Persona:
Martínez Tomás, Rafael

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ORCID
0000-0003-4706-7168
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Martínez Tomás
Nombre de pila
Rafael
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2009 - 200912010 - 20191
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Ajustes

Fecha de finalización: 2019 × search.filters.applied.f.itemFacultad: E.T.S. de Ingeniería Informática ×

Resultados de la búsqueda

Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Ontologies for early detection of the Alzheimer Disease and other Neurodegenerative Diseases
    (Springer, 2019) Gómez-Valades Batanero, Alba; Martínez Tomás, Rafael; Rincón Zamorano, Mariano
    Nowadays technologies allow an exponential generation of biomedical data, which must be indexed according to some standard criteria to be useful to the scientific and medical community, being neurology one of the areas in which the standardization is more necessary. Ontologies have been highlighted as one of the best options, with their capability of homogenise information, allowing their integration with other kind of information, and the inference of new information based on the data that is stored. We analyse and compare the approaches taken by different research groups inside the area of the Alzheimer’s disease, and the ontologies they developed with the objective of providing a common framework to standardize information, data recovery or as a part of an expert system. However, to make this approach work the ontologies must be maintained over the time, a critical point which is not been followed by any of the ontologies reviewed.
  • Miniatura
    Publicación
    On the effect of feedback in multilevel representation spaces for visual surveillance tasks
    (Elsevier, 2009-01) Carmona, Enrique J.; Martínez Campos, Javier; Mira Mira, José; Rincón Zamorano, Mariano; Bachiller Mayoral, Margarita; Martínez Tomás, Rafael
    In this work we propose a general top–down feedback scheme between adjacent description levels to interpret video sequences. This scheme distinguishes two types of feedback: repair-oriented feedback and focus-oriented feedback. With the first it is possible to improve the system's performance and produce more reliable and consistent information, and with the second it is possible to adjust the computational load to match the aims. Finally, the general feedback scheme is used in different examples for a visual surveillance application which improved the final result of each description level by using the information in the higher adjacent level.