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Hatched Image Representation of Human Faces Based on a Cognitive Model., , , , and . FG, page 330-335. IEEE Computer Society, (1998)Relative Magnitude of Gaussian Curvature Using Neural Network and Object Rotation of Two Degrees of Freedom., , , , , and . MVA, page 110-113. (2007)Feasibility of Collaborative Learning and Work Between Robots and Children with Autism Spectrum Disorders., , , , and . JSAI-isAI Workshops, volume 10091 of Lecture Notes in Computer Science, page 454-461. (2015)Classification of Local Surface Using Neural Network and Object Rotation of Two Degrees of Freedom., , , , , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 903-910. Springer, (2008)A Consideration on Initial Parameter Setting using Onomatopoeias for Interactive Design Tools., , , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)Black-and-white drawing support for adobe illustrator using onomatopoeia., , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Effect of robot utterances using onomatopoeia on collaborative learning., , , , and . FUZZ-IEEE, page 1268-1272. IEEE, (2014)Method of extracting characteristic facial expression for monitoring system., , and . TAAI, page 502-505. IEEE, (2015)An Investigation of Phonological Features and Acoustic Features to Auto-Classify Japanese Onomatopoeias into Semantic Usage Category., , , , , and . SCIS&ISIS, page 220-225. IEEE, (2018)A Verification of Visualization Ability of Onomatopoeia Thesaurus Map for Sound-Symbolism on Japanese Vowels., , , and . SCIS/ISIS, page 1-5. IEEE, (2020)