{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:06:40Z","timestamp":1761599200464,"version":"3.37.3"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100013209","name":"Hellenic Foundation for Research and Innovation","doi-asserted-by":"publisher","award":["646"],"award-info":[{"award-number":["646"]}],"id":[{"id":"10.13039\/501100013209","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Macedonia Research Committee","award":["20540"],"award-info":[{"award-number":["20540"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s00521-020-04915-6","type":"journal-article","created":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T13:04:12Z","timestamp":1587387852000},"page":"17321-17332","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The effect of reduced training in neural architecture search"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5877-0943","authenticated-orcid":false,"given":"George","family":"Kyriakides","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1750-5115","authenticated-orcid":false,"given":"Konstantinos","family":"Margaritis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"key":"4915_CR1","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/B978-0-12-815480-9.00015-3","volume-title":"Artificial intelligence in the age of neural networks and brain computing","author":"R Miikkulainen","year":"2019","unstructured":"Miikkulainen R, Liang J, Meyerson E, Rawal A, Fink D, Francon O, Raju B, Shahrzad H, Navruzyan A, Duffy N, Hodjat B (2019) Evolving deep neural networks. In: Kozma R, Alippi C, Choe Y, Morabito FC (eds) Artificial intelligence in the age of neural networks and brain computing. Elsevier, Amsterdam, pp 293\u2013312"},{"key":"4915_CR2","unstructured":"Ying C, Klein A, Real E, Christiansen E, Murphy K, Hutter F (2019) NAS-Bench-101: towards reproducible neural architecture search. https:\/\/arxiv.org\/abs\/1902.09635. Accessed 18 Apr 2020"},{"key":"4915_CR3","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1162\/106365602320169811","volume":"10","author":"KO Stanley","year":"2002","unstructured":"Stanley KO, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10:99\u2013127","journal-title":"Evol Comput"},{"key":"4915_CR4","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1162\/evco.1997.5.4.373","volume":"5","author":"DE Moriarty","year":"1997","unstructured":"Moriarty DE, Miikkulainen R (1997) Forming neural networks through efficient and adaptive coevolution. Evol Comput 5:373\u2013399","journal-title":"Evol Comput"},{"key":"4915_CR5","doi-asserted-by":"crossref","unstructured":"Liang J, Meyerson E, Miikkulainen R (2018) Evolutionary architecture search for deep multitask networks In: Proceedings of the genetic and evolutionary computation conference","DOI":"10.1145\/3205455.3205489"},{"key":"4915_CR6","unstructured":"Zoph B, Le Q (2016) Neural architecture search with reinforcement learning. https:\/\/arxiv.org\/abs\/1611.01578. Accessed 18 Apr 2020"},{"key":"4915_CR7","doi-asserted-by":"crossref","unstructured":"Zoph B, Vasudevan V, Shlens J, Le QV (2018) Learning transferable architectures for scalable image recognition. In: 2018 IEEE\/CVF conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2018.00907"},{"key":"4915_CR8","unstructured":"Cai H, Zhu L, Han S (2018) ProxylessNAS: direct neural architecture search on target task and hardware. https:\/\/arxiv.org\/abs\/1812.00332. Accessed 18 Apr 2020"},{"key":"4915_CR9","doi-asserted-by":"crossref","unstructured":"Liu C, Zoph B, Neumann M, Shlens J, Hua W, Li L-J, Fei-Fei L, Yuille A, Huang J, Murphy K (2018) Progressive neural architecture search. In: Computer vision\u2014ECCV 2018, Springer International Publishing, pp 19\u201335","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"4915_CR10","doi-asserted-by":"crossref","unstructured":"Real E, Aggarwal A, Huang Y, Le QV (2019) Regularized evolution for image classifier architecture search. In: Proceedings of the AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"4915_CR11","unstructured":"Krizhevsky A, Hinton G (2009) Learning multiple layers of features from tiny images. http:\/\/citeseerx.ist.psu.edu\/viewdoc\/summary?doi=10.1.1.222.9220&rank=1. Accessed 18 Apr 2020"},{"key":"4915_CR12","doi-asserted-by":"crossref","unstructured":"Kyriakides G, Margaritis KG (2018) Towards automated neural design. In: Proceedings of the 22nd Pan-Hellenic conference on informatics\u2014PCI 18","DOI":"10.1145\/3291533.3291564"},{"key":"4915_CR13","unstructured":"Paszke A, Gross S, Chintala S, Chanan G, Yang E, DeVito Z, Lin Z, Desmaison A, Antiga L, Lerer A (2017) Automatic differentiation in PyTorch. https:\/\/openreview.net\/forum?id=BJJsrmfCZ. Accessed 18 Apr 2020"},{"key":"4915_CR14","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1093\/biomet\/30.1-2.81","volume":"30","author":"MG Kendall","year":"1938","unstructured":"Kendall MG (1938) A new measure of rank correlation. Biometrika 30:81","journal-title":"Biometrika"},{"key":"4915_CR15","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1080\/01621459.1999.10474187","volume":"94","author":"B Efron","year":"1999","unstructured":"Efron B, Petrosian V (1999) Nonparametric methods for doubly truncated data. J Am Stat Assoc 94:824\u2013834","journal-title":"J Am Stat Assoc"},{"key":"4915_CR16","unstructured":"Biscani F, Izzo D, Jakob W, M\u00e4rtens M, C M, Mereta A, Kaldemeyer C, Lyskov S, Corlay S, Pritchard B, Manani K, Mabille J, Acciarini G, Webb O, Huebl A, Looz M, L\u00f3pez-Ib\u00e1\u00f1ez M, Lee J, Travers J, Jordan J, Smirnov I, Nguyen H, Lema F, O'Leary E, Mambrini A (2020) esa\/pagmo2: pagmo 2.15.0. In: Zenodo. https:\/\/zenodo.org\/record\/3738182#.Xpq27MgzaUk. Accessed 18 Apr 2020"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04915-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-04915-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04915-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T00:05:57Z","timestamp":1618877157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-04915-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,20]]},"references-count":16,"journal-issue":{"issue":"23","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["4915"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-04915-6","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2020,4,20]]},"assertion":[{"value":"11 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}