Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Wheidima Carneiro de Melo"'
Publikováno v:
IEEE Transactions on Affective Computing. 13:1581-1592
Recently, deep learning models have been successfully employed in video-based affective computing applications. One key application is automatic depression recognition from facial expressions. State-of-the-art approaches to recognize depression typic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887f15185338f878f3401918ee6ad6aa
https://doi.org/10.1109/taffc.2020.3021755
https://doi.org/10.1109/taffc.2020.3021755
Publikováno v:
ICASSP
De Melo, W C, Granger, E & Lopez, M B 2020, Encoding Temporal Information for Automatic Depression Recognition from Facial Analysis . in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech, and Signal Processing . IEEE Institute of Electrical and Electronic Engineers, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2020, pp. 1080-1084, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain, 4/05/20 . https://doi.org/10.1109/ICASSP40776.2020.9054375
De Melo, W C, Granger, E & Lopez, M B 2020, Encoding Temporal Information for Automatic Depression Recognition from Facial Analysis . in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech, and Signal Processing . IEEE Institute of Electrical and Electronic Engineers, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2020, pp. 1080-1084, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain, 4/05/20 . https://doi.org/10.1109/ICASSP40776.2020.9054375
Depression is a mental illness that may be harmful to an individual’s health. Using deep learning models to recognize the facial expressions of individuals captured in videos has shown promising results for automatic depression detection. Typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42c3437b1ae7ec3e5c63153f3ef7884
https://doi.org/10.1109/icassp40776.2020.9054375
https://doi.org/10.1109/icassp40776.2020.9054375
Publikováno v:
ICIP
Major depressive disorder is among the most common and harmful mental health problems. Several deep learning architectures have been proposed for video-based detection of depression based on the facial expressions of subjects. To predict the depressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51dba730f8921b05fea4f80c33c363a8
https://doi.org/10.1109/icip.2019.8803467
https://doi.org/10.1109/icip.2019.8803467
Publikováno v:
FG
Deep learning architectures have been successfully applied in video-based health monitoring, to recognize distinctive variations in the facial appearance of subjects. To detect patterns of variation linked to depressive behavior, deep neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b737ad595906a59eafc05c41352d7c55
http://urn.fi/urn:nbn:fi-fe202003248955
http://urn.fi/urn:nbn:fi-fe202003248955
Autor:
Israel Gondres Torné, Lennon Brandão Freitas do Nascimento, Daniel Sousa da Silva, Wheidima Carneiro de Melo, Daniel Guzmán del Río
Publikováno v:
Proceedings of the 4th Brazilian Technology Symposium (BTSym'18) ISBN: 9783030160524
This article presents a study of a neural network applied to estimate losses in core and winding of three-phase distribution network. The architecture of neural network used was the topology Multiple Layer Perceptron and training algorithm Levenberg-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20d90b979ac80e46c9a0491e41be7367
https://doi.org/10.1007/978-3-030-16053-1_25
https://doi.org/10.1007/978-3-030-16053-1_25
Publikováno v:
Journal of Communication and Information Systems. 31:188-197
Recently, two-dimensional techniques were successfully employed for encoding surface electromyographic (S-EMG) records, through the use of off-the-shelf image encoders as an effective alternative for that kind of signal. However, as S-EMG signals are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9a14248172f81e095c33f000c96a92
https://doi.org/10.14209/jcis.2016.17
https://doi.org/10.14209/jcis.2016.17
Publikováno v:
Anais de XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a9301ac724362f1f65b3bbab5e9bd17
https://doi.org/10.14209/sbrt.2018.82
https://doi.org/10.14209/sbrt.2018.82
Autor:
Rebeca Rodrigues, Eddie Filho, Wheidima Carneiro de Melo, Anderson S. Jesus, Waldir S. S. Junior, Adolpho Ferreira, Victor Valente
Publikováno v:
Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e8407494e214c662e1bed027b39f4d
https://doi.org/10.14209/sbrt.2017.34
https://doi.org/10.14209/sbrt.2017.34
Publikováno v:
Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b20993e95bff9f2aabfdf3b00f6f4926
https://doi.org/10.14209/sbrt.2017.228
https://doi.org/10.14209/sbrt.2017.228
Publikováno v:
BioMedical Engineering
Background Recently, two-dimensional techniques have been successfully employed for compressing surface electromyographic (SEMG) records as images, through the use of image and video encoders. Such schemes usually provide specific compressors, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933c8212adb6f67e4e85514bfc6b9050
http://europepmc.org/articles/PMC4835940
http://europepmc.org/articles/PMC4835940