A. Abdelkrim, A. Bouramoul, I. Zenbout and S. Brahimi. 2023. Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. In Proceedings of the 2023 International Conference on Networking and Advanced Systems (ICNAS), 1-7. DOI: https://doi.org/10.1109/ICNAS59892.2023.10330448.

Abdelkrim, A., Bouramoul, A., Zenbout, I. & Brahimi, S. (2023). Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. In Proceedings of the 2023 International Conference on Networking and Advanced Systems (ICNAS), 1-7. DOI: https://doi.org/10.1109/ICNAS59892.2023.10330448

A. Abdelkrim, A. Bouramoul, I. Zenbout and S. Brahimi, "Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors". In Proceedings of the 2023 International Conference on Networking and Advanced Systems (ICNAS), pp. 1-7, 2023. DOI: https://doi.org/10.1109/ICNAS59892.2023.10330448.

@inproceedings{misc-lab-428,
author = {Abdelkrim, Ali and Bouramoul, Abdelkrim and Zenbout, Imene and Brahimi, Said},
title = {Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors},
booktitle = {2023 International Conference on Networking and Advanced Systems (ICNAS)},
pages = {1--7},
year = {2023},
doi = {10.1109/ICNAS59892.2023.10330448},
url = {https://doi.org/10.1109/ICNAS59892.2023.10330448},
keywords = {Logistic regression;Sensitivity;Inhibitors;Biological system modeling;Buildings;Fingerprint recognition;Multilayer perceptrons;Machine Learning;Aromatase;Breast Cancer;QSAR;Pubchem Fingerprints}
}

TY  - CONF
TI  - Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors
AU  - A. Abdelkrim
AU  - A. Bouramoul
AU  - I. Zenbout
AU  - S. Brahimi
PY  - 2023
BT  - 2023 International Conference on Networking and Advanced Systems (ICNAS)
SP  - 1
EP  - 7
KW  - Logistic regression;Sensitivity;Inhibitors;Biological system modeling;Buildings;Fingerprint recognition;Multilayer perceptrons;Machine Learning;Aromatase;Breast Cancer;QSAR;Pubchem Fingerprints
DO  - 10.1109/ICNAS59892.2023.10330448
UR  - https://doi.org/10.1109/ICNAS59892.2023.10330448
ID  - misc-lab-428
ER  -