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Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations., , и . CoRR, (2018)Temporal-spatial transformer based motor imagery classification for BCI using independent component analysis., , , , , , и . Biomed. Signal Process. Control., 87 (Part A): 105359 (января 2024)Architectural proposal for a mobile telepresence robot, REGIMTEL., , и . SoCPaR, стр. 359-364. IEEE, (2014)Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition., , , , и . ICONIP (2), том 10635 из Lecture Notes in Computer Science, стр. 718-727. Springer, (2017)Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations., , и . CoRR, (2018)Regimdroid: Framework for customize Android platform to act as a brain for telepresence robot., , и . ICIS, стр. 113-118. IEEE Computer Society, (2015)EEG feature learning with Intrinsic Plasticity based Deep Echo State Network., , , и . IJCNN, стр. 1-8. IEEE, (2020)On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays., , и . Neural Process. Lett., 48 (2): 849-862 (2018)Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays., , и . IEEE Trans. Neural Networks Learn. Syst., 23 (1): 109-118 (2012)Novel single and multi-layer echo-state recurrent autoencoders for representation learning., , , и . Eng. Appl. Artif. Intell., (2022)