Resampled dimensional reduction for feature representation in machine learning
Systematic human learning by literature and data mining for feature selection in machine learning
Deep-insight visible neural network (DI-VNN) for improving interpretability of a non-image deep learning model by data-driven ontology
Human and machine learning pipelines for responsible clinical prediction using high-dimensional data
Global Tracking of Climate Change Adaptation Policy Using Machine Learning: a Systematic Map Protocol
Quantifying medical histories with the Kaplan-Meier (KM) estimator for feature extraction of electronic health records in machine learning
Data storage using peptide sequences
A protocol for reconstructing the dynamics of real-world systems from observational data: Application for establishing a digital proxy of a bioreactor (DIYBOT)
Forecasting the long-term trend of COVID-19 epidemic using a dynamic model