Cargando…
An Autoencoder-Based Deep Learning Classifier for Efficient Diagnosis of Autism
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by a lack of social communication and social interaction. Autism is a mental disorder investigated by social and computational intelligence scientists utilizing advanced technologies such as machine learning models to enha...
Autores principales: | Sewani, Harshini, Kashef, Rasha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602176/ https://www.ncbi.nlm.nih.gov/pubmed/33066454 http://dx.doi.org/10.3390/children7100182 |
Ejemplares similares
-
RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
por: Arafa, Ahmed, et al.
Publicado: (2023) -
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification
por: Mansour, Romany F., et al.
Publicado: (2021) -
Deep autoencoder based domain adaptation for transfer learning
por: Dev, Krishna, et al.
Publicado: (2022) -
An autoencoder-based deep learning method for genotype imputation
por: Song, Meng, et al.
Publicado: (2022) -
E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model
por: Aljasim, Mustafa, et al.
Publicado: (2022)