Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data - Hayes, Nicole; Merkurjev, Ekaterina; Wei, Guo-Wei (Computers in biology and medicine, 2023)
Keywords: Algorithms; Autoencoder; Computer applications; Datasets; Decision trees; Internal Medicine; Other; R-S scores; Random Forest; Scarcely labeled data; Small data; Spectral graph; Support Vector Machine; Support vector machines; Transfer learning; Transformer; Transformers; Spectral graph; Small data; Scarcely labeled data; R-S scores; Transformer; Autoencoder