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
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2
Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study
Machine Learning Applications in Real-World Time Series Problems
Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure
[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