Quantifying the hardness of bioactivity prediction tasks for transfer learning
- DOI
- 10.26434/chemrxiv-2024-871mt
- Published
- 2024-01-29
- Container
- Not recorded
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.26434/chemrxiv-2024-871mt,
title = {Quantifying the hardness of bioactivity prediction tasks for transfer learning},
author = {Hosein Fooladi and Steffen Hirte and Johannes Kirchmair},
year = {2024},
doi = {10.26434/chemrxiv-2024-871mt},
url = {https://doi.org/10.26434/chemrxiv-2024-871mt}
}RIS
TY - JOUR TI - Quantifying the hardness of bioactivity prediction tasks for transfer learning AU - Hosein Fooladi AU - Steffen Hirte AU - Johannes Kirchmair PY - 2024 DO - 10.26434/chemrxiv-2024-871mt UR - https://doi.org/10.26434/chemrxiv-2024-871mt ER -
APA
Fooladi, H., Hirte, S., & Kirchmair, J. (2024). Quantifying the hardness of bioactivity prediction tasks for transfer learning. https://doi.org/10.26434/chemrxiv-2024-871mt
Source records
- crossref · retrieved 2026-09-27T08:15:24.025Z