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
About us
Research areas
david-guijo-rubio
Guijo-Rubio, David
Personal Information
Position:
Investigador postdoctoral Juan de la Cierva
Research areas:
Applications - Donor-recipient matching in liver transplants
Applications - Engine noise prediction
Applications - Weather forecasting
Applications - Health
Methodology - Machine learning
Methodology - Ordinal classification
Methodology - Time series
Location:
Campus de Rabanales, edificio Albert Einstein, 3ª Planta, Ala Sur, CP: 14014
Publications
Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
Gender-Equity Model for Liver Allocation using Artificial Intelligence (GEMA-AI) for waiting list liver transplant prioritization
Machine learning algorithms in controlled donation after circulatory death under normothermic regional perfusion: A graft survival prediction model
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
[View All]
Projects
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP)
Modelo de emparejamiento donante-receptor en trasplante hepático mediante Inteligencia Artificial con donantes en asistolia
Métodos de Aprendizaje Profundo en clasificación ORDINAL (MAP-ORDINAL)
Aprendizaje dinámico de modelos de curvas de infectados y de número de camas hospitalarias y camas UCI ocupadas por COVID-19 en Andalucía mediante técnicas estadísticas y de Inteligencia Artificial
Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION
[View All]
Back