A carregar...
Explaining Deep Classification of Time-Series Data with Learned Prototypes
The emergence of deep learning networks raises a need for explainable AI so that users and domain experts can be confident applying them to high-risk decisions. In this paper, we leverage data from the latent space induced by deep learning models to learn stereotypical representations or “prototypes...
Na minha lista:
| Publicado no: | CEUR Workshop Proc |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8050893/ https://ncbi.nlm.nih.gov/pubmed/33867901 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|