{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T07:23:46Z","timestamp":1778311426510,"version":"3.51.4"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/ssci51031.2022.10022107","type":"proceedings-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T20:05:39Z","timestamp":1675109139000},"page":"455-462","source":"Crossref","is-referenced-by-count":4,"title":["On the Democratization of Machine Learning Pipelines"],"prefix":"10.1109","author":[{"given":"Alexandre","family":"Carqueja","sequence":"first","affiliation":[{"name":"University of Porto DEI-FEUP,Porto,Portugal"}]},{"given":"Bruno","family":"Cabral","sequence":"additional","affiliation":[{"name":"University of Coimbra CISUC DEI-FCTUC,Coimbra,Portugal"}]},{"given":"Jo\u00e3o Paulo","family":"Fernandes","sequence":"additional","affiliation":[{"name":"University of Porto LIACC DEI-FEUP,Porto,Portugal"}]},{"given":"Nuno","family":"Louren\u00e7o","sequence":"additional","affiliation":[{"name":"University of Coimbra CISUC DEI-FCTUC,Coimbra,Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.05.016"},{"key":"ref2","article-title":"Hidden technical debt in machine learning systems","volume":"28","author":"Sculley","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.19.AVM-023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2018917253"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CarpathianCC.2018.8399650"},{"key":"ref6","article-title":"Add It Up: How Long Does a Machine Learning Deployment Take?","volume-title":"The New Stack","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3386146"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1051\/epjconf\/202125102067"},{"key":"ref9","volume-title":"Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?","author":"M\u00e4kinen","year":"2021"},{"key":"ref10","volume-title":"The state of MLOps","author":"Maya","year":"2021"},{"key":"ref11","volume-title":"Challenges in Deploying Machine Learning: A Survey of Case Studies","author":"Paleyes","year":"2021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/app11198861"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00033"},{"key":"ref14","volume-title":"How Much Automation Does a Data Scientist Want?","author":"Wang","year":"2021"},{"key":"ref15","volume-title":"IBM Global AI Adoption Index 2022","year":"2022"},{"key":"ref16","volume-title":"DAGsHub-Official\/Cookiecutter-DVC","year":"2022"},{"key":"ref17","article-title":"AI Index Report","volume-title":"Stanford University","author":"HAI","year":"2022"},{"key":"ref18","volume-title":"Home - Knative","year":"2022"},{"key":"ref19","volume-title":"Kubeflow","year":"2022"},{"key":"ref20","volume-title":"ML Industry Report - 2021 Machine Learning Practitioner Survey","year":"2022"},{"key":"ref21","volume-title":"Red Wine Quality","year":"2022"},{"key":"ref22","volume-title":"Setup Google Drive Remote","year":"2022"},{"key":"ref23","volume-title":"What is MLOps?","year":"2022"}],"event":{"name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Singapore, Singapore","start":{"date-parts":[[2022,12,4]]},"end":{"date-parts":[[2022,12,7]]}},"container-title":["2022 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10022049\/10022014\/10022107.pdf?arnumber=10022107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T19:10:11Z","timestamp":1734376211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10022107\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ssci51031.2022.10022107","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}