Abstract Explainable artificial intelligence (XAI) has gained increasing attention in the medical field, where understanding the reasons for predictions is crucial. In this paper we introduce an interactive and dynamic…
[Pytorch] Bayesian Inference Neural Network in Mortality
Bayesian Neural Networks (B-MLP, B-LSTM)Keywords: Bayesian Neural Network, Mortality Prediction, MLP, LSTM, VAE, Stochastic Variational Inference
[EI] An Efficient Tool for Semantic Biomedical Document Analysis
Previous research experience. Online link: Link Abstract Semantic text mining is a challenging research topic in recent years. Many types of research focus on measuring the similarity of two documents…
[Pytorch] COVID-19 Single-cell Differential Analysis with Explainable Machine Learning Models
In this project, We Built a pipeline upon Scanpy to fast exploration to COVID-19 single-cell sequence datasets. Supported scRNA-seq preprocess, dimension-reduction visualization (Umap & Tsne), classification and differential gene…
[.Net] Real-time AIS Message Decoder/Parser and MapVis
Real-time AIS message parser/decoder, visualise in the map. Support hardware interface connection, real-time batch-messages parsing. Map visualization of message location; hover box displays decoded message. Support email decoded message file.…