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Metabolic networks classification and knowledge discovery by information granulation., , , , и . Comput. Biol. Chem., (2020)Proteins as networks: a mesoscopic approach using haemoglobin molecule as case study, , и . Current Proteomics, 6 (4): 235--245 (2009)Model-free analysis of brain fMRI data by recurrence quantification., , , , , и . NeuroImage, 37 (2): 489-503 (2007)Experimenting Text Summarization Techniques for Contextual Advertising., , и . IIR, том 704 из CEUR Workshop Proceedings, CEUR-WS.org, (2011)Using -Diagrams on Web Data., и . ICWE Workshops, том 11153 из Lecture Notes in Computer Science, стр. 148-158. Springer, (2018)Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem., , и . CoRR, (2014)Principal Component Analysis for Descriptive Epidemiology., и . ISMDA, том 1933 из Lecture Notes in Computer Science, стр. 308-313. Springer, (2000)Singular hydrophobicity patterns and net charge: a mesoscopic principle for protein aggregation/folding, , , , , и . Physica A: Statistical Mechanics and its Applications, (15.11.2004)Content-Based Keywords Extraction and Automatic Advertisement Associations to Multimodal News Aggregations., , , , и . DART@AI*IA (Revised and Invited Papers), том 439 из Studies in Computational Intelligence, стр. 33-52. Springer, (2011)Invariant and Subject-Dependent Features of Otoacoustic Emissions., , , , и . ISMDA, том 2526 из Lecture Notes in Computer Science, стр. 158-166. Springer, (2002)