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A machine learning approach for predicting post-stroke aphasia recovery: a pilot study., , , , , , , , , и 3 other автор(ы). PETRA, стр. 22:1-22:9. ACM, (2020)Cognitive interference modulates speech acoustics in a vowel-modified Stroop task., , и . CogSci, cognitivesciencesociety.org, (2018)Constructing Individualized Computational Models for Dementia Patients., , , , , , и . CogSci, cognitivesciencesociety.org, (2022)Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model., , , и . WSOM, том 6731 из Lecture Notes in Computer Science, стр. 207-217. Springer, (2011)An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery., , , , , , , , , и 3 other автор(ы). PETRA, стр. 556-564. ACM, (2021)Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis., , , , , , , , и . NeuroImage, (2013)Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data., , , , , , , , , и . ICCV (Workshops), стр. 2636-2645. IEEE, (2023)Modeling the Bilingual Lexicon of an Individual Subject., и . WSOM, том 5629 из Lecture Notes in Computer Science, стр. 191-199. Springer, (2009)