Elegir campos a generar del autor Francisco Gabriel

Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
Associative classification based on the Transferable Belief Model
Management and evolutionary analysis from behavioral and cognitive measures,Gestión y análisis evolutivo a partir de medidas cognitivas y comportamentales
A Theory of Evidence-based method for assessing frequent patterns
Mining generalized temporal patterns based on fuzzy counting
A tree structure for event-based sequence mining
Evaluación Neuropsicológica en niños sordos: Resultados preliminares obtenidos con la batería AWARD Neuropsychological
AW ARD(prime): An Adaptive Web Based-Tool Prototype for Neurocognitive Individualized Assessment and Training
Temporal similarity by measuring possibilistic uncertainty in CBR
Libros, capítulos, tesis Todos / Ninguno
Summarizing Frequent Itemsets via Pignistic Transformation
Minería de patrones temporales basados en redes de restricciones
An Architecture Proposal for Adaptive Neuropsychological Assessment
A Web-CASE tool prototype for hybrid software development
Temporal approaches in data mining. A case study in agricultural environment
Conferencias Todos / Ninguno
On the evaluation of mined frequent sequences: An evidence theory-based method
A possibilistic approach for mining uncertain temporal relations from diagnostic evolution databases
Propos: A dynamic Web tool for managing possibilistic and probabilistic temporal constraint networks
Extracting uncertain temporal relations from mined frequent sequences
A tractable subclass of fuzzy constraint networks
A WEB-CASE tool prototype for hybrid software development
An iterative method for mining frequent temporal patterns
An iterative method for mining frequent temporal patterns
A tractable subclass of Fuzzy Constraint Networks
Temporal approaches in data mining. A case study in agricultural environment
Series-parallel and tree-decomposition approaches for fuzzy constraint networks
Series-parallel and tree-decomposition approaches for Fuzzy Constraint Networks
Métricas del autor Todos / Ninguno
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