Zobrazeno 1 - 10
of 405
pro vyhledávání: '"Germán Castellanos Domínguez"'
Publikováno v:
Earth Sciences Research Journal, Vol 12, Iss 2, Pp 265-268 (2008)
The authors are to be congratulated for a systematic investigationof the accurate and non subjective classifying approach in seismic research. The authors have conducted several clustering algorithms to the seismic event records from Volcanological a
Externí odkaz:
https://doaj.org/article/85ff30553d034e7e937977558e4c44c9
Autor:
Demirel, Mehmet C.1 m.c.demirel@utwente.nl, Kahya, Ercan2 ekahya@aus.edu, Rivera, Diego3 dirivera@udec.cl
Publikováno v:
Earth Sciences Research Journal. Dec2008, Vol. 12 Issue 2, p265-267. 3p.
Autor:
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, César Germán Castellanos-Domínguez
Publikováno v:
Sensors, Vol 23, Iss 5, p 2750 (2023)
Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and neural plasticity with potential applications in medical and professional fields like rehabilita
Externí odkaz:
https://doaj.org/article/3b5dd65274db47cabb4409c4e8b8df16
Publikováno v:
Sensors, Vol 22, Iss 15, p 5771 (2022)
The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to-Noise Ratio (SNR) poses a challenge when constructing EEG-based BCI sy
Externí odkaz:
https://doaj.org/article/84a32450406d47f2aed77e626fb5a028
Autor:
Jorge Andrés Gómez-García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente, César Germán Castellanos-Domínguez
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 79, Pp 50-62 (2016)
Una categorización automática de los hablantes de acuerdo con su sexo mejora el rendimiento de un detector automático de patologías de voz. Esto se fundamenta en hallazgos que demuestran diferencias perceptuales, acústicas y anatómicas en voces
Externí odkaz:
https://doaj.org/article/6cafb07f45e64555874afb005b6a70db
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 79, Pp 19-32 (2016)
La Ontología Genética (GO) es uno de los recursos más importantes en la bioinformática, el cual busca proporcionar un marco de trabajo unificado para la anotación biológica de genes y proteínas de todas las especies. La predicción de término
Externí odkaz:
https://doaj.org/article/b819725650a5443f93784429da00662c
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 77, Pp 162-169 (2015)
Este artículo presenta un método de mapeo acústico-a-articulatorio que permite hacer seguimiento del movimiento de articuladores críticos en voces del tipo fricativo. El método propuesto hace uso de aquellas características de tiempo-frecuencia
Externí odkaz:
https://doaj.org/article/af8d3610a63041e9a060018d1ce17f54
Autor:
Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, J. Hoyos-Osorio, Germán Castellanos-Domínguez, Álvaro-Ángel Orozco-Gutierrez
Publikováno v:
Neurocomputing. 436:136-146
Traditional classification algorithms suppose that the sample distribution among classes is balanced. Yet, such an assumption leads to biased performance over the majority class. This paper proposes a Relevant Information-based UnderSampling (RIUS) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08503ebc6480d91eb1a28186f9188dc6
https://doi.org/10.1016/j.neucom.2021.01.033
https://doi.org/10.1016/j.neucom.2021.01.033
Autor:
Carlos Daniel Acosta-Medina, Germán Albeiro Castaño-Duque, Diego Fabian Collazos-Huertas, Germán Castellanos-Domínguez, Andrés Marino Álvarez-Meza
Publikováno v:
Brain Informatics, Vol 7, Iss 1, Pp 1-13 (2020)
Brain Informatics
Brain Informatics
Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hindered by substantial intra- and inter-subje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05b69d1158bdb4c967ff5c41204bf61
http://link.springer.com/article/10.1186/s40708-020-00110-4
http://link.springer.com/article/10.1186/s40708-020-00110-4
Publikováno v:
Pattern Recognition Letters. 129:287-292
The adaptive kernel filters are sequential learning algorithms that operate in a particular functional space called a reproducing kernel Hilbert space. However, their performance depends on the selection of two hyper-parameters, i.e., kernel bandwidt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41c54e1d3ed4362adcbf28cc8e45530a
https://doi.org/10.1016/j.patrec.2019.11.031
https://doi.org/10.1016/j.patrec.2019.11.031