{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:11:36Z","timestamp":1730247096311,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"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":[[2022,10,16]]},"DOI":"10.1109\/icip46576.2022.9897533","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T17:27:24Z","timestamp":1667496444000},"page":"3226-3230","source":"Crossref","is-referenced-by-count":0,"title":["Neural Architecture Search for Fracture Classification"],"prefix":"10.1109","author":[{"given":"Alois","family":"Pourchot","sequence":"first","affiliation":[{"name":"Sorbonne Université CNRS UMR 7222,ISIR,Paris,France,F-75005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Bailly","sequence":"additional","affiliation":[{"name":"Sorbonne Université CNRS UMR 7222,ISIR,Paris,France,F-75005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexis","family":"Ducarouge","sequence":"additional","affiliation":[{"name":"Gleamer,Paris,France,75010"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Sigaud","sequence":"additional","affiliation":[{"name":"Sorbonne Université CNRS UMR 7222,ISIR,Paris,France,F-75005"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2008.01049.x"},{"article-title":"Once- for-all: Train one network and specialize it for efficient deployment","volume-title":"Proc. of ICLR","author":"Cai","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72062-9_37"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2021203886"},{"article-title":"Efficient multi- objective neural architecture search via lamarckian evolution","volume-title":"Proc. of ICLR","author":"Elsken","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.210937.videosummary"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1806905115"},{"article-title":"DARTS: differentiable architecture search","volume-title":"Proc. of ICLR","author":"Liu","key":"ref10"},{"key":"ref11","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","author":"Pham","year":"2018","journal-title":"ICML"},{"article-title":"To share or not to share: A comprehensive appraisal of weight- sharing","year":"2020","author":"Pourchot","key":"ref12"},{"volume-title":"Nevergrad","year":"2018","author":"Rapin","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref15","first-page":"2902","article-title":"Large-scale evolution of image classifiers","volume-title":"Proceedings of Machine Learning Research","volume":"70","author":"Real"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/978-3-642-81283-5_8","article-title":"Evolutionsstrategien","volume-title":"Simulationsmethoden in der Medizin und Biologie","author":"Rechenberg","year":"1978"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21515-5_36"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s12194-017-0406-5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref21","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. of ICML","volume":"97","author":"Tan"},{"article-title":"Local search is state of the art for nas benchmarks","year":"2020","author":"White","key":"ref22"},{"volume-title":"Detectron2","year":"2019","author":"Wu","key":"ref23"},{"article-title":"NAS evaluation is frustratingly hard","volume-title":"Proc. of ICLR","author":"Yang","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_41"},{"article-title":"Evaluating the search phase of neural architecture search","volume-title":"Proc. of ICLR","author":"Yu","key":"ref26"},{"article-title":"Neural architecture search with reinforcement learning","volume-title":"Proc. of ICLR","author":"Zoph","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"}],"event":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2022,10,16]]},"location":"Bordeaux, France","end":{"date-parts":[[2022,10,19]]}},"container-title":["2022 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9897158\/9897159\/09897533.pdf?arnumber=9897533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T16:28:52Z","timestamp":1705940932000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9897533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,16]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icip46576.2022.9897533","relation":{},"subject":[],"published":{"date-parts":[[2022,10,16]]}}}