Cargando…
Explaining COVID-19 diagnosis with Taylor decompositions
The COVID-19 pandemic has devastated the entire globe since its first appearance at the end of 2019. Although vaccines are now in production, the number of contaminations remains high, thus increasing the number of specialized personnel that can analyze clinical exams and points out the final diagno...
Autores principales: | Hassan, Mohammad Mehedi, AlQahtani, Salman A., Alelaiwi, Abdulhameed, Papa, João P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672580/ https://www.ncbi.nlm.nih.gov/pubmed/36415284 http://dx.doi.org/10.1007/s00521-022-08021-7 |
Ejemplares similares
-
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation
por: Li, Hao, et al.
Publicado: (2022) -
FEBDNN: fusion embedding-based deep neural network for user retweeting behavior prediction on social networks
por: Wang, Lidong, et al.
Publicado: (2022) -
Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies
por: Lee, Ming-Che, et al.
Publicado: (2022) -
A convolutional neural network based approach to financial time series prediction
por: Durairaj, Dr. M., et al.
Publicado: (2022) -
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
por: Arcolezi, Héber Hwang, et al.
Publicado: (2022)