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Neuronanatomy, neurology and Bayesian networks
Cita
Bielza Lozoya, María Concepción 
ORCID: https://orcid.org/0000-0001-7109-2668
(2014).
Neuronanatomy, neurology and Bayesian networks.
En: "8th European Conference on Data Mining (DM2014)", 15-17 Jul 2014, Lisboa.
ORCID: https://orcid.org/0000-0001-7109-2668
(2014).
Neuronanatomy, neurology and Bayesian networks.
En: "8th European Conference on Data Mining (DM2014)", 15-17 Jul 2014, Lisboa.
Descripción
| Título: | Neuronanatomy, neurology and Bayesian networks |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Otro) |
| Título del Evento: | 8th European Conference on Data Mining (DM2014) |
| Fechas del Evento: | 15-17 Jul 2014 |
| Lugar del Evento: | Lisboa |
| Fecha: | 2014 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Bayesian networks are data mining models with clear semantics and a sound theoretical foundation. In this keynote talk we will pinpoint a number of neuroscience problems that can be addressed using Bayesian networks. In neuroanatomy, we will show computer simulation models of dendritic trees and classification of neuron types, both based on morphological features. In neurology, we will present the search for genetic biomarkers in Alzheimer's disease and the prediction of health-related quality of life in Parkinson's disease. Most of these challenging problems posed by neuroscience involve new Bayesian network designs that can cope with multiple class variables, small sample sizes, or labels annotated by several experts.
Más información
| ID de Registro: | 36279 |
|---|---|
| Identificador DC: | https://oa.upm.es/36279/ |
| Identificador OAI: | oai:oa.upm.es:36279 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 29 Sep 2015 11:52 |
| Ultima Modificación: | 20 Feb 2024 12:59 |
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