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Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes., , , , , и . Eng. Appl. Artif. Intell., 23 (1): 8-17 (2010)Fuzzy inference maps for condition monitoring with self-organizing maps., , , , и . EUSFLAT Conf., стр. 55-58. De Montfort University, Leicester, UK, (2001)Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings., , , , , и . IEEE Trans. Smart Grid, 12 (3): 2722-2731 (2021)Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders., , , , и . Comput. Electr. Eng., (2022)Principal Component Modes of Reservoir Dynamics in Reservoir Computing., , , , и . AIAI Workshops, том 677 из IFIP Advances in Information and Communication Technology, стр. 434-445. Springer, (2023)Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave., , , , , , и . ESANN, (2022)Interactive dual projections for gene expression analysis., , , , , , и . ESANN, (2022)Correlation Visualization of High Dimensional Data Using Topographic Maps., , и . ICANN, том 2415 из Lecture Notes in Computer Science, стр. 1005-1012. Springer, (2002)Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps., , , , , и . EANN, том 43 из Communications in Computer and Information Science, стр. 119-130. (2009)Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps., , , , , и . ICANN (1), том 4668 из Lecture Notes in Computer Science, стр. 609-617. Springer, (2007)