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Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (2): 427-439 (2018)Change-Point Methods on a Sequence of Graphs., , and . IEEE Trans. Signal Process., 67 (24): 6327-6341 (2019)Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome., , and . J. Intell. Fuzzy Syst., 28 (6): 2725-2733 (2015)Concept Drift and Anomaly Detection in Graph Streams., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (11): 5592-5605 (2018)A convergent and fully distributable SVMs training algorithm., , and . IJCNN, page 3076-3080. IEEE, (2016)Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs., , , , and . IJCNN, page 1-8. IEEE, (2018)Inexact Graph Matching through Graph Coverage., , and . ICPRAM (1), page 269-272. SciTePress, (2012)Autoregressive Models for Sequences of Graphs., , , and . IJCNN, page 1-8. IEEE, (2019)Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors., , and . Cogn. Comput., 12 (2): 330-356 (2020)Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure., , , and . IJCNN, page 1-8. IEEE, (2013)