{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T03:55:59Z","timestamp":1781754959074,"version":"3.54.5"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["TED2021-130923B-I00,MCIN\/AEI\/10.13039\/501100011033"],"award-info":[{"award-number":["TED2021-130923B-I00,MCIN\/AEI\/10.13039\/501100011033"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1109\/esem56168.2023.10304801","type":"proceedings-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T18:50:15Z","timestamp":1699469415000},"page":"1-12","source":"Crossref","is-referenced-by-count":43,"title":["Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study"],"prefix":"10.1109","author":[{"given":"Joel","family":"Casta\u00f1o","sequence":"first","affiliation":[{"name":"Universitat Polit&#x00E8;cnica de Catalunya,Barcelona,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silverio","family":"Mart\u00ednez-Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Universitat Polit&#x00E8;cnica de Catalunya,Barcelona,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Franch","sequence":"additional","affiliation":[{"name":"Universitat Polit&#x00E8;cnica de Catalunya,Barcelona,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justus","family":"Bogner","sequence":"additional","affiliation":[{"name":"University of Stuttgart,Stuttgart,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510221"},{"key":"ref35","first-page":"1","article-title":"Holm's sequential bonferroni procedure","volume":"1","author":"abdi","year":"2010","journal-title":"Encyclopedia of Research Design"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2021.3102254"},{"key":"ref34","first-page":"528","article-title":"The goal question metric approach","author":"caldiera","year":"1994","journal-title":"Encyclopedia of Software Engineering"},{"key":"ref15","author":"cruz","year":"2021","journal-title":"All you need to know about Energy Metrics in Software Engineering"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-23618-1_3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1355"},{"key":"ref36","year":"0","journal-title":"Commission delegated regulation (eu) 2019\/2014 of 11 march 2019 supplementing regulation (eu) 2017\/1369 of the european parliament and of the council with regard to energy labelling of household washing machines and household washer-dryers"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.sustainlp-1.2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/GI52543.2021.00011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.179"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE48619.2023.00206"},{"key":"ref32","author":"creus","year":"2021","journal-title":"Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?"},{"key":"ref10","year":"2023","journal-title":"Replication Package for &#x2018;Exploring the Carbon Footprint of Hugging Face's ML Models A Repository Mining Study&#x2019;"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/challe6010117"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69970-3_1"},{"key":"ref17","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2019.2924498"},{"key":"ref16","author":"cruz","year":"2022","journal-title":"Tools to Measure Software Energy Consumption from your Computer"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49165-9_11"},{"key":"ref19","article-title":"Quantifying the carbon emissions of machine learning","author":"lacoste","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref18","author":"schmidt","year":"2023","journal-title":"Codecarbon"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1507"},{"key":"ref23","year":"2023","journal-title":"Autotrain Create powerful ai models without code"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2022.3148714"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jpdc.2019.07.007","article-title":"Estimation of energy consumption in machine learning","volume":"134","author":"garc\u00eda-mart\u00edn","year":"2019","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"ref20","article-title":"Huggingface's transformers: State-of-the-art natural language processing","author":"wolf","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref42","year":"0","journal-title":"NVIDIA Management Library (NVML) &#x2013; developer nvidia com"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1134\/S1064562422060230"},{"key":"ref22","year":"2023","journal-title":"Displaying carbon emissions for your model"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"ref43","year":"0","journal-title":"Running Average Power Limit Energy Reporting CVE-2020-8694 &#x2026; &#x2014; intel coe"},{"key":"ref28","article-title":"Energy Efficiency of Training Neural Network Architectures: An Empirical Study","author":"xu","year":"2023","journal-title":"Proceedings of the 56th Hawaii International Conference on System Sciences"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CAIN58948.2023.00012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICT4S55073.2022.00015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-8844-3_4"},{"key":"ref7","year":"2023","journal-title":"Hugging Face Hub Documentation"},{"key":"ref9","author":"chatterjee","year":"2023","journal-title":"Repository Mining Standard"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3487043"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/ic.2012.0004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8341973"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3381831"},{"key":"ref40","article-title":"Carbontracker: Tracking and predicting the carbon footprint of training deep learning models","author":"anthony","year":"2020","journal-title":"ArXiv Preprint"}],"event":{"name":"2023 ACM\/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","location":"New Orleans, LA, USA","start":{"date-parts":[[2023,10,26]]},"end":{"date-parts":[[2023,10,27]]}},"container-title":["2023 ACM\/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10304838\/10304789\/10304801.pdf?arnumber=10304801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:19:12Z","timestamp":1702322352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10304801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/esem56168.2023.10304801","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]}}}