School of Information Engineering, Shanghai Maritime University, Shanghai 201306, P. R. China ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study investigates the impact of ionic liquids (ILs) on the structure and ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Applied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, ...

Objectives To develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data. Design A single-centre, retrospective cohort ...

For the last 40 years, actigraphy or wearable accelerometry has provided an objective, low-burden and ecologically valid approach to assess real-world sleep and circadian patterns, contributing ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...

This repo is an self implemention of "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection" in AAAI 2021. This repository contains a PyTorch implementation of the approach MAMBA ...

The whole lab2ust folder will be put in the UTAU plugins folder. Just follow the steps that the plugin gives you. It supports stringing together phonemes to notes. It supports the Japanese phoneme set ...

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to ...