The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/206ef581-11a1-4a01-9595-576e7ec8b7c1

Tepeli, Yasin; de Wolf, Mathijs; Gonçalves, Joana (2024): Data and code underlying the publication: Metric-DST: Mitigating Selection Bias Through Diversity-guided Semi Supervised Metric Learning. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/206ef581-11a1-4a01-9595-576e7ec8b7c1.v1

Dataset

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

diversity, metric learning, selection bias, semisupervised learning, unlabeled data

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Yasin Tepeli , Mathijs de Wolf , Joana Gonçalves

This repository consists of Data/Code to reproduce the results of the paper "Metric-DST: Mitigating Selection Bias Through Diversity-guided Semi Supervised Metric Learning".

The data is shared at: https://doi.org/10.6084/m9.figshare.27720726.v1

The code is shared at: https://github.com/joanagoncalveslab/Metric-DST

• 2024-11-25 first online, published, posted

4TU.ResearchData

https://doi.org/10.6084/m9.figshare.27720726

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Bioinformatics Lab