Zobrazeno 1 - 4
of 4
pro vyhledávání: '"López Chilet, Álvaro"'
Autor:
López-Chilet, Álvaro, Liu, Zhaoyi, Gómez, Jon Ander, Alvarez, Carlos, Ortiz, Marivi Alonso, Mesa, Andres Orejuela, Newton, David, Wolf-Monheim, Friedrich, Michiels, Sam, Hughes, Danny
This paper proposes a method for Acoustic Constrained Segmentation (ACS) in audio recordings of vehicles driven through a production test track, delimiting the boundaries of surface types in the track. ACS is a variant of classical acoustic segmentat
Externí odkaz:
http://arxiv.org/abs/2402.18204
Autor:
Carrión, Salvador, López-Chilet, Álvaro, Martínez-Bernia, Javier, Coll-Alonso, Joan, Chorro-Juan, Daniel, Gómez, Jon Ander
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031133206
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Image Analysis and Processing. ICIAP 2022 Workshops
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Image Analysis and Processing. ICIAP 2022 Workshops
Computer-aided diagnosis based on intelligent systems is an effective strategy to improve the efficiency of healthcare systems while reducing their costs. In this work, the epilepsy detection task is approached in two different ways, recurrent and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd9dff5ca8e951785f81bc05c44597f
https://doi.org/10.1007/978-3-031-13321-3_46
https://doi.org/10.1007/978-3-031-13321-3_46
Autor:
López Chilet, Álvaro
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[ES] La detección de la disminución del funcionamiento cardíaco es un factor clave para el diagnóstico de enfermedades del corazón. Para analizarlo se obtiene el volumen del ventrículo izquierdo al final de la fase de sístole y diástole para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a3259f1c6f77a282ae8c213aaffc6835
https://hdl.handle.net/10251/151946
https://hdl.handle.net/10251/151946
Autor:
López Chilet, Álvaro
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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instname
[ES] El problema que se aborda en este trabajo es el de usar técnicas de aprendizaje profundo para etiquetar imágenes de resonancia magnética cerebral en distintos grados de la enfermedad de Alzheimer: deterioro cognitivo leve, deterioro cognitivo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2219ddaa3c7510767b8e9db0bae705e3
https://hdl.handle.net/10251/125484
https://hdl.handle.net/10251/125484