{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:15:07Z","timestamp":1730297707435,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"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":[[2021,10,17]]},"DOI":"10.1109\/smc52423.2021.9659263","type":"proceedings-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T20:34:35Z","timestamp":1641501275000},"page":"1585-1592","source":"Crossref","is-referenced-by-count":2,"title":["SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions"],"prefix":"10.1109","author":[{"given":"Stefan","family":"Roos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wilhelm","family":"Stork","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2020","key":"ref33","article-title":"The black-box optimization bench-marking (bbob) workshop series"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"ref31","first-page":"198","article-title":"Study of the various selection techniques in genetic algorithms","volume":"6","author":"yadav","year":"2017","journal-title":"Int J Math Eng Sci"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/info10120390"},{"article-title":"Cma-es for hyperparameter optimization of deep neural networks","year":"2016","author":"loshchilov","key":"ref35"},{"article-title":"The cma evolution strategy: A tutorial","year":"2016","author":"hansen","key":"ref34"},{"key":"ref10","first-page":"343","article-title":"Domain separation networks","volume":"29","author":"bousmalis","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Pay attention to features, transfer learn faster cnns","author":"wang","year":"2020","journal-title":"8th International Conference on Learning Representations ICLR 2020"},{"key":"ref12","article-title":"Adversarially robust transfer learning","author":"shafahi","year":"2020","journal-title":"8th International Conference on Learning Representations ICLR 2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00143"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794443"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00395"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460875"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"article-title":"Calculating stopping distance: Braking is not a matter of luck","year":"2020","author":"rechtien","key":"ref18"},{"key":"ref19","first-page":"1","article-title":"CARLA: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning"},{"journal-title":"Adaptation in Natural and Artificial Systems An Introductory Analysis With Applications to Biology Control and Artificial Intelligence","year":"1975","author":"holland","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01174-1_1"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/CVPR.2016.91","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"article-title":"Return of frustratingly easy domain adaptation","year":"2015","author":"sun","key":"ref6"},{"key":"ref29","first-page":"2171","article-title":"DEAP: Evolutionary algorithms made easy","volume":"13","author":"fortin","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.neucom.2018.05.083","article-title":"Deep visual domain adaptation: A survey","volume":"312","author":"wang","year":"2018","journal-title":"Neurocomputing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s20226532"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"year":"0","key":"ref20","article-title":"Mathworks, –RoadRunner,– 2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS.2018.00035"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13803"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2015.133"},{"article-title":"Bayesian Optimization: Open source constrained global optimization tool for Python","year":"2014","author":"nogueira","key":"ref26"},{"key":"ref25","first-page":"2951","article-title":"Practical bayesian optimization of machine learning algorithms","volume":"25","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2021,10,17]]},"location":"Melbourne, Australia","end":{"date-parts":[[2021,10,20]]}},"container-title":["2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9658572\/9658575\/09659263.pdf?arnumber=9659263","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:32Z","timestamp":1652201792000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9659263\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/smc52423.2021.9659263","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]}}}