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Age, Disease, and Their Interaction Effects on Intrinsic Connectivity of Children and Adolescents in Autism Spectrum Disorder Using Functional Connectomics., , , и . Brain Connect., 8 (7): 407-419 (2018)Chunking Phenomenon in Complex Sequential Skill Learning in Humans., , , и . ICONIP, том 3316 из Lecture Notes in Computer Science, стр. 294-299. Springer, (2004)Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction., и . In Silico Biology, 9 (1-2): S1-S16 (2009)Rough clustering of sequential data., , , и . Data Knowl. Eng., 63 (2): 183-199 (2007)Data-efficient Deep Learning Approach for Single-Channel EEG-Based Sleep Stage Classification with Model Interpretability., , , , и . CoRR, (2023)Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma., , и . Comput. Biol. Medicine, (2018)Application of Multilayer Perceptron Network for Tagging Parts-of-Speech., , , и . Language Engineering Conference, стр. 57. IEEE Computer Society, (2002)Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age., , , и . IJCNN, стр. 1-7. IEEE, (2022)Value-of-Information based Arbitration between Model-based and Model-free Control., , , и . CogSci, cognitivesciencesociety.org, (2020)A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning., и . ICONIP, стр. 260-263. IOA Press, (1998)