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Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms.

, , , , , , and . CEC, page 1924-1931. IEEE, (2017)

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In-Materio Extreme Learning Machines., , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 505-519. Springer, (2022)Computing Based on Material Training: Application to Binary Classification Problems., , , , , and . ICRC, page 1-8. IEEE, (2017)Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms., , , , , , and . UCNC, volume 9726 of Lecture Notes in Computer Science, page 130-141. Springer, (2016)Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms., , , , , , and . CEC, page 1924-1931. IEEE, (2017)Enhanced methods for Evolution in-Materio Processors., , , and . ICRC, page 109-118. IEEE, (2021)Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue., , , , and . MIUA, page 19-24. BMVA, (2014)Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms., , , , , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 644-654. Springer, (2016)Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers., , , , , , and . CEC, page 1-8. IEEE, (2018)