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Gradual Pattern Mining Tool on Cloud., , , и . EGC, том E-37 из RNTI, стр. 429-436. Éditions RNTI, (2021)Circulating Tumor Enumeration using Deep Learning., и . IJCCI, стр. 297-303. SciTePress, (2018)Mining Fuzzy-Temporal Gradual Patterns., , и . FUZZ-IEEE, стр. 1-6. IEEE, (2019)Ant Colony Optimization for Mining Gradual Patterns., , , , и . CoRR, (2022)Design of a Fuzzy Affective Agent Based on Typicality Degrees of Physiological Signals., и . IPMU (2), том 443 из Communications in Computer and Information Science, стр. 304-313. Springer, (2014)Characterizing player's experience from physiological signals using fuzzy decision trees., , , и . CIG, стр. 75-82. IEEE, (2010)Ant colony optimization for mining gradual patterns., , , , и . Int. J. Mach. Learn. Cybern., 12 (10): 2989-3009 (2021)A 2D-Approach Towards the Detection of Distress Using Fuzzy K-Nearest Neighbor., , и . IPMU (1), том 853 из Communications in Computer and Information Science, стр. 762-773. Springer, (2018)Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing., , и . ADBIS/TPDL/EDA Workshops, том 1260 из Communications in Computer and Information Science, стр. 110-121. Springer, (2020)Typicality Degrees to Measure Relevance of the Physiological Signals - Assessing user's Affective States.. PhyCS, стр. 351-357. SciTePress, (2014)