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Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Entropy
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Volume 22
Issue 6
Entropy, Vol 22, Iss 688, p 688 (2020)
instname
Entropy
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Volume 22
Issue 6
Entropy, Vol 22, Iss 688, p 688 (2020)
This paper proposes a speech-based method for automatic depression classification. The system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is evaluated using the data and the experimental protocol provided in the Depress
Autor:
Dae Hyeon Yim, Dong Hyun Ahn, Hyun Kyung Park, Kangryul Kim, Young Hyo Lim, Seok Hyun Cho, Johanna Inhyang Kim, Sung Ho Cho, Won Hyuk Lee
Publikováno v:
Sensors, Vol 19, Iss 3, p 688 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 3
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 3
Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assess