LIFEDATA - A Framework for Traceable Active Learning Projects
Author:
Affiliation:
1. Institute of Computer Science, University of Augsburg,Germany
2. GS Elektromedizinische Geräte G. Stemple GmbH,Kaufering,Germany
Funder
German Federal Ministry of Education and Research (BMBF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10260706/10260713/10260818.pdf?arnumber=10260818
Reference53 articles.
1. modAL: A modular active learning framework for Python;danka;ArXiv,2018
2. Improving generalization with active learning
3. Exploring Representativeness and Informativeness for Active Learning;bo;IEEE Transactions on Cybernetics,2017
4. Semi-Automated Data Labeling;desmond;Journal of Machine Learning Research,2021
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1. Towards a Framework for Interdisciplinary Studies in Explainable Artificial Intelligence;Lecture Notes in Computer Science;2024
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