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An ambient intelligence approach for learning in smart robotic environments., , , , , and . Comput. Intell., 35 (4): 1060-1087 (2019)Modeling adaptive kernels from probabilistic phylogenetic trees., and . Artif. Intell. Medicine, 45 (2-3): 125-134 (2009)Universal Approximation Capability of Cascade Correlation for Structures., , and . Neural Comput., 17 (5): 1109-1159 (2005)PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs., , and . J. Open Source Softw., 8 (90): 5713 (October 2023)An input-output hidden Markov model for tree transductions., , and . Neurocomputing, (2013)Discrete-time dynamic graph echo state networks., and . Neurocomputing, (2022)Deep reservoir computing: A critical experimental analysis., , and . Neurocomputing, (2017)Minimum Spanning Set Selection in Graph Kernels., and . GbRPR, volume 14121 of Lecture Notes in Computer Science, page 15-24. Springer, (2023)Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks., , , and . BIOINFORMATICS, page 32-43. SCITEPRESS, (2020)Fast Spectral Radius Initialization for Recurrent Neural Networks., , and . INNSBDDL, page 380-390. Springer, (2019)