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Abstract: Active learning (AL) is a semi-supervised learning algorithm based on human-computer interaction. It aims to achieve satisfactory performance with less manual annotation costs. How to select ...

Holidays bring celebration, rest and, for many families, long stretches of indoor time. For some, this means tabletop games quickly reappear on kitchen tables. Games provide opportunities for learning ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...

Students spend hours organizing messy notes into effective study guides. AI tools can instantly convert notes into quizzes and flashcards, saving significant study time. Active learning methods like ...

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...

The ESP32-Stick-PoE-A-Cam(N16R8) is an open-source ESP32-S3 development board with Ethernet, camera, and active PoE support designed for machine learning applications. Compared to similar boards like ...

Introduction: Recognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual ...

Although it would be useful to incorporate these ML protocols within large-scale virtual screening campaigns in a consistent manner, the performance of these ML algorithms depends on the target and ...