research
∙
07/28/2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model
In this study, we address the interpretability issue in complex, black-b...
share
research
∙
06/28/2021
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
Machine Learning (ML) and its applications have been transforming our li...
research
∙
10/08/2020
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder
Researchers have been overwhelmed by the explosion of research articles ...
research
∙
07/04/2020
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests
Patients with Acute Kidney Injury (AKI) increase mortality, morbidity, a...
research
∙
07/03/2019
Towards Interpretable Deep Extreme Multi-label Learning
Many Machine Learning algorithms, such as deep neural networks, have lon...
research
∙
07/12/2018
Process Discovery using Classification Tree Hidden Semi-Markov Model
Various and ubiquitous information systems are being used in monitoring,...
research
∙
07/12/2018
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization
Due to recent explosion of text data, researchers have been overwhelmed ...
research
∙
07/09/2018
