research
∙
07/21/2023
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data
Many diseases, including cancer and chronic conditions, require extended...
share
research
∙
06/29/2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction
Biological data may be separated into primary data, such as gene express...
research
∙
12/21/2022
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network
Drug repositioning holds great promise because it can reduce the time an...
research
∙
06/27/2022
Learning Deep Input-Output Stable Dynamics
Learning stable dynamics from observed time-series data is an essential ...
research
∙
05/31/2022
Individual health-disease phase diagrams for disease prevention based on machine learning
Early disease detection and prevention methods based on effective interv...
research
∙
08/14/2021
MatSat: a matrix-based differentiable SAT solver
We propose a new approach to SAT solving which solves SAT problems in ve...
research
∙
10/30/2020
Health improvement framework for planning actionable treatment process using surrogate Bayesian model
Clinical decision making regarding treatments based on personal characte...
research
∙
03/27/2019
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
Graph Convolutional Networks (GCNs) are recently getting much attention ...
research
∙
01/20/2019
