Castro-Macías, F. M., Morales-Álvarez, P., Wu, Y., Molina, R., & Katsaggelos, A. K. (2024). Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
Chicago Style (17th ed.) CitationCastro-Macías, F. M., P. Morales-Álvarez, Y. Wu, R. Molina, and A. K. Katsaggelos. Hyperbolic Secant Representation of the Logistic Function: Application to Probabilistic Multiple Instance Learning for CT Intracranial Hemorrhage Detection. 2024.
MLA (9th ed.) CitationCastro-Macías, F. M., et al. Hyperbolic Secant Representation of the Logistic Function: Application to Probabilistic Multiple Instance Learning for CT Intracranial Hemorrhage Detection. 2024.
Warning: These citations may not always be 100% accurate.