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Special issue on deep learning for time series data.

, , and . Neural Comput. Appl., 34 (16): 13147-13148 (2022)

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Special issue on deep learning for time series data., , and . Neural Comput. Appl., 34 (16): 13147-13148 (2022)Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes., and . Databases and Applications, page 66-74. IASTED/ACTA Press, (2006)A filter-and-refine approach to mine spatiotemporal co-occurrences., , and . SIGSPATIAL/GIS, page 104-113. ACM, (2013)Spatiotemporal Co-occurrence Rules., , , , and . ADBIS (2), volume 241 of Advances in Intelligent Systems and Computing, page 27-35. Springer, (2013)On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases.. ICAISC, volume 4029 of Lecture Notes in Computer Science, page 170-181. Springer, (2006)MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data., , , and . SoftwareX, (2020)Solar image parameter data from the SDO: Long-term curation and data mining., , and . Astron. Comput., (2015)Solar Flare Forecasting with Deep Learning-based Time Series Classifiers., , , and . ICPR, page 2907-2913. IEEE, (2022)A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems., , , , , and . CogMI, page 106-115. IEEE, (2021)Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods., , , , , , and . ICDM (Workshops), page 1067-1076. IEEE, (2021)