Ananganó-Alvarado, G.; Lam-Esquenazi, E.; Montofré-Bacigalupo, Í.; Rojas-Ardiles, R.; Flores-Bustos, A.; Flores-Bustos, C.; Keith-Norambuena, B.; Bech, J.
Beyond Traditional Methods: Machine Learning for Geochemical Baselines and Anomaly Detection. Minerals 2026, 16, 700.
https://doi.org/10.3390/min16070700
AMA Style
Ananganó-Alvarado G, Lam-Esquenazi E, Montofré-Bacigalupo Í, Rojas-Ardiles R, Flores-Bustos A, Flores-Bustos C, Keith-Norambuena B, Bech J.
Beyond Traditional Methods: Machine Learning for Geochemical Baselines and Anomaly Detection. Minerals. 2026; 16(7):700.
https://doi.org/10.3390/min16070700
Chicago/Turabian Style
Ananganó-Alvarado, Georginio, Elizabeth Lam-Esquenazi, Ítalo Montofré-Bacigalupo, Rodrigo Rojas-Ardiles, Angélica Flores-Bustos, Carolina Flores-Bustos, Brian Keith-Norambuena, and Jaume Bech.
2026. "Beyond Traditional Methods: Machine Learning for Geochemical Baselines and Anomaly Detection" Minerals 16, no. 7: 700.
https://doi.org/10.3390/min16070700
APA Style
Ananganó-Alvarado, G., Lam-Esquenazi, E., Montofré-Bacigalupo, Í., Rojas-Ardiles, R., Flores-Bustos, A., Flores-Bustos, C., Keith-Norambuena, B., & Bech, J.
(2026). Beyond Traditional Methods: Machine Learning for Geochemical Baselines and Anomaly Detection. Minerals, 16(7), 700.
https://doi.org/10.3390/min16070700
