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Irsan Hardi

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An interpretable Bayesian-optimized XGBoost framework for neuropsychiatric drug candidate classification

Journal article

T. R. Noviandy, Ghalieb Mutig Idroes, Irsan Hardi
Iran Journal of Computer Science, 2025
Semantic Scholar DOI
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APA   Click to copy
Noviandy, T. R., Idroes, G. M., & Hardi, I. (2025). An interpretable Bayesian-optimized XGBoost framework for neuropsychiatric drug candidate classification. Iran Journal of Computer Science.

Chicago/Turabian   Click to copy
Noviandy, T. R., Ghalieb Mutig Idroes, and Irsan Hardi. “An Interpretable Bayesian-Optimized XGBoost Framework for Neuropsychiatric Drug Candidate Classification.” Iran Journal of Computer Science (2025).

MLA   Click to copy
Noviandy, T. R., et al. “An Interpretable Bayesian-Optimized XGBoost Framework for Neuropsychiatric Drug Candidate Classification.” Iran Journal of Computer Science, 2025.

BibTeX   Click to copy 

@article{t2025a,
  title = {An interpretable Bayesian-optimized XGBoost framework for neuropsychiatric drug candidate classification},
  year = {2025},
  journal = {Iran Journal of Computer Science},
  author = {Noviandy, T. R. and Idroes, Ghalieb Mutig and Hardi, Irsan}
}