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Neural Networks for the Parameters Characterization of ECG Dynamical Model.

, , , and . WIRN, volume 193 of Frontiers in Artificial Intelligence and Applications, page 40-49. IOS Press, (2008)

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Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks., , and . WIRN/NAIS, volume 3931 of Lecture Notes in Computer Science, page 171-178. Springer, (2005)Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmas.. ICNN, page 937-941. IEEE, (1995)Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures., , , and . Int. J. Neural Syst., (2012)On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data., , and . WILF, volume 2955 of Lecture Notes in Computer Science, page 119-126. Springer, (2003)Television Programs Classification via Deep Learning Approach Using SSMI-CNN., , and . AII, page 293-307. (2022)Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps., , , , , and . AII, page 159-173. (2022)Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings., , , , , , , , and . RTSI, page 1-6. IEEE, (2016)Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease., , , , , , , , and . CEC, page 1241-1248. IEEE, (2016)Neural Networks for the Parameters Characterization of ECG Dynamical Model., , , and . WIRN, volume 193 of Frontiers in Artificial Intelligence and Applications, page 40-49. IOS Press, (2008)Erratum: Änalysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures"., , , and . Int. J. Neural Syst., (2013)