Ivankovic, K., Principe, A., Montoya-Gálvez, J., Manubens-Gil, L., Zucca, R., Villoslada, P., . . . Rocamora, R. A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction. Elsevier.
Chicago Style (17th ed.) CitationIvankovic, Karla, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, and Rodrigo Rocamora. A Novel Way to Use Cross-validation to Measure Connectivity by Machine Learning Allows Epilepsy Surgery Outcome Prediction. Elsevier.
MLA (9th ed.) CitationIvankovic, Karla, et al. A Novel Way to Use Cross-validation to Measure Connectivity by Machine Learning Allows Epilepsy Surgery Outcome Prediction. Elsevier.
Warning: These citations may not always be 100% accurate.