Order Article Reprints

Varone G, Gasparini S, Ferlazzo E, Ascoli M, Tripodi GG, Zucco C, Calabrese B, Cannataro M, Aguglia U. A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. Sensors. 2020; 20(4):1235. https://doi.org/10.3390/s20041235

Varone, Giuseppe, Sara Gasparini, Edoardo Ferlazzo, Michele Ascoli, Giovanbattista Gaspare Tripodi, Chiara Zucco, Barbara Calabrese, Mario Cannataro, and Umberto Aguglia. 2020. "A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects" Sensors 20, no. 4: 1235. https://doi.org/10.3390/s20041235

Varone, G., Gasparini, S., Ferlazzo, E., Ascoli, M., Tripodi, G. G., Zucco, C., Calabrese, B., Cannataro, M., & Aguglia, U. (2020). A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. Sensors, 20(4), 1235. https://doi.org/10.3390/s20041235