Cargando…
A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling
Computer science discipline includes many research fields, which mutually influence and promote each other's development. This poses two great challenges of predicting the research topics of each research field. One is how to model fine-grained topic representation of a research field. The othe...
Autores principales: | Xu, Mingying, Du, Junping, Guan, Zeli, Xue, Zhe, Kou, Feifei, Shi, Lei, Xu, Xin, Li, Ang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710157/ https://www.ncbi.nlm.nih.gov/pubmed/34961813 http://dx.doi.org/10.1155/2021/1766743 |
Ejemplares similares
-
Retracted: A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition
por: Liu, Leyuan, et al.
Publicado: (2021) -
An intelligent Chatbot using deep learning with Bidirectional RNN and attention model
por: Dhyani, Manyu, et al.
Publicado: (2021) -
Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network
por: Sun, Jie
Publicado: (2023) -
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
por: Kamyab, Marjan, et al.
Publicado: (2022)