| Texto completo | |
| Autor(es): |
Pereira, Clayton R.
;
Passos, Leandro A.
;
Lopes, Ricardo R.
;
Weber, Silke A. T.
;
Hook, Christian
;
Papa, Joao Paulo
;
Felsberg, M
;
Heyden, A
;
Kruger, N
Número total de Autores: 9
|
| Tipo de documento: | Artigo Científico |
| Fonte: | COMPUTER ANALYSIS OF IMAGES AND PATTERNS; v. 10425, p. 11-pg., 2017-01-01. |
| Resumo | |
Currently, Parkinson's Disease (PD) has no cure or accurate diagnosis, reaching approximately 60, 000 new cases yearly and worldwide, being more often in the elderly population. Its main symptoms can not be easily uncorrelated with other illness, being way more difficult to be identified at the early stages. As such, computer-aided tools have been recently used to assist in this task, but the challenge in the automatic identification of Parkinson's Disease still persists. In order to cope with this problem, we propose to employ Restricted Boltzmann Machines (RBMs) to learn features in an unsupervised fashion by analyzing images from handwriting exams, which aim at assessing the writing skills of potential individuals. These are one of the main symptoms of PD-prone people, since such kind of ability ends up being severely affected. We show that RBMs can learn proper features that help supervised classifiers in the task of automatic identification of PD patients, as well as one can obtain a more compact representation of the exam for the sake of storage and computational load purposes. (AU) | |
| Processo FAPESP: | 14/16250-9 - Sobre a otimização de parâmetros em técnicas de aprendizado de máquina: avanços e paradigmas |
| Beneficiário: | João Paulo Papa |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 15/25739-4 - Estudo de Semântica em Modelos de Aprendizado em Profundidade |
| Beneficiário: | Gustavo Henrique de Rosa |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |
| Processo FAPESP: | 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo? |
| Beneficiário: | Alexandre Xavier Falcão |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 16/21243-7 - Aprendendo Parâmetros de Remoção em Redes Neurais por Convolução |
| Beneficiário: | Gustavo Henrique de Rosa |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Mestrado |