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Evolution-in-materio: Solving function optimization problems using materials., , , , , , and . UKCI, page 1-8. IEEE, (2014)Evolution-in-materio: A frequency classifier using materials., , , , , , and . ICES, page 46-53. IEEE, (2014)Practical issues for configuring carbon nanotube composite materials for computation., , , and . ICES, page 61-68. IEEE, (2014)Evolution-in-materio: Solving bin packing problems using materials., , , , , , and . ICES, page 38-45. IEEE, (2014)Computing Based on Material Training: Application to Binary Classification Problems., , , , , and . ICRC, page 1-8. IEEE, (2017)Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms., , , , , , and . CEC, page 1924-1931. IEEE, (2017)Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation., , , , , and . CEC, page 5255-5261. IEEE, (2016)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)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)