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New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders., , , , , , и . Frontiers Neuroinformatics, (2018)Azure Machine Learning tools efficiency in the electroencephalographic signal P300 standard and target responses classification., , , , и . Bio-Algorithms and Med-Systems, (2019)Optimizing predictability of rating scales by differential evolution for the use by collective intelligent information and database systems., , , , и . J. Intell. Fuzzy Syst., 37 (6): 7545-7553 (2019)Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools., , , , , , и . Frontiers Neuroinformatics, (2019)Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning., , и . F1000Research, (2018)Adaptation of the humanoid robot to speech disfluency therapy., , , и . Bio Algorithms Med Syst., 12 (4): 169-177 (2016)Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders., , , , , , и . Frontiers Neuroinformatics, (2018)Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis., , , и . Frontiers Neuroinformatics, (2018)