Výsledky vyhledávání - "Armero, Gonzalo"

Kniha

Manuel de Falla : His Life and Works. [elektronicky zdroj]

Autor: Armero, Gonzalo

Externí odkaz: Kolekce e-knih KNAV (Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.)

Vector score alpha integration for classifier late fusion

Autor: Safont Armero, Gonzalo, Salazar Afanador, Addisson, Vergara Domínguez, Luís

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Alpha integration is a family of integrators that encompasses many classic fusion operators (e.g., mean, product, minimum, maximum) as particular cases. This paper proposes vector score integration (VSI), a new alpha integration method for late

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56d64669db6914b90fb0eee94ce93bd4
https://doi.org/10.1016/j.patrec.2020.05.014

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Multiclass Alpha Integration of Scores from Multiple Classifiers

Autor: Safont Armero, Gonzalo, Salazar Afanador, Addisson, Vergara Domínguez, Luís

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Alpha integration methods have been used for integrating stochastic models and fusion in the context of detection (binary classification). Our work proposes separated score integration (SSI), a new method based on alpha integration to perform so

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a926238e5179d346387c101ca30cd206
https://pubmed.ncbi.nlm.nih.gov/30764745

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Combinación de múltiples detectores para identificación/autenticación biométrica basada en electroencefalogramas

Autor: Safont Armero, Gonzalo, Salazar Afanador, Addisson, Rodriguez Martinez, Alberto, Vergara Domínguez, Luís

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Las señales electroencefalográficas (EEG) producidas por el cerebro humano en reposo son únicas para cada sujeto, permitiendo diferenciarlo de otros. Esta unicidad es explotada en este artículo, que presenta un método de autenticación / id

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dc65fae2f4a0f3b4aaf79a81a2ead48b
https://hdl.handle.net/10251/60241

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Extensions of Independent Component Analysis Mixture Models for classification and prediction of EEG signals

Autor: Safont Armero, Gonzalo, Salazar Afanador, Addisson, Rodriguez Martinez, Alberto, Vergara Domínguez, Luís

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] This paper presents two applications of Independent Component Analysis Mixture Modeling (ICAMM) for the classification and prediction of data. The first one of these extensions is Sequential ICAMM (SICAMM), an ICAMM structure that takes into acc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ba64ccf9805136911411a32698a73d26
https://hdl.handle.net/10251/52797

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Nonlinear prediction based on independent component analysis mixture modelling

Autor: Safont Armero, Gonzalo, Salazar Afanador, Addisson, Vergara Domínguez, Luís

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Advances in Computational Intelligence ISBN: 9783642214974
IWANN (2)

[EN] This paper presents a new algorithm for nonlinear prediction based on independent component analysis mixture modelling (ICAMM). The data are considered from several mutually-exclusive classes which are generated by different ICA models. This str

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f548d9ffbe47a88c086a5ab249df628
http://hdl.handle.net/10251/58589

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Estudio comparativo de nuevos algoritmos de predicci on no lineal

Autor: Safont Armero, Gonzalo

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[ES] Este trabajo presenta dos nueves métodos de predicdón no lineal, uno basado en correcdón no lineal de una predicción lineal y otro basado en un modelo de mezcla de analizadores de componentes independientes. El trabajo compara el rendimiento

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5580e41e32f7f5833675e3488008f841
http://hdl.handle.net/10251/31029

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Application of non-destructive evaluation and signal processing for diagnosis of historic heritage buildings

Autor: Gosálbez Castillo, Jorge, Salazar Afanador, Addisson, Safont Armero, Gonzalo, Bosch Roig, Ignacio, Miralles Ricós, Ramón, Vergara Domínguez, Luís, Albert Pérez, Vicente

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] In this work, signal processing techniques are combined with non-destructive evaluation (NDE) to evaluate the capability for detecting defects in historic walls. To join this aim, ashlar masonry walls of 3x2x0.2m have been made at laboratory fac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1cf0047da3357545bb04ffdef3f54806
https://hdl.handle.net/10251/56157

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