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Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter., , , , , , , , , and 1 other author(s). SOCO, volume 188 of Advances in Intelligent Systems and Computing, page 163-172. Springer, (2012)A Hybrid System for Dental Milling Parameters Optimisation., , , , , , , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 437-446. Springer, (2011)A bio-inspired computational high-precision dental milling system., , , , , , , , and . NaBIC, page 423-429. IEEE, (2010)Intelligent operating conditions design by means of bio-inspired models., , , , , and . NaBIC, page 608-613. IEEE, (2011)Neural Visualization for the Analysis of Energy and Water Consumptions in the Automotive Industry., , , and . SOCO-CISIS-ICEUTE, volume 771 of Advances in Intelligent Systems and Computing, page 167-176. Springer, (2018)Optimizing a dental milling process by means of soft computing techniques., , , , , , , , and . ISDA, page 1430-1435. IEEE, (2010)Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules., , , , , , , , , and 1 other author(s). IDEAL, volume 7435 of Lecture Notes in Computer Science, page 842-849. Springer, (2012)A Soft Computing System to Perform Face Milling Operations., , , , , , , and . IWANN (2), volume 5518 of Lecture Notes in Computer Science, page 1282-1291. Springer, (2009)El Efecto Matilda en la red de coautorías Hispanoamericana en Comunicación, , and . Revista Mediterránea de Comunicación, 12 (2): 77--95 (2021)