Chen, S. S. -C., Cui, H., Du, M. -han, Fu, T. -ming, Sun, X. -hong, Ji, Y., & Duh, H. (2019). Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network. Frontiers Of Information Technology And Electronic Engineering, 20, 1632-1643. https://doi.org/10.1631/FITEE.1900399 (Original work published dec)
Steven Chen Hui Cui Ming-han Du Tie-ming Fu Xiao-hong Sun Yi Ji Henry DuhAdversarial networks Arts computing Cantonese Cantonese porcelain Classification Classification (of information) Creative arts Generative adversarial network Hybrid systems Image classification Intangible cultural heritages Logistic regression Porcelain Principal component analysis Receiver operating characteristics Style identifications TP751 Traditional porcelains
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Baykal, N. (2018). A quantitative approach to UNESCO’S intangible cultural heritage lists: Criticism and suggestions. Milli Folklor, 2018, 102-118. Retrieved de https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062244194&partnerID=40&md5=3848e17faba45a300fad1387c252ed36
N. BaykalAnalysis Classification Conceptualization Data Management Statistics
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Baykal, N. (2018). A quantitative approach to UNESCO’S intangible cultural heritage lists: Criticism and suggestions. Milli Folklor, 2018, 102-118. Retrieved de https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062244194&partnerID=40&md5=3848e17faba45a300fad1387c252ed36
N. BaykalAnalysis Classification Conceptualization Data Management Statistics
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Baykal, N. (2018). A quantitative approach to UNESCO’S intangible cultural heritage lists: Criticism and suggestions. Milli Folklor, 2018, 102-118. Retrieved de https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062244194&partnerID=40&md5=3848e17faba45a300fad1387c252ed36
N. BaykalAnalysis Classification Conceptualization Data Management Statistics
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