APA (7th ed.) Citation

Shafiezadeh, S., Duma, G. M., Mento, G., Danieli, A., Antoniazzi, L., Del Popolo Cristaldi, F., . . . Testolin, A. (2023). Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients. Applied Sciences (2076-3417), 13(7), 4262. https://doi.org/10.3390/app13074262

Chicago Style (17th ed.) Citation

Shafiezadeh, Sina, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, and Alberto Testolin. "Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients." Applied Sciences (2076-3417) 13, no. 7 (2023): 4262. https://doi.org/10.3390/app13074262.

MLA (9th ed.) Citation

Shafiezadeh, Sina, et al. "Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients." Applied Sciences (2076-3417), vol. 13, no. 7, 2023, p. 4262, https://doi.org/10.3390/app13074262.