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STClass: A Method for Determining the Sensitivity of Documents., , , , and . MICAI (2), volume 13068 of Lecture Notes in Computer Science, page 140-152. Springer, (2021)A Survey on the Methods to Determine the Sensitivity of Textual Documents: Solutions and Problems to Solve., , , , and . IWAIPR, volume 13055 of Lecture Notes in Computer Science, page 280-289. Springer, (2021)Analysis of self-similar data by artificial neural networks., , , , and . ICNSC, page 480-485. IEEE, (2011)Learning k-Testable and k-Piecewise Testable Languages from Positive Data., and . Grammars, (2004)From regular expressions to smaller NFAs., , , and . Theor. Comput. Sci., 412 (41): 5802-5807 (2011)Inference Improvement by Enlarging the Training Set While Learning DFAs., , , and . CIARP, volume 3773 of Lecture Notes in Computer Science, page 59-70. Springer, (2005)Is Learning RFSAs Better Than Learning DFAs?., , , and . CIAA, volume 3845 of Lecture Notes in Computer Science, page 343-344. Springer, (2005)A Merging States Algorithm for Inference of RFSAs., , and . ICGI, volume 4201 of Lecture Notes in Computer Science, page 340-341. Springer, (2006)Bilateral locally testable languages., , and . Theor. Comput. Sci., 299 (1-3): 775-783 (2003)Variante eficiente de red neuronal pulsante con auto-onda dinámica para resolver el problema del camino más corto., , , , and . Res. Comput. Sci., 148 (8): 133-146 (2019)