{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T08:47:51Z","timestamp":1766134071090},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T00:00:00Z","timestamp":1649116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T00:00:00Z","timestamp":1649116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s11042-022-12733-2","type":"journal-article","created":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T17:03:08Z","timestamp":1649178188000},"page":"30243-30266","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Grassmannian graph-attentional landmark selection for domain adaptation"],"prefix":"10.1007","volume":"81","author":[{"given":"Bin","family":"Sun","sequence":"first","affiliation":[]},{"given":"Shaofan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Dehui","family":"Kong","sequence":"additional","affiliation":[]},{"given":"Jinghua","family":"Li","sequence":"additional","affiliation":[]},{"given":"Baocai","family":"Yin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,5]]},"reference":[{"key":"12733_CR1","doi-asserted-by":"crossref","unstructured":"Aljundi R, Emonet R, Muselet D, Sebban M (2015) Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 56\u201363","DOI":"10.1109\/CVPR.2015.7298600"},{"key":"12733_CR2","doi-asserted-by":"crossref","unstructured":"Ben-David S, Blitzer J, Crammer K, Pereira F (2007) Analysis of representations for domain adaptation. In: Advances in Neural Information Processing Systems, pp 137\u2013144","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"12733_CR3","doi-asserted-by":"crossref","unstructured":"Cao Y, Long M, Wang J (2018) Unsupervised domain adaptation with distribution matching machines. In: Proceedings of the AAAI Conference on Artificial Intelligence","DOI":"10.1609\/aaai.v32i1.11792"},{"key":"12733_CR4","doi-asserted-by":"crossref","unstructured":"Chen C, Chen Z, Jiang B, Jin X (2019) Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation. In: Proceedings of the AAAI conference on artificial intelligence, pp 3296\u20133303","DOI":"10.1609\/aaai.v33i01.33013296"},{"key":"12733_CR5","doi-asserted-by":"crossref","unstructured":"Chen C, Xie W, Huang W, Rong Y, Ding X, Huang Y, Xu T, Huang J (2019) Progressive feature alignment for unsupervised domain adaptation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 627\u2013636","DOI":"10.1109\/CVPR.2019.00072"},{"issue":"9","key":"12733_CR6","doi-asserted-by":"publisher","first-page":"11173","DOI":"10.1007\/s11042-018-6690-1","volume":"78","author":"X Chen","year":"2019","unstructured":"Chen X, He F, Yu H (2019) A matting method based on full feature coverage. Multimed Tools Appl 78(9):11173\u201311201","journal-title":"Multimed Tools Appl"},{"issue":"12","key":"12733_CR7","doi-asserted-by":"publisher","first-page":"2264","DOI":"10.1109\/TCYB.2014.2305701","volume":"44","author":"Z Cui","year":"2014","unstructured":"Cui Z, Li W, Xu D, Shan S, Chen X, Li X (2014) Flowing on riemannian manifold: Domain adaptation by shifting covariance. IEEE Trans Cybern 44(12):2264\u20132273","journal-title":"IEEE Trans Cybern"},{"key":"12733_CR8","doi-asserted-by":"crossref","unstructured":"Dai W, Yang Q, Xue G-R, Yu Y (2007) Boosting for transfer learning. In: Proceedings of the International Conference on Machine Learning, pp 193\u2013200","DOI":"10.1145\/1273496.1273521"},{"issue":"3","key":"12733_CR9","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TMM.2011.2181343","volume":"14","author":"P Daras","year":"2011","unstructured":"Daras P, Manolopoulou S, Axenopoulos A (2011) Search and retrieval of rich media objects supporting multiple multimodal queries. IEEE Trans Multimed 14(3):734\u2013746","journal-title":"IEEE Trans Multimed"},{"key":"12733_CR10","unstructured":"Ding Z, Shao M, Fu Y (2015) Deep low-rank coding for transfer learning. In: International Joint Conference on Artificial Intelligence"},{"key":"12733_CR11","unstructured":"Donahue J, Jia Y, Vinyals O, Hoffman J, Zhang N, Tzeng E, Darrell T (2014) Decaf: A deep convolutional activation feature for generic visual recognition. In: Proceedings of the International Conference on Machine Learning, pp 647\u2013655"},{"key":"12733_CR12","doi-asserted-by":"crossref","unstructured":"Fang C, Xu Y, Rockmore DN (2013) Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias. In: IEEE International Conference on Computer Vision, pp 1657\u20131664","DOI":"10.1109\/ICCV.2013.208"},{"key":"12733_CR13","doi-asserted-by":"crossref","unstructured":"Fernando B, Habrard A, Sebban M, Tuytelaars T (2013) Unsupervised visual domain adaptation using subspace alignment. In: Proceedings of the IEEE International Conference on Computer Vision, pp 2960\u20132967","DOI":"10.1109\/ICCV.2013.368"},{"key":"12733_CR14","unstructured":"Ganin Y, Lempitsky V (2015) Unsupervised domain adaptation by backpropagation. In: International Conference on Machine Learning, pp 1180\u20131189"},{"issue":"1","key":"12733_CR15","first-page":"2096","volume":"17","author":"Y Ganin","year":"2016","unstructured":"Ganin Y, Ustinova E, Ajakan H, Germain P, Larochelle H, Laviolette F, Marchand M, Lempitsky V (2016) Domain-adversarial training of neural networks. J Mach Learn Res 17(1):2096\u20132030","journal-title":"J Mach Learn Res"},{"issue":"7","key":"12733_CR16","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1109\/TPAMI.2016.2599532","volume":"39","author":"M Ghifary","year":"2017","unstructured":"Ghifary M, Balduzzi D, Kleijn WB, Zhang M (2017) Scatter component analysis: A unified framework for domain adaptation and domain generalization. IEEE Trans Pattern Anal Mach Intell 39(7):1414\u20131430","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12733_CR17","doi-asserted-by":"crossref","unstructured":"Ghifary M, Kleijn WB, Zhang M, Balduzzi D, Li W (2016) Deep reconstruction-classification networks for unsupervised domain adaptation. In: European Conference on Computer Vision, pp 597\u2013613","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"12733_CR18","unstructured":"Gong B, Shi Y, Sha F, Grauman K (2012) Geodesic flow kernel for unsupervised domain adaptation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 2066\u20132073"},{"key":"12733_CR19","doi-asserted-by":"crossref","unstructured":"Gopalan R, Li R, Chellappa R (2011) Domain adaptation for object recognition: An unsupervised approach. In: IEEE International Conference on Computer Vision, pp 999\u20131006","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"12733_CR20","unstructured":"Griffin G, Holub A, Perona P (2007) Caltech-256 object category dataset"},{"key":"12733_CR21","unstructured":"Gu Q, Li Z, Han J, et al. (2011) Joint feature selection and subspace learning. In: International Joint Conference on Artificial Intelligence, pp 1294\u20131299"},{"issue":"12","key":"12733_CR22","doi-asserted-by":"publisher","first-page":"5552","DOI":"10.1109\/TIP.2016.2609820","volume":"25","author":"C-A Hou","year":"2016","unstructured":"Hou C-A, Tsai Y-HH, Yeh Y-R, Wang Y-CF (2016) Unsupervised domain adaptation with label and structural consistency. IEEE Trans Image Process 25(12):5552\u20135562","journal-title":"IEEE Trans Image Process"},{"key":"12733_CR23","doi-asserted-by":"crossref","unstructured":"Hubert Tsai Y-H, Yeh Y-R, Frank Wang Y-C (2016) Learning cross-domain landmarks for heterogeneous domain adaptation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 5081\u20135090","DOI":"10.1109\/CVPR.2016.549"},{"issue":"5","key":"12733_CR24","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/34.291440","volume":"16","author":"JJ Hull","year":"1994","unstructured":"Hull JJ (1994) A database for handwritten text recognition research. IEEE Trans Pattern Anal Mach Intell 16(5):550\u2013554","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12733_CR25","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp 1097\u20131105"},{"key":"12733_CR26","unstructured":"Kumar A, Sattigeri P, Wadhawan K, Karlinsky L, Feris R, Freeman WT, Wornell G (2018) Co-regularized alignment for unsupervised domain adaptation. In: Neural Information Processing Systems"},{"issue":"11","key":"12733_CR27","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278\u20132324","journal-title":"Proc IEEE"},{"key":"12733_CR28","doi-asserted-by":"crossref","unstructured":"Li H, He F, Liang Y, Quan Q (2019) A dividing-based many-objective evolutionary algorithm for large-scale feature selection. Soft Comput:1\u201320","DOI":"10.1007\/s00500-019-04324-5"},{"issue":"6","key":"12733_CR29","doi-asserted-by":"publisher","first-page":"2144","DOI":"10.1109\/TCYB.2018.2820174","volume":"49","author":"J Li","year":"2019","unstructured":"Li J, Lu K, Huang Z, Zhu L, Shen HT (2019) Transfer independently together: a generalized framework for domain adaptation. IEEE Trans Cybern 49(6):2144\u20132155","journal-title":"IEEE Trans Cybern"},{"key":"12733_CR30","unstructured":"Li J, Zhao J, Lu K (2016) Joint feature selection and structure preservation for domain adaptation. In: International Joint Conference on Artificial Intelligence, pp 1697\u20131703"},{"key":"12733_CR31","doi-asserted-by":"crossref","unstructured":"Liang Y, He F, Zeng X (2020) 3d mesh simplification with feature preservation based on whale optimization algorithm and differential evolution. Integrated Computer-Aided Engineering (Preprint):1\u201319","DOI":"10.3233\/ICA-200641"},{"key":"12733_CR32","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Sun J, Yu PS (2013) Transfer feature learning with joint distribution adaptation. In: IEEE International Conference on Computer Vision, pp 2200\u20132207","DOI":"10.1109\/ICCV.2013.274"},{"key":"12733_CR33","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Sun J, Yu PS (2014) Transfer joint matching for unsupervised domain adaptation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 1410\u20131417","DOI":"10.1109\/CVPR.2014.183"},{"issue":"6","key":"12733_CR34","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1109\/TKDE.2014.2373376","volume":"27","author":"M Long","year":"2014","unstructured":"Long M, Wang J, Sun J, Philip SY (2014) Domain invariant transfer kernel learning. IEEE Trans Knowl Data Eng 27(6):1519\u20131532","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"6","key":"12733_CR35","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1109\/TKDE.2014.2373376","volume":"27","author":"M Long","year":"2015","unstructured":"Long M, Wang J, Sun J, Philip SY (2015) Domain invariant transfer kernel learning. IEEE Trans Knowl Data Eng 27(6):1519\u20131532","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"9","key":"12733_CR36","doi-asserted-by":"publisher","first-page":"2419","DOI":"10.1109\/TMM.2019.2902100","volume":"21","author":"X Ma","year":"2019","unstructured":"Ma X, Zhang T, Xu C (2019) Deep multi-modality adversarial networks for unsupervised domain adaptation. IEEE Trans Multimed 21(9):2419\u20132431","journal-title":"IEEE Trans Multimed"},{"key":"12733_CR37","doi-asserted-by":"crossref","unstructured":"Maria Carlucci F, Porzi L, Caputo B, Ricci E, Rota Bulo S (2017) Autodial: Automatic domain alignment layers. In: Proceedings of the IEEE International Conference on Computer Vision, pp 5067\u20135075","DOI":"10.1109\/ICCV.2017.542"},{"key":"12733_CR38","unstructured":"Nie F, Huang H, Cai X, Ding C H (2010) Efficient and robust feature selection via joint l2, 1-norms minimization. In: Advances in Neural Information Processing Systems, pp 1813\u20131821"},{"key":"12733_CR39","doi-asserted-by":"crossref","unstructured":"Niu L, Cai J, Xu D (2016) Domain adaptive fisher vector for visual recognition. In: European Conference on Computer Vision, pp 550\u2013566","DOI":"10.1007\/978-3-319-46466-4_33"},{"issue":"2","key":"12733_CR40","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Tsang IW, Kwok JT, Yang Q (2010) Domain adaptation via transfer component analysis. IEEE Trans Neural Netw 22(2):199\u2013210","journal-title":"IEEE Trans Neural Netw"},{"issue":"10","key":"12733_CR41","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"8","key":"12733_CR42","doi-asserted-by":"publisher","first-page":"2086","DOI":"10.1109\/TMM.2017.2785227","volume":"20","author":"S Qian","year":"2017","unstructured":"Qian S, Zhang T, Xu C (2017) Cross-domain collaborative learning via discriminative nonparametric bayesian model. IEEE Trans Multimed 20 (8):2086\u20132099","journal-title":"IEEE Trans Multimed"},{"key":"12733_CR43","doi-asserted-by":"crossref","unstructured":"Roy S, Siarohin A, Sangineto E, Bulo SR, Sebe N, Ricci E (2019) Unsupervised domain adaptation using feature-whitening and consensus loss. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 9471\u20139480","DOI":"10.1109\/CVPR.2019.00970"},{"key":"12733_CR44","doi-asserted-by":"crossref","unstructured":"Saenko K, Kulis B, Fritz M, Darrell T (2010) Adapting visual category models to new domains. In: European Conference on Computer Vision, pp 213\u2013226","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"12733_CR45","doi-asserted-by":"crossref","unstructured":"Sun B, Feng J, Saenko K (2016) Return of frustratingly easy domain adaptation. In: AAAI Conference on Artificial Intelligence","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"12733_CR46","doi-asserted-by":"crossref","unstructured":"Sun B, Saenko K (2015) Subspace distribution alignment for unsupervised domain adaptation.. In: British Machine Vision Conference, vol 4, pp 1\u201310","DOI":"10.5244\/C.29.24"},{"key":"12733_CR47","doi-asserted-by":"crossref","unstructured":"Sun B, Saenko K (2016) Deep coral: Correlation alignment for deep domain adaptation. In: European Conference on Computer Vision, pp 443\u2013450","DOI":"10.1007\/978-3-319-49409-8_35"},{"issue":"2","key":"12733_CR48","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1007\/s10115-016-0944-x","volume":"50","author":"J Tahmoresnezhad","year":"2017","unstructured":"Tahmoresnezhad J, Hashemi S (2017) Visual domain adaptation via transfer feature learning. Knowl Inf Syst 50(2):585\u2013605","journal-title":"Knowl Inf Syst"},{"key":"12733_CR49","unstructured":"Tzeng E, Hoffman J, Zhang N, Saenko K, Darrell T (2014) Deep domain confusion: Maximizing for domain invariance. arXiv:1412.3474"},{"key":"12733_CR50","unstructured":"Velickovic P, Cucurull G, Casanova A, Romero A, Lio P, Bengio Y (2018) Graph attention networks. In: International Conference on Learning Representations"},{"key":"12733_CR51","unstructured":"Wan C, Pan R, Li J (2011) Bi-weighting domain adaptation for cross-language text classification. In: Twenty-Second International Joint Conference on Artificial Intelligence"},{"key":"12733_CR52","doi-asserted-by":"crossref","unstructured":"Wang J, Feng W, Chen Y, Yu H, Huang M, Yu PS (2018) Visual domain adaptation with manifold embedded distribution alignment. In: ACM International Conference on Multimedia, pp 402\u2013410","DOI":"10.1145\/3240508.3240512"},{"key":"12733_CR53","doi-asserted-by":"crossref","unstructured":"Wang Q, Breckon T (2020) Unsupervised domain adaptation via structured prediction based selective pseudo-labeling. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 6243\u20136250","DOI":"10.1609\/aaai.v34i04.6091"},{"key":"12733_CR54","doi-asserted-by":"crossref","unstructured":"Wang Q, Bu P, Breckon TP (2019) Unifying unsupervised domain adaptation and zero-shot visual recognition. In: International Joint Conference on Neural Networks (IJCNN), pp 1\u20138","DOI":"10.1109\/IJCNN.2019.8852015"},{"issue":"2","key":"12733_CR55","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1109\/TSC.2015.2501981","volume":"11","author":"Y Wu","year":"2015","unstructured":"Wu Y, He F, Zhang D, Li X (2015) Service-oriented feature-based data exchange for cloud-based design and manufacturing. IEEE Trans Serv Comput 11(2):341\u2013353","journal-title":"IEEE Trans Serv Comput"},{"issue":"2","key":"12733_CR56","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/TIP.2015.2510498","volume":"25","author":"Y Xu","year":"2015","unstructured":"Xu Y, Fang X, Wu J, Li X, Zhang D (2015) Discriminative transfer subspace learning via low-rank and sparse representation. IEEE Trans Image Process 25(2):850\u2013863","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"12733_CR57","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1109\/TKDE.2017.2669193","volume":"29","author":"Y Xu","year":"2017","unstructured":"Xu Y, Pan SJ, Xiong H, Wu Q, Luo R, Min H, Song H (2017) A unified framework for metric transfer learning. IEEE Trans Knowl Data Eng 29(6):1158\u20131171","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"12733_CR58","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S Yan","year":"2006","unstructured":"Yan S, Xu D, Zhang B, Zhang H-J, Yang Q, Lin S (2006) Graph embedding and extensions: A general framework for dimensionality reduction. IEEE Trans Pattern Anal Mach Intell 29(1):40\u201351","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12733_CR59","doi-asserted-by":"crossref","unstructured":"Yang Y, Lei Z, Zhang S, Shi H, Li S Z (2016) Metric embedded discriminative vocabulary learning for high-level person representation.. In: AAAI Conference on Artificial Intelligence, pp 3648\u20133654","DOI":"10.1609\/aaai.v30i1.10461"},{"key":"12733_CR60","doi-asserted-by":"crossref","unstructured":"Zhang J, Li W, Ogunbona P (2017) Joint geometrical and statistical alignment for visual domain adaptation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1859\u20131867","DOI":"10.1109\/CVPR.2017.547"},{"issue":"6","key":"12733_CR61","doi-asserted-by":"publisher","first-page":"1220","DOI":"10.1109\/TMM.2016.2646219","volume":"19","author":"L Zhang","year":"2016","unstructured":"Zhang L, Ma B, Li G, Huang Q, Tian Q (2016) Cross-modal retrieval using multiordered discriminative structured subspace learning. IEEE Trans Multimed 19(6):1220\u20131233","journal-title":"IEEE Trans Multimed"},{"key":"12733_CR62","doi-asserted-by":"crossref","unstructured":"Zhang W, Ouyang W, Li W, Xu D (2018) Collaborative and adversarial network for unsupervised domain adaptation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3801\u20133809","DOI":"10.1109\/CVPR.2018.00400"},{"issue":"9","key":"12733_CR63","doi-asserted-by":"publisher","first-page":"2292","DOI":"10.1109\/TMM.2019.2900166","volume":"21","author":"Y Zheng","year":"2019","unstructured":"Zheng Y, Wang X, Zhang G, Xiao B, Xiao F, Zhang J (2019) Multiple kernel coupled projections for domain adaptive dictionary learning. IEEE Trans Multimed 21(9):2292\u20132304","journal-title":"IEEE Trans Multimed"},{"key":"12733_CR64","doi-asserted-by":"crossref","unstructured":"Zhuo J, Wang S, Zhang W, Huang Q (2017) Deep unsupervised convolutional domain adaptation. In: ACM International Conference on Multimedia, pp 261\u2013269","DOI":"10.1145\/3123266.3123292"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12733-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-12733-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12733-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T17:36:30Z","timestamp":1700415390000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-12733-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,5]]},"references-count":64,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["12733"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-12733-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,5]]},"assertion":[{"value":"13 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}