{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T12:26:03Z","timestamp":1763295963903,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T00:00:00Z","timestamp":1678406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,10]]},"DOI":"10.1145\/3589883.3589917","type":"proceedings-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T19:50:36Z","timestamp":1687895436000},"page":"221-229","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3860-5147","authenticated-orcid":false,"given":"Tomas","family":"Souper","sequence":"first","affiliation":[{"name":"Fraunhofer Portugal AICOS, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7654-1642","authenticated-orcid":false,"given":"Ana C.","family":"Morgado","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4037-8618","authenticated-orcid":false,"given":"Ana","family":"Marques","sequence":"additional","affiliation":[{"name":"Matcer\u00e2mica - Fabrico de Lou\u00e7a S.A, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2380-2747","authenticated-orcid":false,"given":"In\u00eas","family":"Silva","sequence":"additional","affiliation":[{"name":"Matcer\u00e2mica - Fabrico de Lou\u00e7a S.A, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8060-831X","authenticated-orcid":false,"given":"Lu\u00eds","family":"Rosado","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"volume-title":"Applications of Artificial Intelligence in Engineering","author":"Bishop JM","key":"e_1_3_2_1_1_1","unstructured":"JM Bishop, MJ Bushnell, A Usher, and S Westland. 1991. Neural networks in the colour industry. In Applications of Artificial Intelligence in Engineering VI. Springer, 423\u2013434."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/col.5080160104"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18180\/tecciencia.2015.19.1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3399579.3399867"},{"key":"e_1_3_2_1_5_1","volume-title":"Prediction Model for Semitransparent Watercolor Pigment Mixtures Using Deep Learning with a Dataset of Transmittance and Reflectance. arXiv preprint arXiv:1904.00275","author":"Chen Mei-Yun","year":"2019","unstructured":"Mei-Yun Chen, Ya-Bo Huang, Sheng-Ping Chang, and Ming Ouhyoung. 2019. Prediction Model for Semitransparent Watercolor Pigment Mixtures Using Deep Learning with a Dataset of Transmittance and Reflectance. arXiv preprint arXiv:1904.00275 (2019)."},{"key":"e_1_3_2_1_6_1","volume-title":"Colour mixing modelling and simulation: optimization of colour recipe for carded fibres. Modelling and Simulation in Engineering 2010","author":"Furferi Rocco","year":"2010","unstructured":"Rocco Furferi and Monica Carfagni. 2010. Colour mixing modelling and simulation: optimization of colour recipe for carded fibres. Modelling and Simulation in Engineering 2010 (2010)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.25.6.061402"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/cote.12220"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230744.3230785"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/cote.12123"},{"key":"e_1_3_2_1_11_1","first-page":"593","article-title":"An article on optics of paint layers","volume":"12","author":"Kubelka Paul","year":"1931","unstructured":"Paul Kubelka and Franz Munk. 1931. An article on optics of paint layers. Z. Tech. Phys 12, 593-601 (1931), 259\u2013274.","journal-title":"Z. Tech. Phys"},{"key":"e_1_3_2_1_12_1","volume-title":"The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Research & Application: Endorsed by Inter-Society Color Council","author":"Luo M\u00a0Ronnier","year":"2001","unstructured":"M\u00a0Ronnier Luo, Guihua Cui, and Bryan Rigg. 2001. The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Research & Application: Endorsed by Inter-Society Color Council, The Colour Group (Great Britain), Canadian Society for Color, Color Science Association of Japan, Dutch Society for the Study of Color, The Swedish Colour Centre Foundation, Colour Society of Australia, Centre Fran\u00e7ais de la Couleur 26, 5 (2001), 340\u2013350."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.49"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeurceramsoc.2009.02.019"},{"key":"e_1_3_2_1_15_1","first-page":"107","article-title":"A Multispectral Dataset of Oil and Watercolor Paints","volume":"2020","author":"Shahmirzadi Azadeh\u00a0Asadi","year":"2020","unstructured":"Azadeh\u00a0Asadi Shahmirzadi, Vahid Babaei, and Hans-Peter Seidel. 2020. A Multispectral Dataset of Oil and Watercolor Paints. Electronic Imaging 2020, 5 (2020), 107\u20131.","journal-title":"Electronic Imaging"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22145415"}],"event":{"name":"ICMLT 2023: 2023 8th International Conference on Machine Learning Technologies","acronym":"ICMLT 2023","location":"Stockholm Sweden"},"container-title":["Proceedings of the 2023 8th International Conference on Machine Learning Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589883.3589917","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589883.3589917","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:03:53Z","timestamp":1755846233000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589883.3589917"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,10]]},"references-count":16,"alternative-id":["10.1145\/3589883.3589917","10.1145\/3589883"],"URL":"https:\/\/doi.org\/10.1145\/3589883.3589917","relation":{},"subject":[],"published":{"date-parts":[[2023,3,10]]},"assertion":[{"value":"2023-06-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}