Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry.
- DOI
- 10.2174/1568026618666171212111018
- Published
- 2018 Feb 9
- Container
- Current topics in medicinal chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2174/1568026618666171212111018,
title = {Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry.},
author = {Pham-The H and Nam NH and Nga DV and Hai DT and Dieguez-Santana K and Marrero-Poncee Y and Castillo-Garit JA and Casanola-Martin GM and Le-Thi-Thu H},
year = {2018},
journal = {Current topics in medicinal chemistry},
doi = {10.2174/1568026618666171212111018},
url = {https://doi.org/10.2174/1568026618666171212111018}
}RIS
TY - JOUR TI - Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry. AU - Pham-The H AU - Nam NH AU - Nga DV AU - Hai DT AU - Dieguez-Santana K AU - Marrero-Poncee Y AU - Castillo-Garit JA AU - Casanola-Martin GM AU - Le-Thi-Thu H PY - 2018 JO - Current topics in medicinal chemistry DO - 10.2174/1568026618666171212111018 UR - https://doi.org/10.2174/1568026618666171212111018 ER -
APA
H, P., NH, N., DV, N., DT, H., K, D., Y, M., JA, C., GM, C., & H, L. (2018). Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry.. Current topics in medicinal chemistry. https://doi.org/10.2174/1568026618666171212111018
Source records
- pubmed · retrieved 2026-09-26T10:18:31.795Z