research
∙
05/02/2023
BrainNPT: Pre-training of Transformer networks for brain network classification
Deep learning methods have advanced quickly in brain imaging analysis ov...
share
research
∙
03/28/2023
Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification
Graph or network has been widely used for describing and modeling comple...
research
∙
01/22/2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Morphological attributes from histopathological images and molecular pro...
research
∙
10/19/2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features
The challenge of solving data mining problems in e-commerce applications...
research
∙
04/13/2021
MESD: Exploring Optical Flow Assessment on Edge of Motion Objects with Motion Edge Structure Difference
The optical flow estimation has been assessed in various applications. I...
research
∙
02/02/2019
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
In this paper, we present a generative retrieval method for sponsored se...
research
∙
12/10/2018
