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An ambient intelligence approach for learning in smart robotic environments.

, , , , , and . Comput. Intell., 35 (4): 1060-1087 (2019)

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Fast and Deep Graph Neural Networks., and . CoRR, (2019)Sparsity in Reservoir Computing Neural Networks.. INISTA, page 1-7. IEEE, (2020)Tree Echo State Networks., and . Neurocomputing, (2013)EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints., , , , and . ACM Trans. Archit. Code Optim., 17 (3): 22:1-22:24 (2020)Echo state graph neural networks with analogue random resistive memory arrays., , , , , , , , , and 6 other author(s). Nat. Mac. Intell., 5 (2): 104-113 (February 2023)A Markovian characterization of redundancy in echo state networks by PCA., and . ESANN, (2010)Comparison between DeepESNs and gated RNNs on multivariate time-series prediction., , and . ESANN, (2019)Deep Randomized Neural Networks., and . INNSBDDL (Tutorials), volume 896 of Studies in Computational Intelligence, page 43-68. Springer, (2019)Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing., , , , and . EvAAL, volume 386 of Communications in Computer and Information Science, page 24-35. Springer, (2013)Indoor User Movement Prediction from RSS data., , , , and . (February 2016)