:
Uncategorized
Location:
Rabanales
Publications
On the use of evolutionary time series analysis for segmenting paleoclimate data
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets
Partial order label decomposition approaches for melanoma diagnosis
Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation
[View All]
Projects
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP)
Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION
Diversificación Avanzada de Máquinas de Aprendizaje (Advanced Diversification for Learning Machines)
Algoritmos de clasificación ordinal en energias renovables (ORdinal Classification and prediction Algorithms in Renewable Energy, ORCA-RE)
NEMOTECH: Técnicas de Neuro-Modelado utilizando Algoritmos de Aprendizaje Híbridos. Aplicaciones en Biomedicina de Trasplantes, Agronomía y Microbiología Predictiva
Back
