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Spectral and textural features for automatic classification of fricatives using SVM., и . IWSSIP, стр. 99-102. IEEE, (2014)Classifying the valence of autobiographical memories from fMRI data., , и . Ann. Math. Artif. Intell., 88 (11): 1261-1274 (2020)Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning., и . IJCNN, стр. 1-8. IEEE, (2020)The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks., , , , , и . Trans. Comput. Collect. Intell., (2016)Applications and development of machine learning methods for biological signals arising from cognitive processes.. University of Haifa, Israel, (2017)Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract., , и . SwSTE, стр. 63-64. IEEE, (2014)Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI., , , , , и . IJCNN, стр. 4637-4642. IEEE, (2016)Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory., , , , , и . IJCCI (NCTA), стр. 114-121. SciTePress, (2015)Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space., , и . IJCNN, стр. 1-9. IEEE, (2019)Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques., , , , , и . SwSTE, стр. 50-53. IEEE, (2014)