{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:33:57Z","timestamp":1743010437723,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819923847"},{"type":"electronic","value":"9789819923854"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-2385-4_21","type":"book-chapter","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T14:03:52Z","timestamp":1683900232000},"page":"286-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Neural Network Based Resource Configuration Framework for Human-Machine Computing System"],"prefix":"10.1007","author":[{"given":"Zhuoli","family":"Ren","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,13]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Amershi, S., Weld, D., Vorvoreanu, M., et al.: Guidelines for human-AI interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1\u201313 (2019)","DOI":"10.1145\/3290605.3300233"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Beede, E., Baylor, E., Hersch, F., et al.: A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u201312 (2020)","DOI":"10.1145\/3313831.3376718"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Lee, M.H., Siewiorek, D.P., Smailagic, A., et al.: A human-AI collaborative approach for clinical decision making on rehabilitation assessment. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1\u201314 (2021)","DOI":"10.1145\/3411764.3445472"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Wang, K., Yan, X., Zhang, D., et al.: Towards human-machine cooperation: self-supervised sample mining for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1605\u20131613 (2018)","DOI":"10.1109\/CVPR.2018.00173"},{"key":"21_CR5","unstructured":"Sinha, K., Manjunath, G., Gupta, B., et al.: Designing a human-machine hybrid computing system for unstructured data analytics. arXiv preprint arXiv:1606.04929 (2016)"},{"key":"21_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114282","volume":"168","author":"W Han","year":"2021","unstructured":"Han, W., Deng, Q., Gong, G., et al.: Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint. Expert Syst. Appl. 168, 114282 (2021)","journal-title":"Expert Syst. Appl."},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Boutsis, I., Kalogeraki, V.: On task assignment for real-time reliable crowdsourcing. In: 2014 IEEE 34th International Conference on Distributed Computing Systems, pp. 1\u201310. IEEE (2014)","DOI":"10.1109\/ICDCS.2014.9"},{"issue":"4","key":"21_CR8","doi-asserted-by":"publisher","first-page":"3585","DOI":"10.1007\/s13369-018-3602-7","volume":"44","author":"SHH Madni","year":"2019","unstructured":"Madni, S.H.H., Latiff, M.S.A., Ali, J., et al.: Multi-objective-oriented cuckoo search optimization-based resource scheduling algorithm for clouds. Arab. J. Sci. Eng. 44(4), 3585\u20133602 (2019). https:\/\/doi.org\/10.1007\/s13369-018-3602-7","journal-title":"Arab. J. Sci. Eng."},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, M., Li, J., Nazarian, S.: DRL-cloud: deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. In: 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 129\u2013134. IEEE (2018)","DOI":"10.1109\/ASPDAC.2018.8297294"},{"issue":"1","key":"21_CR10","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/TPDS.2019.2931558","volume":"31","author":"Z Chen","year":"2019","unstructured":"Chen, Z., Quan, W., Wen, M., et al.: Deep learning research and development platform: characterizing and scheduling with QoS guarantees on GPU clusters. IEEE Trans. Parallel Distrib. Syst. 31(1), 34\u201350 (2019)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"4","key":"21_CR11","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1007\/s10586-018-2811-x","volume":"21","author":"H Ben Alla","year":"2018","unstructured":"Ben Alla, H., Ben Alla, S., Touhafi, A., et al.: A novel task scheduling approach based on dynamic queues and hybrid meta-heuristic algorithms for cloud computing environment. Clust. Comput. 21(4), 1797\u20131820 (2018). https:\/\/doi.org\/10.1007\/s10586-018-2811-x","journal-title":"Clust. Comput."},{"issue":"8","key":"21_CR12","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MC.2020.2997573","volume":"53","author":"L Chen","year":"2020","unstructured":"Chen, L., Ning, H., Nugent, C.D., et al.: Hybrid human-artificial intelligence. Computer 53(8), 14\u201317 (2020)","journal-title":"Computer"},{"issue":"1","key":"21_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42486-020-00051-1","volume":"3","author":"Z Yu","year":"2021","unstructured":"Yu, Z., Li, Q., Yang, F., et al.: Human\u2013machine computing. CCF Trans. Pervasive Comput. Interact. 3(1), 1\u201312 (2021)","journal-title":"CCF Trans. Pervasive Comput. Interact."},{"issue":"5","key":"21_CR14","doi-asserted-by":"publisher","first-page":"109","DOI":"10.3390\/fi11050109","volume":"11","author":"A Al-Rahayfeh","year":"2019","unstructured":"Al-Rahayfeh, A., Atiewi, S., Abuhussein, A., et al.: Novel approach to task scheduling and load balancing using the dominant sequence clustering and mean shift clustering algorithms. Future Internet 11(5), 109 (2019)","journal-title":"Future Internet"},{"issue":"4","key":"21_CR15","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1109\/COMST.2021.3106401","volume":"23","author":"Q Luo","year":"2021","unstructured":"Luo, Q., Hu, S., Li, C., et al.: Resource scheduling in edge computing: a survey. IEEE Commun. Surv. Tutor. 23(4), 2131\u20132165 (2021)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"1","key":"21_CR16","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1111\/poms.13406","volume":"31","author":"Z Wang","year":"2022","unstructured":"Wang, Z., Sheu, J.B., Teo, C.P., et al.: Robot scheduling for mobile-rack warehouses: human-robot coordinated order picking systems. Prod. Oper. Manag. 31(1), 98\u2013116 (2022)","journal-title":"Prod. Oper. Manag."},{"issue":"23","key":"21_CR17","doi-asserted-by":"publisher","first-page":"7741","DOI":"10.1007\/s00500-018-3403-7","volume":"22","author":"B Liu","year":"2018","unstructured":"Liu, B., Li, P., Lin, W., et al.: A new container scheduling algorithm based on multi-objective optimization. Soft. Comput. 22(23), 7741\u20137752 (2018). https:\/\/doi.org\/10.1007\/s00500-018-3403-7","journal-title":"Soft. Comput."},{"issue":"3","key":"21_CR18","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1109\/JIOT.2020.3014440","volume":"8","author":"X Yin","year":"2020","unstructured":"Yin, X., Chen, Y., Xu, C., et al.: Matchmaker: stable task assignment with bounded constraints for crowdsourcing platforms. IEEE Internet Things J. 8(3), 1599\u20131610 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"21_CR19","doi-asserted-by":"publisher","first-page":"1941","DOI":"10.1109\/TASE.2021.3062994","volume":"19","author":"ZY Zhao","year":"2021","unstructured":"Zhao, Z.Y., Zhou, M.C., Liu, S.X.: Iterated greedy algorithms for flow-shop scheduling problems: a tutorial. IEEE Trans. Autom. Sci. Eng. 19(3), 1941\u20131959 (2021)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"10","key":"21_CR20","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1108\/K-12-2014-0293","volume":"44","author":"M Ashouraie","year":"2015","unstructured":"Ashouraie, M., Navimipour, N.J.: Priority-based task scheduling on heterogeneous resources in the Expert Cloud. Kybernetes 44(10), 1455\u20131471 (2015)","journal-title":"Kybernetes"}],"container-title":["Communications in Computer and Information Science","Computer Supported Cooperative Work and Social Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-2385-4_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T14:06:42Z","timestamp":1683900402000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-2385-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819923847","9789819923854"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-2385-4_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"13 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ChineseCSCW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF Conference on Computer Supported Cooperative Work  and Social Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Datong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"chinesecscw2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.scholat.com\/ccscw\/2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}