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TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning., , , , , , и . Neurocomputing, (2023)A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns., , , и . SOCO, том 1268 из Advances in Intelligent Systems and Computing, стр. 100-110. Springer, (2020)A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks., и . HAIS, том 12886 из Lecture Notes in Computer Science, стр. 564-575. Springer, (2021)MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns., , , и . IEEE Trans. Fuzzy Syst., 26 (5): 2861-2872 (2018)A Multiclustering Evolutionary Hyperrectangle-Based Algorithm., , , и . Int. J. Comput. Intell. Syst., 16 (1): 165 (декабря 2023)Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference., , , , , , и . IDEAL, том 13756 из Lecture Notes in Computer Science, стр. 348-358. Springer, (2022)A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms., , , и . HAIS, том 13469 из Lecture Notes in Computer Science, стр. 88-97. Springer, (2022)A Comparison of Techniques for Virtual Concept Drift Detection., , , и . SOCO, том 1401 из Advances in Intelligent Systems and Computing, стр. 3-13. Springer, (2021)Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites., , , , , и . Appl. Soft Comput., (2024)A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)