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Jose Aguilar

Showing results (1-10 of 35) with videos related to

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Heliyon|October 7, 2022
An autonomous cycle of data analysis tasks for the clinical management of dengueWilliam Hoyos, Jose Aguilar, Mauricio Toro
Artificial Intelligence in Medicine|September 17, 2021
Dengue models based on machine learning techniques: A systematic literature reviewWilliam Hoyos, Jose Aguilar, Mauricio Toro
Health Care Management Science|August 15, 2022
A clinical decision-support system for dengue based on fuzzy cognitive mapsWilliam Hoyos, Jose Aguilar, Mauricio Toro
Heliyon|June 30, 2021
Analysis of different affective state multimodal recognition approaches with missing data-oriented to virtual learning environmentsCamilo Salazar, Edwin Montoya-Múnera, Jose Aguilar
BMC Medical Informatics and Decision Making|December 19, 2024
An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniquesWilliam Hoyos, Kenia Hoyos, Rander Ruiz, et al.
Computer Methods and Programs in Biomedicine|October 14, 2023
Case studies of clinical decision-making through prescriptive models based on machine learningWilliam Hoyos, Jose Aguilar, Mayra Raciny, et al.
Applied Soft Computing|September 12, 2022
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approachYullys Quintero, Douglas Ardila, Jose Aguilar, et al.
Informatics in Medicine Unlocked|December 22, 2021
Ontological engineering for the definition of a COVID-19 pandemic ontologyAlexandra González-Eras, Ricardo Dos Santos, Jose Aguilar, et al.
Sensors (Basel, Switzerland)|May 7, 2020
Recognition of the Driving Style in Vehicle DriversJorge Cordero, Jose Aguilar, Kristell Aguilar, et al.
Computers in Biology and Medicine|May 30, 2021
Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variablesYullis Quintero, Douglas Ardila, Edgar Camargo, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Heliyon|October 7, 2022
An autonomous cycle of data analysis tasks for the clinical management of dengueWilliam Hoyos, Jose Aguilar, Mauricio Toro
Artificial Intelligence in Medicine|September 17, 2021
Dengue models based on machine learning techniques: A systematic literature reviewWilliam Hoyos, Jose Aguilar, Mauricio Toro
Health Care Management Science|August 15, 2022
A clinical decision-support system for dengue based on fuzzy cognitive mapsWilliam Hoyos, Jose Aguilar, Mauricio Toro
Heliyon|June 30, 2021
Analysis of different affective state multimodal recognition approaches with missing data-oriented to virtual learning environmentsCamilo Salazar, Edwin Montoya-Múnera, Jose Aguilar
BMC Medical Informatics and Decision Making|December 19, 2024
An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniquesWilliam Hoyos, Kenia Hoyos, Rander Ruiz, et al.
Computer Methods and Programs in Biomedicine|October 14, 2023
Case studies of clinical decision-making through prescriptive models based on machine learningWilliam Hoyos, Jose Aguilar, Mayra Raciny, et al.
Applied Soft Computing|September 12, 2022
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approachYullys Quintero, Douglas Ardila, Jose Aguilar, et al.
Informatics in Medicine Unlocked|December 22, 2021
Ontological engineering for the definition of a COVID-19 pandemic ontologyAlexandra González-Eras, Ricardo Dos Santos, Jose Aguilar, et al.
Sensors (Basel, Switzerland)|May 7, 2020
Recognition of the Driving Style in Vehicle DriversJorge Cordero, Jose Aguilar, Kristell Aguilar, et al.
Computers in Biology and Medicine|May 30, 2021
Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variablesYullis Quintero, Douglas Ardila, Edgar Camargo, et al.
Pageof 4