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Self-Organizing Hidden Markov Model Map (SOHMMM)., и . Neural Networks, (2013)A multi-clustering fusion scheme for data partitioning., , и . Int. J. Neural Syst., 15 (5): 391-401 (2005)Learning Ontology Alignments Using Recursive Neural Networks., , и . ICANN (2), том 3697 из Lecture Notes in Computer Science, стр. 811-816. Springer, (2005)Connectionist Models for Formal Knowledge Adaptation., , , и . ICANN (2), том 5769 из Lecture Notes in Computer Science, стр. 465-474. Springer, (2009)Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection., , , и . ICANN (1), том 5768 из Lecture Notes in Computer Science, стр. 942-951. Springer, (2009)Mapping the Growing Neural Gas to Situation Calculus., и . ICANN, том 2415 из Lecture Notes in Computer Science, стр. 957-962. Springer, (2002)Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information., , , и . ICIP, стр. 2052-2056. IEEE, (2018)Sequence clustering with the Self-Organizing Hidden Markov Model Map., и . BIBE, стр. 1-7. IEEE, (2008)Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge., , и . ISCIS, том 62 из Lecture Notes in Electrical Engineering, стр. 121-126. Springer, (2010)An Adaptable Gaussian Neuro-Fuzzy Classifier., , и . ICANN, том 2714 из Lecture Notes in Computer Science, стр. 925-932. Springer, (2003)