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García Baez, Patricio

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11 artículo

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Title Issue Date
Spectrofluorimetric identification of polychlorinated biphenyls using an unsupervised modular artificial neural network García Báez, P. ; Suárez Araujo, C. P. ; Santana-Rodríguez, J. J. ; Hernández García, J. Issued date: 1999 DOI: 10.1002/(SICI)1099-0801(199904)13:2<181::AID-BMC879>3.0.CO;2-Q Source: Biomedical Chromatography [ISSN 0269-3879], v. 13 (2), p. 181-183 JCR: 1,145 - Q3 SCIE Artículo
A computational method for fluorescence determination of organochlorinated compounds of environmental interest Betancort Rodriguez,Juana Rosa ; García Báez, P. ; Santana Rodríguez, J.J. ; Suarez Araujo, C. P. Issued date: 2002 Source: Luminescence [ISSN 1522-7235], v. 17, n. 191, p. 219-220 JCR: 1,258 - Q3 SCIE Artículo
A parametric study of humann in relation to the noise: application for the identification of compounds of environmental interest García Báez, Patricio ; López, Pablo Fernández ; Suárez Araujo, Carmen Paz Issued date: 2003 DOI: 10.1080/02329290310001600282 Source: Systems Analysis Modelling Simulation [ISSN 0232-9298], v. 43, p. 1213-1228 Artículo
Diffusion associative network: diffusive hybrid neuromodulation and volume learning Fernández López, P. ; Suarez Araujo, C. P. ; García Báez, Patricio ; Sanchez Martin, G. Issued date: 2003 DOI: 10.1007/3-540-44868-3_8 Source: Mira J., Álvarez J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686, pp 54-61. Springer, Berlin, Heidelberg Artículo
HUMANN-based system to identify benzimidazole fungicides using multi-synchronous fluorescence spectra: an ensemble approach Suárez Araujo, Carmen Paz ; García Báez, Patricio ; Sánchez Rodríguez, Álvaro; Santana Rodríguez, José Juan Issued date: 2009 DOI: 10.1007/s00216-009-2654-7 Source: Analytical and Bioanalytical Chemistry [ISSN 1618-2642], v. 394 (4), p. 1059-1072 JCR: 3,48 - Q1 SCIE Artículo
Artificial neural networks in Alzheimer's diagnosis: a perspective García Báez, Patricio ; Suárez Araujo, Carmen Paz ; García, José Manuel Martínez Issued date: 2011 Source: Alzheimer's Disease Research Journal [ISSN 1935-2514], v. 4, p. 413-442 Artículo
Supervised neural computing solutions for fluorescence identification of benzimidazole fungicides. Data and decision fusion strategies Suárez-Araujo, Carmen Paz ; García Báez, Patricio ; Sánchez Rodríguez, Álvaro; Santana-Rodrríguez, José Juan Issued date: 2016 DOI: 10.1007/s11356-016-7129-8 Source: Environmental Science and Pollution Research[ISSN 0944-1344],v. 23, p. 24547-24559 SJR: 0,813 - Q1 JCR: 2,741 - Q2 SCIE Artículo
A real-time clinical decision support system, for mild cognitive impairment detection, based on a hybrid neural architecture Suárez Araujo, Carmen Paz ; García Báez, Patricio ; Cabrera León, Ylermi ; Prochazka, Ales; Rodríguez Espinosa, Norberto, et al Editor: Bangyal, Waqas Haider Issued date: 2021 DOI: 10.1155/2021/5545297 Source: Computational and Mathematical Methods in Medicine [ISSN 1748-670X], v. 2021, 5545297 SJR: 0,522 - Q2 JCR: 2,809 - Q2 SCIE MIAR ICDS: 10,8 Artículo
Volume signaling and neural-indexing by nitric oxide in artificial neural networks Fernández-López, Pablo ; Garcia Baez, Patricio ; Cabrera-Leon, Ylermi ; Navarro-Mesa, Juan L. ; Suárez-Araujo, Carmen Paz Issued date: 2022 DOI: 10.1109/ACCESS.2022.3196672 Source: IEEE Access[EISSN 2169-3536], (Enero 2022) SJR: 0,926 - Q1 JCR: 3,9 - Q2 SCIE MIAR ICDS: 10,4 Artículo
Modeling the implications of nitric oxide dynamics on information transmission: An automata networks approach Fernández-López, Pablo ; García Baez, Patricio ; Cabrera-Leon, Ylermi ; Prochazka, Ales; Suárez Araujo, Carmen Paz Issued date: 2023 DOI: 10.3934/math.20231541 Source: Aims Mathematics [2473-6988], v. 8 (12), p. 30142-30181, (2023) SJR: 0,456 - Q2 JCR: 2,2 - Q1 ESCI MIAR ICDS: 8,2 Artículo
Toward an intelligent computing system for the early diagnosis of Alzheimer's disease based on the modular hybrid growing neural gas Cabrera-Leon, Ylermi ; Fernández-López, Pablo ; Garcia Baez, Patricio ; Kluwak, Konrad ; Navarro Mesa, Juan Luis , et al Issued date: 2024 DOI: 10.1177/20552076241284349 Source: Digital Health [ISSN 2055-2076], v. 10, p. 1-6, (2024) SJR: 0,767 - Q2 JCR: 3,9 - Q1 ESCI Artículo