{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:40:09Z","timestamp":1755862809615,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T00:00:00Z","timestamp":1701993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,8]]},"DOI":"10.1145\/3659211.3659296","type":"proceedings-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T16:22:21Z","timestamp":1716999741000},"page":"490-497","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Coffee Bean High Accuracy Classification with eXplainable Artificial Intelligence"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1912-086X","authenticated-orcid":false,"given":"Jiaqi","family":"Liu","sequence":"first","affiliation":[{"name":"Dept. of Computer Science, Hong Kong Baptist University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.lwt.2021.111363"},{"key":"e_1_3_2_1_2_1","first-page":"85","volume-title":"ELSEVIER, Japan.","author":"K. Ramalakshmi","unstructured":"K. Ramalakshmi . 2009. Bioactivities of low-grade green coffee and spent coffee in different in vitro model systems. Food Chemistry, ELSEVIER, Japan. pp. 79\u201385. https:\/\/www.semanticscholar.org\/paper\/Bioactivities-of-low-grade-green-coffee-and-spent-Ramalakshmi-Rao\/644310f6768b3775a6a11e58533ffbd074dfee8f"},{"key":"e_1_3_2_1_3_1","unstructured":"Huijie Lu . 2020. Chlorogenic acid: A comprehensive review of the dietary sources processing effects bioavailability beneficial properties mechanisms of action and future directions. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY WILEY China. https:\/\/ift.onlinelibrary.wiley.com\/doi\/10.1111\/1541-4337.12620"},{"volume-title":"Global coffee market: Socio-economic and cultural dynamics. Coffee Consumption and Industry Strategies in Brazil","author":"Rodrigues Vegro Celso Luis","key":"e_1_3_2_1_4_1","unstructured":"Celso Luis Rodrigues Vegro, and Luciana Flor\u00eancio de Almeida. 2020. Global coffee market: Socio-economic and cultural dynamics. Coffee Consumption and Industry Strategies in Brazil. Woodhead Publishing Series, Brazil. https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/B9780128147214000019?via%3Dihub"},{"key":"e_1_3_2_1_5_1","volume-title":"SGDR: STOCHASTIC GRADIENT DESCENT WITH WARM RESTARTS. ICLR","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. SGDR: STOCHASTIC GRADIENT DESCENT WITH WARM RESTARTS. ICLR 2017. Freiburg, Germany. https:\/\/arxiv.org\/pdf\/1608.03983.pdf"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"e_1_3_2_1_8_1","first-page":"473","volume-title":"USK-COFFEE Dataset: A Multi-Class Green Arabica Coffee Bean Dataset for Deep Learning. IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Malang, Indonesia.","author":"Alifya Febriana","year":"2022","unstructured":"Alifya Febriana . 2022. USK-COFFEE Dataset: A Multi-Class Green Arabica Coffee Bean Dataset for Deep Learning. IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Malang, Indonesia. pp. 469\u2013473. https:\/\/ieeexplore.ieee.org\/abstract\/document\/9865489"},{"key":"e_1_3_2_1_9_1","first-page":"1150","volume-title":"VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION. ICLR","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION. ICLR 2015. University of Oxford, England. pp. 1150-1210. https:\/\/arxiv.org\/abs\/1409.1556"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CENTCON52345.2021.9687944"}],"event":{"name":"BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management","acronym":"BDEIM 2023","location":"Zhengzhou China"},"container-title":["Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659211.3659296","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3659211.3659296","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:03:49Z","timestamp":1755860629000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659211.3659296"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,8]]},"references-count":10,"alternative-id":["10.1145\/3659211.3659296","10.1145\/3659211"],"URL":"https:\/\/doi.org\/10.1145\/3659211.3659296","relation":{},"subject":[],"published":{"date-parts":[[2023,12,8]]},"assertion":[{"value":"2024-05-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}