{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:08:24Z","timestamp":1777637304002,"version":"3.51.4"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2021YFB3900902"],"award-info":[{"award-number":["2021YFB3900902"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/national","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U2003208"],"award-info":[{"award-number":["U2003208"]}],"id":[{"id":"10.13039\/national","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002767","name":"Hunan Provincial Science and Technology Department","doi-asserted-by":"publisher","award":["2016TP1003"],"award-info":[{"award-number":["2016TP1003"]}],"id":[{"id":"10.13039\/501100002767","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s00521-022-08008-4","type":"journal-article","created":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T14:07:46Z","timestamp":1668694066000},"page":"6207-6223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fast unsupervised consistent and modality-specific hashing for multimedia retrieval"],"prefix":"10.1007","volume":"35","author":[{"given":"Zhan","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiyin","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,17]]},"reference":[{"key":"8008_CR1","doi-asserted-by":"crossref","unstructured":"Gao D, Jin L, Chen B, Qiu M, Li P, Wei Y, Hu Y, Wang H (2020) Fashionbert: text and image matching with adaptive loss for cross-modal retrieval. In: ACM SIGIR. ACM, pp 2251\u20132260","DOI":"10.1145\/3397271.3401430"},{"key":"8008_CR2","doi-asserted-by":"crossref","unstructured":"Lin K, Xu X, Gao L, Wang Z, Shen HT (2020) Learning cross-aligned latent embeddings for zero-shot cross-modal retrieval. In: AAAI. AAAI Press, pp 11515\u201311522","DOI":"10.1609\/aaai.v34i07.6817"},{"key":"8008_CR3","doi-asserted-by":"crossref","unstructured":"Wang B, Yang Y, Xu X, Hanjalic A, Shen HT (2017) Adversarial cross-modal retrieval. In: ACM MM. ACM, pp 154\u2013162","DOI":"10.1145\/3123266.3123326"},{"issue":"5","key":"8008_CR4","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1109\/TMM.2019.2942494","volume":"22","author":"Y Wu","year":"2020","unstructured":"Wu Y, Wang S, Huang Q (2020) Online fast adaptive low-rank similarity learning for cross-modal retrieval. IEEE Trans Multimed 22(5):1310\u20131322","journal-title":"IEEE Trans Multimed"},{"key":"8008_CR5","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1109\/TIP.2020.3038354","volume":"30","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Zhou W, Wang M, Tian Q, Li H (2021) Deep relation embedding for cross-modal retrieval. IEEE Trans Image Process 30:617\u2013627","journal-title":"IEEE Trans Image Process"},{"key":"8008_CR6","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1109\/TMM.2020.2995267","volume":"23","author":"Z Wang","year":"2021","unstructured":"Wang Z, Zhang Z, Luo Y, Huang Z, Shen HT (2021) Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Trans Multimed 23:1274\u20131286","journal-title":"IEEE Trans Multimed"},{"key":"8008_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106188","volume":"204","author":"H Qiang","year":"2020","unstructured":"Qiang H, Wan Y, Liu Z, Xiang L, Meng X (2020) Discriminative deep asymmetric supervised hashing for cross-modal retrieval. Knowl Based Syst 204:106188","journal-title":"Knowl Based Syst"},{"key":"8008_CR8","doi-asserted-by":"crossref","unstructured":"Yang Z, Long J, Zhu L, Huang W (2020) Nonlinear robust discrete hashing for cross-modal retrieval. In: ACM SIGIR, pp 1349\u20131358","DOI":"10.1145\/3397271.3401152"},{"issue":"8","key":"8008_CR9","doi-asserted-by":"publisher","first-page":"2265","DOI":"10.1007\/s11263-020-01331-0","volume":"128","author":"Z Li","year":"2020","unstructured":"Li Z, Tang J, Zhang L, Yang J (2020) Weakly-supervised semantic guided hashing for social image retrieval. Int J Comput Vis 128(8):2265\u20132278","journal-title":"Int J Comput Vis"},{"key":"8008_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106857","volume":"218","author":"Y Fang","year":"2021","unstructured":"Fang Y, Li B, Li X, Ren Y (2021) Unsupervised cross-modal similarity via latent structure discrete hashing factorization. Knowl Based Syst 218:106857","journal-title":"Knowl Based Syst"},{"issue":"1","key":"8008_CR11","first-page":"102","volume":"28","author":"D Mandal","year":"2019","unstructured":"Mandal D, Chaudhury KN, Biswas S (2019) Generalized semantic preserving hashing for cross-modal retrieval. TIP 28(1):102\u2013112","journal-title":"TIP"},{"key":"8008_CR12","doi-asserted-by":"crossref","unstructured":"Bronstein MM, Bronstein AM, Michel F, Paragios N (2010) Data fusion through cross-modality metric learning using similarity-sensitive hashing. In: CVPR, pp 3594\u20133601","DOI":"10.1109\/CVPR.2010.5539928"},{"key":"8008_CR13","doi-asserted-by":"crossref","unstructured":"Liu X, Nie X, Zeng W, Cui C, Zhu L, Yin Y (2018) Fast discrete cross-modal hashing with regressing from semantic labels. In: ACM MM, pp 1662\u20131669","DOI":"10.1145\/3240508.3240683"},{"key":"8008_CR14","doi-asserted-by":"crossref","unstructured":"Shen F, Shen C, Liu W, Shen HT (2015) Supervised discrete hashing. In: IEEE conference on computer vision and pattern recognition, CVPR 2015, Boston, MA, USA, June 7\u201312, 2015, pp 37\u201345","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"8008_CR15","doi-asserted-by":"crossref","unstructured":"Luo X, Zhang P, Wu Y, Chen Z, Huang H, Xu X (2018) Asymmetric discrete cross-modal hashing. In: ICMR, pp 204\u2013212","DOI":"10.1145\/3206025.3206034"},{"key":"8008_CR16","doi-asserted-by":"crossref","unstructured":"Liu H, Wang R, Shan S, Chen X (2016) Deep supervised hashing for fast image retrieval. In: CVPR, pp 2064\u20132072","DOI":"10.1109\/CVPR.2016.227"},{"key":"8008_CR17","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neucom.2020.06.036","volume":"412","author":"Z Yang","year":"2020","unstructured":"Yang Z, Raymond OI, Huang W, Liao Z, Zhu L, Long J (2020) Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search. Neurocomputing 412:262\u2013275","journal-title":"Neurocomputing"},{"key":"8008_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106851","volume":"219","author":"F Li","year":"2021","unstructured":"Li F, Wang T, Zhu L, Zhang Z, Wang X (2021) Task-adaptive asymmetric deep cross-modal hashing. Knowl Based Syst 219:106851","journal-title":"Knowl Based Syst"},{"issue":"8","key":"8008_CR19","doi-asserted-by":"publisher","first-page":"4032","DOI":"10.1109\/TIP.2019.2903661","volume":"28","author":"C Deng","year":"2019","unstructured":"Deng C, Yang E, Liu T, Li J, Liu W, Tao D (2019) Unsupervised semantic-preserving adversarial hashing for image search. IEEE Trans Image Process 28(8):4032\u20134044","journal-title":"IEEE Trans Image Process"},{"key":"8008_CR20","doi-asserted-by":"crossref","unstructured":"Song J, Yang Y, Yang Y, Huang Z, Shen HT (2013) Inter-media hashing for large-scale retrieval from heterogeneous data sources. In: SIGMOD, pp 785\u2013796","DOI":"10.1145\/2463676.2465274"},{"key":"8008_CR21","doi-asserted-by":"crossref","unstructured":"Zhou J, Ding G, Guo Y (2014) Latent semantic sparse hashing for cross-modal similarity search. In: SIGIR, pp 415\u2013424","DOI":"10.1145\/2600428.2609610"},{"key":"8008_CR22","doi-asserted-by":"crossref","unstructured":"He K, Wen F, Sun J (2013) K-means hashing: an affinity-preserving quantization method for learning binary compact codes. In: CVPR, pp 2938\u20132945","DOI":"10.1109\/CVPR.2013.378"},{"issue":"12","key":"8008_CR23","doi-asserted-by":"publisher","first-page":"3034","DOI":"10.1109\/TPAMI.2018.2789887","volume":"40","author":"F Shen","year":"2018","unstructured":"Shen F, Xu Y, Liu L, Yang Y, Huang Z, Shen HT (2018) Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Trans Pattern Anal Mach Intell 40(12):3034\u20133044","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"8008_CR24","unstructured":"Weiss Y, Torralba A, Fergus R (2008) Spectral hashing. In: NIPS, pp 1753\u20131760"},{"issue":"4","key":"8008_CR25","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.1109\/TIP.2017.2781422","volume":"27","author":"H Zhang","year":"2018","unstructured":"Zhang H, Liu L, Long Y, Shao L (2018) Unsupervised deep hashing with pseudo labels for scalable image retrieval. IEEE Trans Image Process 27(4):1626\u20131638","journal-title":"IEEE Trans Image Process"},{"key":"8008_CR26","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.knosys.2019.02.004","volume":"171","author":"Y Fang","year":"2019","unstructured":"Fang Y, Zhang H, Ren Y (2019) Unsupervised cross-modal retrieval via multi-modal graph regularized smooth matrix factorization hashing. Knowl Based Syst 171:69\u201380","journal-title":"Knowl Based Syst"},{"key":"8008_CR27","doi-asserted-by":"crossref","unstructured":"Yu J, Zhou H, Zhan Y, Tao D (2021) Deep graph-neighbor coherence preserving network for unsupervised cross-modal hashing. In: AAAI. AAAI Press, pp 4626\u20134634","DOI":"10.1609\/aaai.v35i5.16592"},{"key":"8008_CR28","doi-asserted-by":"crossref","unstructured":"Zhang D, Li W (2014) Large-scale supervised multimodal hashing with semantic correlation maximization. In: AAAI, pp 2177\u20132183","DOI":"10.1609\/aaai.v28i1.8995"},{"issue":"5","key":"8008_CR29","first-page":"2494","volume":"26","author":"X Xu","year":"2017","unstructured":"Xu X, Shen F, Yang Y, Shen HT, Li X (2017) Learning discriminative binary codes for large-scale cross-modal retrieval. TIP 26(5):2494\u20132507","journal-title":"TIP"},{"key":"8008_CR30","doi-asserted-by":"crossref","unstructured":"Lin Z, Ding G, Hu M, Wang J (2015) Semantics-preserving hashing for cross-view retrieval. In: CVPR, pp 3864\u20133872","DOI":"10.1109\/CVPR.2015.7299011"},{"key":"8008_CR31","doi-asserted-by":"crossref","unstructured":"Kim S, Choi S (2013) Multi-view anchor graph hashing. In: ICASSP. IEEE, pp 3123\u20133127","DOI":"10.1109\/ICASSP.2013.6638233"},{"key":"8008_CR32","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1109\/TIP.2020.3038365","volume":"30","author":"M Meng","year":"2021","unstructured":"Meng M, Wang H, Yu J, Chen H, Wu J (2021) Asymmetric supervised consistent and specific hashing for cross-modal retrieval. IEEE Trans Image Process 30:986\u20131000","journal-title":"IEEE Trans Image Process"},{"key":"8008_CR33","doi-asserted-by":"crossref","unstructured":"Sun L, Ji S, Ye J (2008) A least squares formulation for canonical correlation analysis. In: ICML, ACM International Conference Proceeding Series, vol 307, pp 1024\u20131031","DOI":"10.1145\/1390156.1390285"},{"key":"8008_CR34","unstructured":"Kumar S, Udupa R (2011) Learning hash functions for cross-view similarity search. In: IJCAI, pp 1360\u20131365"},{"key":"8008_CR35","doi-asserted-by":"crossref","unstructured":"Lee K, Chen X, Hua G, Hu H, He X (2018) Stacked cross attention for image-text matching. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) ECCV, Lecture notes in computer science, vol 11208. Springer, Berlin, pp 212\u2013228","DOI":"10.1007\/978-3-030-01225-0_13"},{"key":"8008_CR36","doi-asserted-by":"crossref","unstructured":"Ding G, Guo Y, Zhou J (2014) Collective matrix factorization hashing for multimodal data. In: CVPR, pp 2083\u20132090","DOI":"10.1109\/CVPR.2014.267"},{"key":"8008_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107479","volume":"107","author":"D Wang","year":"2020","unstructured":"Wang D, Wang Q, He L, Gao X, Tian Y (2020) Joint and individual matrix factorization hashing for large-scale cross-modal retrieval. Pattern Recognit 107:107479","journal-title":"Pattern Recognit"},{"issue":"3","key":"8008_CR38","doi-asserted-by":"publisher","first-page":"30:1","DOI":"10.1145\/3389547","volume":"38","author":"M Cheng","year":"2020","unstructured":"Cheng M, Jing L, Ng MK (2020) Robust unsupervised cross-modal hashing for multimedia retrieval. ACM Trans Inf Syst 38(3):30:1-30:25","journal-title":"ACM Trans Inf Syst"},{"key":"8008_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107732","volume":"111","author":"L Wang","year":"2021","unstructured":"Wang L, Yang J, Zareapoor M, Zheng Z (2021) Cluster-wise unsupervised hashing for cross-modal similarity search. Pattern Recognit 111:107732","journal-title":"Pattern Recognit"},{"issue":"6","key":"8008_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102365","volume":"57","author":"D Ji","year":"2020","unstructured":"Ji D, Gao J, Fei H, Teng C, Ren Y (2020) A deep neural network model for speakers coreference resolution in legal texts. Inf Process Manag 57(6):102365","journal-title":"Inf Process Manag"},{"issue":"5","key":"8008_CR41","first-page":"1162","volume":"42","author":"RA Farrugia","year":"2020","unstructured":"Farrugia RA, Guillemot C (2020) Light field super-resolution using a low-rank prior and deep convolutional neural networks. IEEE Trans Pattern Anal Mach Intell 42(5):1162\u20131175","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"8008_CR42","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1109\/TIP.2020.3042083","volume":"30","author":"C Zhang","year":"2021","unstructured":"Zhang C, Liu A, Liu X, Xu Y, Yu H, Ma Y, Li T (2021) Interpreting and improving adversarial robustness of deep neural networks with neuron sensitivity. IEEE Trans Image Process 30:1291\u20131304","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"8008_CR43","doi-asserted-by":"publisher","first-page":"2090","DOI":"10.1109\/TNNLS.2020.2996498","volume":"32","author":"X Fu","year":"2021","unstructured":"Fu X, Wang W, Huang Y, Ding X, Paisley JW (2021) Deep multiscale detail networks for multiband spectral image sharpening. IEEE Trans Neural Netw Learn Syst 32(5):2090\u20132104","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"8008_CR44","doi-asserted-by":"crossref","unstructured":"Yang E, Deng C, Liu W, Liu X, Tao D, Gao X (2017) Pairwise relationship guided deep hashing for cross-modal retrieval. In: AAAI, pp 1618\u20131625","DOI":"10.1609\/aaai.v31i1.10719"},{"key":"8008_CR45","doi-asserted-by":"crossref","unstructured":"Jiang Q, Li W (2017) Deep cross-modal hashing. In: CVPR, pp 3270\u20133278","DOI":"10.1109\/CVPR.2017.348"},{"key":"8008_CR46","doi-asserted-by":"crossref","unstructured":"Wu G, Lin Z, Han J, Liu L, Ding G, Zhang B, Shen J (2018) Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval. In: IJCAI, pp 2854\u20132860","DOI":"10.24963\/ijcai.2018\/396"},{"key":"8008_CR47","doi-asserted-by":"publisher","first-page":"4643","DOI":"10.1109\/TIP.2020.2974065","volume":"29","author":"L Zhu","year":"2020","unstructured":"Zhu L, Lu X, Cheng Z, Li J, Zhang H (2020) Deep collaborative multi-view hashing for large-scale image search. IEEE Trans Image Process 29:4643\u20134655","journal-title":"IEEE Trans Image Process"},{"key":"8008_CR48","doi-asserted-by":"crossref","unstructured":"Zhang J, Peng Y, Yuan M (2018) Unsupervised generative adversarial cross-modal hashing. In: AAAI, pp 539\u2013546","DOI":"10.1609\/aaai.v32i1.11263"},{"issue":"1\u20132","key":"8008_CR49","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/s11263-014-0696-6","volume":"109","author":"M Shao","year":"2014","unstructured":"Shao M, Kit D, Fu Y (2014) Generalized transfer subspace learning through low-rank constraint. Int J Comput Vis 109(1\u20132):74\u201393","journal-title":"Int J Comput Vis"},{"issue":"1","key":"8008_CR50","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/TPAMI.2017.2785313","volume":"41","author":"M Kafai","year":"2019","unstructured":"Kafai M, Eshghi K (2019) Croification: Accurate kernel classification with the efficiency of sparse linear SVM. IEEE Trans Pattern Anal Mach Intell 41(1):34\u201348","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7553","key":"8008_CR51","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436\u2013444","journal-title":"Nature"},{"key":"8008_CR52","doi-asserted-by":"crossref","unstructured":"Rasiwasia N, Pereira JC, Coviello E, Doyle G, Lanckriet GRG, Levy R, Vasconcelos N (2010) A new approach to cross-modal multimedia retrieval. In: ACM MM. ACM, pp 251\u2013260","DOI":"10.1145\/1873951.1873987"},{"key":"8008_CR53","doi-asserted-by":"crossref","unstructured":"Huiskes M J, Lew M S (2008) The MIR flickr retrieval evaluation. In: ACM SIGMM, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"key":"8008_CR54","doi-asserted-by":"crossref","unstructured":"Chua T, Tang J, Hong R, Li H, Luo Z, Zheng Y (2009) NUS-WIDE: a real-world web image database from national university of Singapore. Iin: Proceedings of the 8th ACM international conference on image and video retrieval, CIVR 2009, Santorini Island, Greece, July 8\u201310, 2009","DOI":"10.1145\/1646396.1646452"},{"key":"8008_CR55","doi-asserted-by":"crossref","unstructured":"Chen Z, Wang Y, Li H, Luo X, Nie L, Xu X (2019) A two-step cross-modal hashing by exploiting label correlations and preserving similarity in both steps. In: ACM MM, pp 1694\u20131702","DOI":"10.1145\/3343031.3350862"},{"key":"8008_CR56","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. In: ICLR"},{"key":"8008_CR57","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li R, Li K, Li F (2009) Imagenet: a large-scale hierarchical image database. In: CVPR, pp 248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"8008_CR58","doi-asserted-by":"crossref","unstructured":"Liu H, Lin M, Zhang S, Wu Y, Huang F, Ji R (2018) Dense auto-encoder hashing for robust cross-modality retrieval. In: ACM MM. ACM, pp 1589\u20131597","DOI":"10.1145\/3240508.3240684"},{"key":"8008_CR59","doi-asserted-by":"publisher","first-page":"4079","DOI":"10.1109\/TMM.2020.3037456","volume":"23","author":"C Zheng","year":"2021","unstructured":"Zheng C, Zhu L, Cheng Z, Li J, Liu A (2021) Adaptive partial multi-view hashing for efficient social image retrieval. IEEE Trans Multimed 23:4079\u20134092","journal-title":"IEEE Trans Multimed"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08008-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-08008-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08008-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T19:20:53Z","timestamp":1677612053000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-08008-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,17]]},"references-count":59,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["8008"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-08008-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,17]]},"assertion":[{"value":"8 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}