{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:02:02Z","timestamp":1776092522528,"version":"3.50.1"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s00521-022-08001-x","type":"journal-article","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T17:03:01Z","timestamp":1670518981000},"page":"3585-3586","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Deep understanding of big geo-social data for autonomous vehicles"],"prefix":"10.1007","volume":"35","author":[{"given":"Shuo","family":"Shang","sequence":"first","affiliation":[]},{"given":"Jianbing","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Ji-Rong","family":"Wen","sequence":"additional","affiliation":[]},{"given":"Panos","family":"Kalnis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,8]]},"reference":[{"key":"8001_CR1","unstructured":"Wan C, Jin F, Qiao Z, Zhang W, Yuan Y, Unsupervised active learning with loss prediction, Neural Comput Appl"},{"key":"8001_CR2","unstructured":"Zheng X, Chen T, High spatial resolution remote sensing image segmentation based on the multiclassification model and the binary classification model. Neural Comput Appl"},{"key":"8001_CR3","unstructured":"Liu Z, Li Y, Liu H, Influence maximization based on maximum inner product search, Neural Comput Appl"},{"key":"8001_CR4","unstructured":"Zheng J, Yang Z, Liu W, Understanding the causal structure among the tags in marketing systems, Neural Comput Appl"},{"key":"8001_CR5","unstructured":"Shi J, Pan Z, Fang J, Chao P, RUTOD: real-time urban traffic outlier detection on streaming trajectory"},{"key":"8001_CR6","unstructured":"Liu Z, Li Y, Liu H, Fuzzy time-series prediction model based on text features and network features"},{"key":"8001_CR7","unstructured":"Zhao X, Bi X, Zeng X, Zhang Y, Fang Q, EDense: a convolutional neural network with ELM-based dense connections, Neural Comput Appl"},{"key":"8001_CR8","unstructured":"Zhong Q, Zeng F, Liao F, Liu J, Du B, Shang JS, Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation"},{"key":"8001_CR9","unstructured":"Zou W, Li L, Xu Z, Wu D, Xu CZ, Wang Y, Zhu H, Sun X, SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system"},{"key":"8001_CR10","unstructured":"Wang M, Li C, Ke F, Recurrent multi-level residual and global attention network for single image deraining"},{"key":"8001_CR11","unstructured":"Cheng J, Lian L, Xu Z, Wu D, Zhu H, Sun X, Wang Y, Geo-SPS: bipartite graph representation for GeoSpatial prenatal survey data"},{"key":"8001_CR12","unstructured":"Xu Y, Wang Z, Shang JS, PAENL: personalized attraction enhanced network learning for recommendation"},{"key":"8001_CR13","unstructured":"Sun H, Zhang Y, Chen P, Dan Z, Sun S, Wan J, Li W, Scale-free heterogeneous cycleGAN for defogging from a single image for autonomous driving in fog"},{"key":"8001_CR14","unstructured":"Wang H, Yang C, Zhang X, Gao X, Efficient locality-sensitive hashing over high-dimensional streaming data"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08001-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-08001-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08001-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T05:25:24Z","timestamp":1674797124000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-08001-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,8]]},"references-count":14,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["8001"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-08001-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,8]]},"assertion":[{"value":"27 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}