{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T12:19:19Z","timestamp":1762604359800,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031258909"},{"type":"electronic","value":"9783031258916"}],"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\/978-3-031-25891-6_3","type":"book-chapter","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T14:03:34Z","timestamp":1678370614000},"page":"27-31","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Human-Centric Machine Learning Approach for\u00a0Injection Mold Design: Towards Automated Ejector Pin Placement"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9102-722X","authenticated-orcid":false,"given":"Robert","family":"Jungnickel","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5802-860X","authenticated-orcid":false,"given":"Johanna","family":"Lauwigi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4147-6470","authenticated-orcid":false,"given":"Vladimir","family":"Samsonov","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7070-8018","authenticated-orcid":false,"given":"Daniel","family":"L\u00fctticke","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,10]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Ehrlenspiel, K., Kiewert, A., M\u00f6rtl, M., Lindemann, U.: Kosteng\u00fcnstig Entwickeln und Konstruieren. Kostenmanagement bei der integrierten Produktentwicklung, 8th edn. Springer, Heidelberg (2020)","DOI":"10.1007\/978-3-662-62591-0"},{"key":"3_CR2","doi-asserted-by":"publisher","unstructured":"Kwak, S., Kim, T., Park, S., Lee, K.: Layout and sizing of ejector pins for injection mould desian using the wavelet transform. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 217(4), 463\u2013473 (2003). https:\/\/doi.org\/10.1243\/095440503321628143","DOI":"10.1243\/095440503321628143"},{"issue":"4","key":"3_CR3","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1002\/ADV.1995.060140404","volume":"14","author":"K-S Chin","year":"1995","unstructured":"Chin, K.-S., Wong, T.N.: An expert system for injection mold cost estimation. Adv. Polym. Technol. 14(4), 303\u2013314 (1995). https:\/\/doi.org\/10.1002\/ADV.1995.060140404","journal-title":"Adv. Polym. Technol."},{"key":"3_CR4","volume-title":"Business Dynamics. Systems Thinking and Modeling for a Complex World","author":"JD Sterman","year":"2000","unstructured":"Sterman, J.D.: Business Dynamics. Systems Thinking and Modeling for a Complex World. Irwin\/McGraw-Hill, Boston (2000)"},{"key":"3_CR5","doi-asserted-by":"publisher","unstructured":"Wang, Z., et al.: Optimum ejector system design for plastic injection moulds. Int. J. Comput. Appl. Technol. 9(4), 211\u2013218. (1996). ScholarBank@NUS Repository. https:\/\/doi.org\/10.1504\/IJMPT.1996.036339","DOI":"10.1504\/IJMPT.1996.036339"},{"issue":"3","key":"3_CR6","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/s00158-013-0990-x","volume":"49","author":"I Ferreira","year":"2014","unstructured":"Ferreira, I., Cabral, J.A., Saraiva, P., Oliveira, M.C.: A multidisciplinary framework to support the design of injection mold tools. Struct. Multidisc. Optim. 49(3), 501\u2013521 (2014). https:\/\/doi.org\/10.1007\/s00158-013-0990-x","journal-title":"Struct. Multidisc. Optim."},{"issue":"9\u201312","key":"3_CR7","doi-asserted-by":"publisher","first-page":"3165","DOI":"10.1007\/s00170-019-03432-8","volume":"102","author":"A Alvarado-Iniesta","year":"2019","unstructured":"Alvarado-Iniesta, A., Cuate, O., Sch\u00fctze, O.: Multi-objective and many objective design of plastic injection molding process. Int. J. Adv. Manuf. Technol. 102(9\u201312), 3165\u20133180 (2019). https:\/\/doi.org\/10.1007\/s00170-019-03432-8","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.simpat.2018.09.003","volume":"91","author":"K Li","year":"2019","unstructured":"Li, K., Yan, S., Zhong, Y., Pan, W., Zhao, G.: Multi-objective optimization of the fiber-reinforced composite injection molding process using Taguchi method, RSM, and NSGA-II. Simul. Model. Pract. Theory 91, 69\u201382 (2019). https:\/\/doi.org\/10.1016\/j.simpat.2018.09.003","journal-title":"Simul. Model. Pract. Theory"},{"issue":"4","key":"3_CR9","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1002\/ADV.1995.060140404","volume":"9","author":"K-S Chin","year":"1995","unstructured":"Chin, K.-S., Wong, T.N.: An expert system for injection mold cost estimation. Adv. Polym. Technol. 9(4), 303\u2013314 (1995). https:\/\/doi.org\/10.1002\/ADV.1995.060140404","journal-title":"Adv. Polym. Technol."},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Kaluarachchi, T., Reis, A., Nanayakkara, S.: A review of recent deep learning approaches in human-centered machine learning. 21(7) (2021). https:\/\/doi.org\/10.3390\/s21072514","DOI":"10.3390\/s21072514"},{"issue":"3","key":"3_CR11","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1111\/cgf.14329","volume":"40","author":"F Sperrle","year":"2021","unstructured":"Sperrle, F., et al.: A survey of human-centered evaluations in human-centered machine learning. Comput. Graph. Forum 40(3), 543\u2013568 (2021). https:\/\/doi.org\/10.1111\/cgf.14329","journal-title":"Comput. Graph. Forum"},{"issue":"2","key":"3_CR12","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1002\/sdr.1560","volume":"32","author":"MS Gary","year":"2016","unstructured":"Gary, M.S., Wood, R.E.: Unpacking mental models through laboratory experiments. Syst. Dyn. Rev. 32(2), 101\u2013129 (2016). https:\/\/doi.org\/10.1002\/sdr.1560","journal-title":"Syst. Dyn. Rev."},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Bubeck, S.: Convex Optimization. Algorithms and Complexity. Foundations and Trends\u00ae in Machine Learning Ser, 26th. Now Publishers, Norwell (2015)","DOI":"10.1561\/9781601988614"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25891-6_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T10:14:10Z","timestamp":1680689650000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25891-6_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031258909","9783031258916"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25891-6_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"10 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Optimization, and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Certosa di Pontignano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"19 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"lod2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2022.icas.cc\/","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":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"226","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":"85","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":"0","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":"38% - 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":"5.6","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":"1.5","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)"}}]}}