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Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)., , и . Neurocomputing, (2019)LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density., , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (6): 6014-6027 (июня 2023)LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density., , , , , , и . CoRR, (2020)Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders., , , , , , , и . ESANN, (2017)Some steps towards a general principle for dimensionality reduction mappings., , и . Learning paradigms in dynamic environments, том 10302 из Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2010)Adaptive Matrices for Color Texture Classification., , , и . CAIP (2), том 6855 из Lecture Notes in Computer Science, стр. 489-497. Springer, (2011)Multi-agent Based Manifold Denoising., и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 12-24. Springer, (2020)Adaptive Matrices and Filters for Color Texture Classification., , , и . Journal of Mathematical Imaging and Vision, 47 (1-2): 79-92 (2013)Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data., , , и . Neurocomputing, 73 (7-9): 1074-1092 (2010)Advances in artificial neural networks, machine learning and computational intelligence., , и . Neurocomputing, (2020)