This is an implementation of our paper: "An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets", which is updated from ...

Objectives: to analyze the scientific evidence on the strategies of active learning methodologies used in the training of nurses, as well as their contributions and obstacles in training. Methods: ...

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Criteria are provided, which can be ...

Abstract: This contribution aims to share teaching experience in higher education. Methods were applied and assessed to improve teaching through active tutorials with modular classroom furniture and ...

Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled ...