Residual Sparse Autoencoders for Unsupervised Feature Learning and Its Application to HEp-2 Cell Staining Pattern Recognition
Intelligent systems reference library2019pp. 181–199
Citations Over Time
Related Papers
- → Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images(2017)8 cited
- → Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder(2022)6 cited
- → Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition(2018)1 cited
- → Residual Sparse Autoencoders for Unsupervised Feature Learning and Its Application to HEp-2 Cell Staining Pattern Recognition(2019)1 cited
- → A deep learning approach for stock market prediction using deep autoencoder and long short-term memory(2021)1 cited