{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T15:57:23Z","timestamp":1769183843161,"version":"3.49.0"},"reference-count":43,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T00:00:00Z","timestamp":1664064000000},"content-version":"vor","delay-in-days":267,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802279"],"award-info":[{"award-number":["61802279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6180021345"],"award-info":[{"award-number":["6180021345"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702281"],"award-info":[{"award-number":["61702281"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702366"],"award-info":[{"award-number":["61702366"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["18JCQNJC70300"],"award-info":[{"award-number":["18JCQNJC70300"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["19JCTPJC49200"],"award-info":[{"award-number":["19JCTPJC49200"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["19PTZWHZ00020"],"award-info":[{"award-number":["19PTZWHZ00020"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["19JCYBJC15800"],"award-info":[{"award-number":["19JCYBJC15800"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004517","name":"Tianjin University","doi-asserted-by":"publisher","award":["2019KJ019"],"award-info":[{"award-number":["2019KJ019"]}],"id":[{"id":"10.13039\/501100004517","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019065","name":"Tianjin Municipal Science and Technology Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011796","name":"Beijing Polytechnic College","doi-asserted-by":"publisher","award":["2022X017-KXZ"],"award-info":[{"award-number":["2022X017-KXZ"]}],"id":[{"id":"10.13039\/501100011796","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p>This article proposed a novel classification framework that can classify the samples of multiple domains based on the outputs of multiple models. Different from the existing methods that train single model on all domains, our framework trains multiple models on each domain. On a testing sample, the outputs of all trained models are used to predict the domain of this sample. Then, this sample is classified by the output of models that belong to the predicted domain. Experiments show that our framework achieved higher accuracy than the existing methods. Furthermore, our framework achieves good scalability on multiple domains.<\/jats:p>","DOI":"10.1155\/2022\/5578043","type":"journal-article","created":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T13:20:07Z","timestamp":1664112007000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Classification of Multi\u2010Domain Samples Based on the Cooperation of Multiple Models"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5406-294X","authenticated-orcid":false,"given":"Qingzeng","family":"Song","sequence":"first","affiliation":[]},{"given":"Junting","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Ping","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2116-4410","authenticated-orcid":false,"given":"Guanghao","family":"Jin","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2022,9,25]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-021-02874-w"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1149\/1945-7111\/ac5bac"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/his.14571"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-022-02529-9"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5534385"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2020.12.001"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/ac16dd"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06076-6"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.07.060"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-04250-0"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-021-02474-z"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10091-3"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-04076-w"},{"key":"e_1_2_8_14_2","doi-asserted-by":"crossref","unstructured":"AgrawalR. K.andJunejaA. Deep Learning Models for Medical Image Analysis: Challenges and Future Directions Proceedings of the Big Data Analytics 7th International Conference BDA 2019 December 2019 Ahmedabad India.","DOI":"10.1007\/978-3-030-37188-3_2"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8454327"},{"key":"e_1_2_8_16_2","first-page":"1","article-title":"A novel learning algorithm to optimize deep neural networks: evolved gradient direction optimizer (EVGO)","volume":"1","author":"Karabayir I.","year":"2020","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2017.11.007"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.orl.2021.08.008"},{"key":"e_1_2_8_19_2","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abf473"},{"key":"e_1_2_8_20_2","first-page":"752","article-title":"An energy and GPU-computation efficient backbone network for real-time object detection, \u201d 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","volume":"2019","author":"Lee Y.","year":"2019","journal-title":"IEEE"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3029857"},{"key":"e_1_2_8_22_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym13040706"},{"key":"e_1_2_8_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2018.2823338"},{"key":"e_1_2_8_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2962513"},{"key":"e_1_2_8_25_2","first-page":"1498","article-title":"A novel image classification model jointing attention and ResNet for scratch","volume":"1","author":"Zhao S.","year":"2020","journal-title":"IWCMC"},{"key":"e_1_2_8_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107072"},{"key":"e_1_2_8_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.133"},{"key":"e_1_2_8_28_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-04125-4"},{"key":"e_1_2_8_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01542-z"},{"key":"e_1_2_8_30_2","doi-asserted-by":"publisher","DOI":"10.3233\/jifs-201192"},{"key":"e_1_2_8_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-01018-5"},{"key":"e_1_2_8_32_2","first-page":"1","article-title":"Synergy between traditional classification and classification based on negative features in deep convolutional neural networks","volume":"33","author":"Miloevi N.","year":"2021","journal-title":"Neural Computing & Applications"},{"key":"e_1_2_8_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/mci.2021.3084393"},{"key":"e_1_2_8_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06701-4"},{"key":"e_1_2_8_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06679-z"},{"key":"e_1_2_8_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.034"},{"key":"e_1_2_8_37_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01381-4"},{"key":"e_1_2_8_38_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-021-17177-z"},{"key":"e_1_2_8_39_2","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899x\/1022\/1\/012120"},{"key":"e_1_2_8_40_2","unstructured":"Kaggle Datasets https:\/\/www.kaggle.com\/datasets\/puneet6060\/intel-image-classification."},{"key":"e_1_2_8_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2970023"},{"key":"e_1_2_8_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/lcomm.2019.2950201"},{"key":"e_1_2_8_43_2","unstructured":"Googleblog Scaling vision with sparse mixture of experts https:\/\/ai.googleblog.com\/2022\/01\/scaling-vision-with-sparse-mixture-of.html."}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2022\/5578043","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/2022\/5578043","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2022\/5578043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T21:26:18Z","timestamp":1769117178000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2022\/5578043"}},"subtitle":[],"editor":[{"given":"Dimitri","family":"Volchenkov","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["10.1155\/2022\/5578043"],"URL":"https:\/\/doi.org\/10.1155\/2022\/5578043","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]},"assertion":[{"value":"2022-05-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-08-18","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-09-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"5578043"}}