Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Andres Hernandez-Matamoros"'
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2864 (2024)
In the rapidly evolving landscape of healthcare technology, the critical need for robust privacy safeguards is undeniable. Local Differential Privacy (LDP) offers a potential solution to address privacy concerns in data-rich industries. However, chal
Externí odkaz:
https://doaj.org/article/c038171d6e744810bd4546a0d9e3ac13
Publikováno v:
2022 19th Annual International Conference on Privacy, Security & Trust (PST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cef238ede1ef756c07445ce5938d9d0e
https://doi.org/10.1109/pst55820.2022.9851976
https://doi.org/10.1109/pst55820.2022.9851976
Publikováno v:
Information Sciences. 560:217-234
One-class classification is a machine learning problem, where training data has only one class. The objective is to determine if the input data is seen class or unseen class. Traditional deep learning algorithms are not suitable for this task since t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2573b5526da0baff4287500cb8f82b
https://doi.org/10.1016/j.ins.2021.01.069
https://doi.org/10.1016/j.ins.2021.01.069
Publikováno v:
Information Sciences. 541:218-241
Human health is threatened by several diseases for this reason automated medical diagnosis systems has been developed several years ago. These systems need databases, the creation of these databases is tedious, arduous and stops being done so the cre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::279f054d27dcb65f630d13ac1d0c2d65
https://doi.org/10.1016/j.ins.2020.06.019
https://doi.org/10.1016/j.ins.2020.06.019
Autor:
Enrique Escamilla-Hernandez, Andres Hernandez-Matamoros, Hamido Fujita, Mariko Nakano-Miyatake, Hector Perez-Meana
Publikováno v:
Biocybernetics and Biomedical Engineering. 40:803-814
Heart disease is the principal cause of death across the globe and the ECG signals are used to diagnose it. The correct classification of this disease allows us the opportunity to apply a more focused treatment. ECG signals are fed into Automated Dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e77ef440c32f1990b9955d9faec7a74
https://doi.org/10.1016/j.bbe.2020.02.007
https://doi.org/10.1016/j.bbe.2020.02.007
Autor:
Hamido Fujita, Andres Hernandez-Matamoros, Hector Perez-Meana, Enrique Escamilla-Hernandez, Mariko Nakano-Miyatake
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:2859-2870
One of the most significant current discussions in Computer Science is the skin recognition. Many papers have studied the skin detection using different techniques, artificial vision, machine learning, deep learning among others. Despite its long suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::885a9eabb57c850d5db560c989683a65
https://doi.org/10.1007/s12652-019-01400-4
https://doi.org/10.1007/s12652-019-01400-4
'This book constitutes the refereed proceedings of the 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2024, held in Hradec Kral
Publikováno v:
Applied Soft Computing
COVID-2019 is a global threat, for this reason around the world, researches have been focused on topics such as to detect it, prevent it, cure it, and predict it. Different analyses propose models to predict the evolution of this epidemic. These anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f6dcc3d89f1dd8186584121c5f939ef
Autor:
Hector Perez-Meana, Mariko Nakano-Miyatake, Andres Hernandez-Matamoros, Enrique Escamilla-Hernandez, Andrea Bonarini
This paper proposes a facial expression recognition algorithm that automatically detects the facial image contained in a color picture and segments it in two regions of interest (ROI)—the forehead/eyes and the mouth—which are then divided into no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b13b88020c9b8038323ba41db0121224
http://hdl.handle.net/11311/1023619
http://hdl.handle.net/11311/1023619
Autor:
Andrea Bonarini, Enrique Escamilla-Hernandez, Mariko Nakano-Miyatake, Andres Hernandez-Matamoros, Hector Perez-Meana
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319226880
SoMeT
SoMeT
This paper proposes a facial expression recognition algorithm, which automatically detects and segments the face regions of interest (ROI) such as the forehead, eyes and mouth, etc. Proposed scheme initially detects the image face and segments it in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b85a8636fa5dfcad3788c62ebd35a745
http://hdl.handle.net/11311/971067
http://hdl.handle.net/11311/971067