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
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
A Hands-on Introduction to Time Series Classification and Regression
aeon: a Python toolkit for learning from time series
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height
OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates
[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