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Advances in artificial neural networks and machine learning., , и . Neurocomputing, (2013)A discrete gradient method to enhance the numerical behaviour of Hopfield networks., , , и . Neurocomputing, (2015)A Formal Model for Definition and Simulation of Generic Neural Networks., , и . Neural Processing Letters, 11 (2): 87-105 (2000)Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM)., , , и . IWANN (1), том 5517 из Lecture Notes in Computer Science, стр. 886-892. Springer, (2009)Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization., , и . Neural Comput., 17 (8): 1802-1819 (2005)Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound., , , , , , , , , и 2 other автор(ы). IWANN (1), том 12861 из Lecture Notes in Computer Science, стр. 3-14. Springer, (2021)A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration., , , , , и . KES, том 192 из Procedia Computer Science, стр. 2002-2011. Elsevier, (2021)Numerical Implementation of Gradient Algorithms., , , и . IWANN (2), том 7903 из Lecture Notes in Computer Science, стр. 355-364. Springer, (2013)Dynamic Clustering of Time Series with Echo State Networks., , , , и . IWANN (2), том 11507 из Lecture Notes in Computer Science, стр. 73-83. Springer, (2019)Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2., , , , , , , и . IWANN (2), том 11507 из Lecture Notes in Computer Science, стр. 26-37. Springer, (2019)