This Figshare repository contains data used in the study entitled "Role of Multifidelity Data in Sequential Active Learning Materials Discovery Campaigns: Case Study of Electronic Bandgap", by Ryan Ja
Project: Using Generative AI to Develop Active Learning Experiencesâ Project ID: using_large_language_models_in Section: Using Generative AI to Develop Active Learning Experience Section ID: usi
We include samples of various data types used in the work "Multi-label Pathway Prediction based on Active Dataset Subsampling" (under-review) More information about the software package and instructio
In this dataset, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotati
Abstract This article reports the experience of a single embedded case study that discusses the application of active learning methods. It aims to broaden the understanding of the benefits and the ope