Cite
Saračević, M., Zajmović, M., Rajasekar, V., Krishnamoorthi, S., Pepić, D., & Zogić, H. (2022). Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--. Computer Science, 23(1), 117–132. https://doi.org/10.7494/csci.2022.23.1.4315
M. Saračević, M. Zajmović, V. Rajasekar, S. Krishnamoorthi, D. Pepić, and H. Zogić, "Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--," Computer Science, vol. 23, no. 1, pp. 117–132, 2022. doi: 10.7494/csci.2022.23.1.4315.
@article{Saracevic2022EnsembleMa,
author = {Sara{\v{c}}evi{\'c}, Muzafer and Zajmovi{\'c}, Mahir and Rajasekar, Vani and Krishnamoorthi, Sathya and Pepi{\'c}, Dzenis and Zogi{\'c}, Haris},
title = {Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--},
journal = {Computer Science},
year = {2022},
volume = {23},
number = {1},
pages = {117--132},
doi = {10.7494/csci.2022.23.1.4315},
note = {Available online}
}
TY - JOUR
AU - Saračević, Muzafer
AU - Zajmović, Mahir
AU - Rajasekar, Vani
AU - Krishnamoorthi, Sathya
AU - Pepić, Dzenis
AU - Zogić, Haris
TI - Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--
JO - Computer Science
PY - 2022
VL - 23
IS - 1
SP - 117
EP - 132
DO - 10.7494/csci.2022.23.1.4315
UR - https://nir.mef.edu.rs/repository/handle/ed505cb9-911a-11ee-852a-b483510689d4
ER -