BolÃvar, A.; GarcÃa, V.; Alejo, R.; Florencia-Juárez, R.; Sánchez, J.S.
Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping. Appl. Sci. 2024, 14, 5845.
https://doi.org/10.3390/app14135845
AMA Style
BolÃvar A, GarcÃa V, Alejo R, Florencia-Juárez R, Sánchez JS.
Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping. Applied Sciences. 2024; 14(13):5845.
https://doi.org/10.3390/app14135845
Chicago/Turabian Style
BolÃvar, Armando, Vicente GarcÃa, Roberto Alejo, Rogelio Florencia-Juárez, and J. Salvador Sánchez.
2024. "Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping" Applied Sciences 14, no. 13: 5845.
https://doi.org/10.3390/app14135845
APA Style
BolÃvar, A., GarcÃa, V., Alejo, R., Florencia-Juárez, R., & Sánchez, J. S.
(2024). Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping. Applied Sciences, 14(13), 5845.
https://doi.org/10.3390/app14135845