乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:05:10Z","timestamp":1740107110593,"version":"3.37.3"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T00:00:00Z","timestamp":1711584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T00:00:00Z","timestamp":1711584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871350"],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010248","name":"Zhejiang Province Public Welfare Technology Application Research Project","doi-asserted-by":"publisher","award":["LGG19F030011"],"id":[{"id":"10.13039\/501100010248","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s00371-024-03308-3","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T06:02:31Z","timestamp":1711605751000},"page":"6809-6823","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Search on dual-space: discretization accuracy-based architecture search for person re-identification"],"prefix":"10.1007","volume":"40","author":[{"given":"Xianbao","family":"Wang","sequence":"first","affiliation":[]},{"given":"Pengfei","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0547-7222","authenticated-orcid":false,"given":"Sheng","family":"Xiang","sequence":"additional","affiliation":[]},{"given":"Yangkai","family":"Weng","sequence":"additional","affiliation":[]},{"given":"Minghai","family":"Yao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,28]]},"reference":[{"key":"3308_CR1","doi-asserted-by":"crossref","unstructured":"Miao, J., Wu, Y., Liu, P., Ding, Y., Yang, Y.: Pose-guided feature alignment for occluded person re-identification. In:\u00a0Proceedings of the IEEE\/CVF international conference on computer vision\u00a0(pp. 542\u2013551) (2019)","DOI":"10.1109\/ICCV.2019.00063"},{"issue":"9","key":"3308_CR2","doi-asserted-by":"publisher","first-page":"4894","DOI":"10.1109\/tpami.2021.3079910","volume":"44","author":"R Hou","year":"2021","unstructured":"Hou, R., Ma, B., Chang, H., Gu, X., Shan, S., Chen, X.: Feature completion for occluded person re-identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9), 4894\u20134912 (2021). https:\/\/doi.org\/10.1109\/tpami.2021.3079910","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3308_CR3","doi-asserted-by":"crossref","unstructured":"Xiao, T., Li, H., Ouyang, W., Wang, X.: Learning deep feature representations with domain guided dropout for person re-identification. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 1249\u20131258) (2016)","DOI":"10.1109\/CVPR.2016.140"},{"key":"3308_CR4","doi-asserted-by":"crossref","unstructured":"Qian, X., Fu, Y., Xiang, T., Wang, W., Qiu, J., Wu, Y., Xue, X.: Pose-normalized image generation for person re-identification. In:\u00a0Proceedings of the European conference on computer vision (ECCV)\u00a0(pp. 650-667) (2018)","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"3308_CR5","unstructured":"Zheng, L., Yang, Y., and Hauptmann, A. G.: Person re-identification: Past, present and future. arXiv preprint arXiv:1610.02984, (2016)"},{"key":"3308_CR6","doi-asserted-by":"crossref","unstructured":"Ahmed, E., Jones, M., Marks, T. K.: An improved deep learning architecture for person re-identification. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 3908\u20133916) (2015)","DOI":"10.1109\/CVPR.2015.7299016"},{"key":"3308_CR7","doi-asserted-by":"crossref","unstructured":"Li, W., Zhao, R., Xiao, T., Wang, X.: Deepreid: Deep filter pairing neural network for person re-identification. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 152\u2013159) (2014)","DOI":"10.1109\/CVPR.2014.27"},{"key":"3308_CR8","doi-asserted-by":"crossref","unstructured":"Yi, D., Lei, Z., Liao, S., Li, S. Z.: Deep metric learning for person re-identification. In\u00a02014 22nd international conference on pattern recognition\u00a0(pp. 34-39). IEEE. (2014)","DOI":"10.1109\/ICPR.2014.16"},{"key":"3308_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 770\u2013778) (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"3308_CR10","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Rabinovich, A.: Going deeper with convolutions. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 1\u20139) (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"3308_CR11","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K. Q.: Densely connected convolutional networks. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 4700-4708) (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"3308_CR12","unstructured":"Liu, H., Simonyan, K., and Yang, Y.: Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055 (2018)."},{"key":"3308_CR13","doi-asserted-by":"crossref","unstructured":"Zoph, B., Vasudevan, V., Shlens, J., Le, Q. V.: Learning transferable architectures for scalable image recognition. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 8697\u20138710) (2018)","DOI":"10.1109\/CVPR.2018.00907"},{"key":"3308_CR14","unstructured":"Pham, H., Guan, M., Zoph, B., Le, Q., Dean, J.: Efficient neural architecture search via parameters sharing. In:\u00a0International conference on machine learning\u00a0(pp. 4095-4104). PMLR (2018)"},{"issue":"3","key":"3308_CR15","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1007\/s00371-022-02398-1","volume":"39","author":"Z Jia","year":"2023","unstructured":"Jia, Z., Li, Y., Tan, Z., Wang, W., Wang, Z., Yin, G.: Domain-invariant feature extraction and fusion for cross-domain person re-identification. Vis. Comput. 39(3), 1205\u20131216 (2023)","journal-title":"Vis. Comput."},{"key":"3308_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108448","volume":"126","author":"Q Guo","year":"2022","unstructured":"Guo, Q., Wu, X.-J., Kittler, J., Feng, Z.: Differentiable neural architecture learning for efficient neural networks. Pattern Recogn. 126, 108448 (2022)","journal-title":"Pattern Recogn."},{"key":"3308_CR17","unstructured":"Chen, X., Hsieh, C. J.: Stabilizing differentiable architecture search via perturbation-based regularization. In:\u00a0International conference on machine learning\u00a0(pp. 1554\u20131565). PMLR (2020)"},{"key":"3308_CR18","doi-asserted-by":"crossref","unstructured":"Liao, S., Hu, Y., Zhu, X., Li, S. Z.: Person re-identification by local maximal occurrence representation and metric learning. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 2197\u20132206) (2015)","DOI":"10.1109\/CVPR.2015.7298832"},{"issue":"2","key":"3308_CR19","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1109\/TIP.2017.2765836","volume":"27","author":"X Yang","year":"2017","unstructured":"Yang, X., Wang, M., Tao, D.: Person re-identification with metric learning using privileged information. IEEE Trans. Image Process. 27(2), 791\u2013805 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"3308_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Z., Wang, J., Gong, S., Lu, H., Tao, D.: Deep reinforcement active learning for human-in-the-loop person re-identification. In:\u00a0Proceedings of the IEEE\/CVF international conference on computer vision\u00a0(pp. 6122-6131) (2019)","DOI":"10.1109\/ICCV.2019.00622"},{"key":"3308_CR21","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, L., You, Y., Zou, X., Chen, V., Li, S., Weinberger, K. Q.: Resource aware person re-identification across multiple resolutions. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 8042\u20138051) (2018)","DOI":"10.1109\/CVPR.2018.00839"},{"key":"3308_CR22","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 7132\u20137141) (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"3308_CR23","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Zheng, L., Yang, Y.: Unlabeled samples generated by gan improve the person re-identification baseline in vitro. In:\u00a0Proceedings of the IEEE international conference on computer vision\u00a0(pp. 3754\u20133762) (2017)","DOI":"10.1109\/ICCV.2017.405"},{"key":"3308_CR24","doi-asserted-by":"crossref","unstructured":"Sun, Y., Zheng, L., Yang, Y., Tian, Q., Wang, S.: Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline). In:\u00a0Proceedings of the European conference on computer vision (ECCV)\u00a0(pp. 480\u2013496) (2018)","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"3308_CR25","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yang, Y., Cavallaro, A., Xiang, T.: Omni-scale feature learning for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF international conference on computer vision\u00a0(pp. 3702\u20133712) (2019)","DOI":"10.1109\/ICCV.2019.00380"},{"key":"3308_CR26","doi-asserted-by":"crossref","unstructured":"Gao, S., Wang, J., Lu, H., Liu, Z.: Pose-guided visible part matching for occluded person reid. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 11744-11752) (2020)","DOI":"10.1109\/CVPR42600.2020.01176"},{"key":"3308_CR27","unstructured":"Baker, B., Gupta, O., Naik, N., Raskar, R.: Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167, (2016)"},{"key":"3308_CR28","unstructured":"Real, E. et al.: Large-scale evolution of image classifiers. In: International Conference on Machine Learning: PMLR, pp. 2902\u20132911, (2017)."},{"key":"3308_CR29","unstructured":"Zoph, B., Le, Q. V.: Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578, (2016)"},{"key":"3308_CR30","unstructured":"Zela, A., Elsken, T., Saikia, T., Marrakchi, Y., Brox, T. Hutter, F.: Understanding and robustifying differentiable architecture search. arXiv preprint arXiv:1909.09656, (2019)"},{"key":"3308_CR31","doi-asserted-by":"crossref","unstructured":"Quan, R., Dong, X., Wu, Y., Zhu, L., Yang, Y.: Auto-reid: Searching for a part-aware convnet for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF International Conference on Computer Vision\u00a0(pp. 3750\u20133759) (2019)","DOI":"10.1109\/ICCV.2019.00385"},{"key":"3308_CR32","doi-asserted-by":"crossref","unstructured":"Fu, C., Hu, Y., Wu, X., Shi, H., Mei, T., He, R.: CM-NAS: Cross-modality neural architecture search for visible-infrared person re-identification. In:\u00a0Proceedings of the IEEE\/CVF International Conference on Computer Vision\u00a0(pp. 11823\u201311832) (2021)","DOI":"10.1109\/ICCV48922.2021.01161"},{"key":"3308_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, S., Cao, R., Wei, X., Wang, P., Zhang, Y.: Person re-identification with neural architecture search. In:\u00a0Chinese Conference on Pattern Recognition and Computer Vision (PRCV)\u00a0(pp. 540\u2013551). Cham: Springer International Publishing. (2019)","DOI":"10.1007\/978-3-030-31654-9_46"},{"issue":"5","key":"3308_CR34","doi-asserted-by":"publisher","first-page":"137","DOI":"10.3390\/a14050137","volume":"14","author":"Z Lei","year":"2021","unstructured":"Lei, Z., Yang, K., Jiang, K., Chen, S.: KDAS-ReID: architecture search for person re-identification via distilled knowledge with dynamic temperature. Algorithms 14(5), 137 (2021)","journal-title":"Algorithms"},{"key":"3308_CR35","doi-asserted-by":"crossref","unstructured":"Chen, Y., Wan, L., Li, Z., Jing, Q., Sun, Z.: Neural feature search for RGB-infrared person re-identification. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition\u00a0(pp. 587\u2013597) (2021)","DOI":"10.1109\/CVPR46437.2021.00065"},{"issue":"11","key":"3308_CR36","doi-asserted-by":"publisher","first-page":"6627","DOI":"10.1109\/TNNLS.2021.3082701","volume":"33","author":"Q Zhou","year":"2021","unstructured":"Zhou, Q., Zhong, B., Liu, X., Ji, R.: Attention-based neural architecture search for person re-identification. IEEE Trans Neural Netw Learn Syst 33(11), 6627\u20136639 (2021)","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"3308_CR37","doi-asserted-by":"crossref","unstructured":"Li, H., Wu, G., Zheng, W. S.: Combined depth space based architecture search for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition\u00a0(pp. 6729\u20136738) (2021)","DOI":"10.1109\/CVPR46437.2021.00666"},{"issue":"7","key":"3308_CR38","doi-asserted-by":"publisher","first-page":"2001","DOI":"10.1049\/ipr2.12465","volume":"16","author":"B Huang","year":"2022","unstructured":"Huang, B., Piao, Y., Zhang, H., Tang, Y.: Multi-scale feature combination for person re-identification. IET Image Proc. 16(7), 2001\u20132011 (2022)","journal-title":"IET Image Proc."},{"key":"3308_CR39","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J. Y., Kweon, I. S.: Cbam: Convolutional block attention module. In:\u00a0Proceedings of the European conference on computer vision (ECCV)\u00a0(pp. 3\u201319) (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"3308_CR40","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.neucom.2020.12.105","volume":"435","author":"H Gu","year":"2021","unstructured":"Gu, H., Fu, G., Li, J., Zhu, J.: Auto-ReID+: searching for a multi-branch ConvNet for person re-identification. Neurocomputing 435, 53\u201366 (2021). https:\/\/doi.org\/10.1016\/j.neucom.2020.12.105","journal-title":"Neurocomputing"},{"key":"3308_CR41","unstructured":"Wang, R., Cheng, M., Chen, X., Tang, X., and Hsieh, C.-J.: Rethinking architecture selection in differentiable NAS. arXiv preprint arXiv:2108.04392, (2021)"},{"key":"3308_CR42","doi-asserted-by":"crossref","unstructured":"Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., Tian, Q.: Scalable person re-identification: A benchmark. In:\u00a0Proceedings of the IEEE international conference on computer vision\u00a0(pp. 1116\u20131124) (2015)","DOI":"10.1109\/ICCV.2015.133"},{"key":"3308_CR43","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, L., Cao, D., Li, S.: Re-ranking person re-identification with k-reciprocal encoding. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 1318\u20131327) (2017)","DOI":"10.1109\/CVPR.2017.389"},{"key":"3308_CR44","doi-asserted-by":"crossref","unstructured":"Ristani, E., Solera, F., Zou, R., Cucchiara, R., Tomasi, C.: Performance measures and a data set for multi-target, multi-camera tracking. In:\u00a0European conference on computer vision\u00a0(pp. 17\u201335). Cham: Springer International Publishing (2016)","DOI":"10.1007\/978-3-319-48881-3_2"},{"issue":"04","key":"3308_CR45","first-page":"6664","volume":"34","author":"Q Yao","year":"2020","unstructured":"Yao, Q., Xu, J., Tu, W.-W., Zhu, Z.: Efficient neural architecture search via proximal iterations. Proc. AAAI Conf. Artific. Intell. 34(04), 6664\u20136671 (2020)","journal-title":"Proc. AAAI Conf. Artific. Intell."},{"issue":"9","key":"3308_CR46","doi-asserted-by":"publisher","first-page":"2953","DOI":"10.1109\/tpami.2021.3059510","volume":"43","author":"Y Xu","year":"2021","unstructured":"Xu, Y., et al.: Partially-connected neural architecture search for reduced computational redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 43(9), 2953\u20132970 (2021). https:\/\/doi.org\/10.1109\/tpami.2021.3059510","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3308_CR47","doi-asserted-by":"crossref","unstructured":"Dong, X., Yang, Y.: Searching for a robust neural architecture in four gpu hours. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition\u00a0(pp. 1761-1770) (2019)","DOI":"10.1109\/CVPR.2019.00186"},{"key":"3308_CR48","doi-asserted-by":"crossref","unstructured":"Si, J., Zhang, H., Li, C. G., Kuen, J., Kong, X., Kot, A. C., Wang, G.: Dual attention matching network for context-aware feature sequence based person re-identification. In:\u00a0Proceedings of the IEEE conference on computer vision and pattern recognition\u00a0(pp. 5363-5372) (2018)","DOI":"10.1109\/CVPR.2018.00562"},{"key":"3308_CR49","doi-asserted-by":"crossref","unstructured":"Chen, B., Deng, W., Hu, J. Mixed high-order attention network for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF international conference on computer vision\u00a0(pp. 371\u2013381) (2019)","DOI":"10.1109\/ICCV.2019.00046"},{"issue":"01","key":"3308_CR50","first-page":"8295","volume":"33","author":"Y Fu","year":"2019","unstructured":"Fu, Y., et al.: Horizontal pyramid matching for person re-identification. Proc AAAI Conf Artific Intell 33(01), 8295\u20138302 (2019)","journal-title":"Proc AAAI Conf Artific Intell"},{"key":"3308_CR51","doi-asserted-by":"crossref","unstructured":"Zheng, M., Karanam, S., Wu, Z., Radke, R. J.: Re-identification with consistent attentive siamese networks. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 5735\u20135744) (2019)","DOI":"10.1109\/CVPR.2019.00588"},{"key":"3308_CR52","doi-asserted-by":"crossref","unstructured":"Yang, W., Huang, H., Zhang, Z., Chen, X., Huang, K., Zhang, S.: Towards rich feature discovery with class activation maps augmentation for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 1389-1398) (2019)","DOI":"10.1109\/CVPR.2019.00148"},{"key":"3308_CR53","doi-asserted-by":"crossref","unstructured":"He, L., Liu, W.: Guided saliency feature learning for person re-identification in crowded scenes. In:\u00a0Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXVIII 16\u00a0(pp. 357\u2013373). Springer International Publishing. (2020)","DOI":"10.1007\/978-3-030-58604-1_22"},{"key":"3308_CR54","doi-asserted-by":"crossref","unstructured":"Wang, G. A., Yang, S., Liu, H., Wang, Z., Yang, Y., Wang, S., Sun, J.: High-order information matters: Learning relation and topology for occluded person re-identification. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 6449-6458) (2020)","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"3308_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108239","volume":"121","author":"G Wu","year":"2022","unstructured":"Wu, G., Zhu, X., Gong, S.: Learning hybrid ranking representation for person re-identification. Pattern Recogn. 121, 108239 (2022). https:\/\/doi.org\/10.1016\/j.patcog.2021.108239","journal-title":"Pattern Recogn."},{"key":"3308_CR56","doi-asserted-by":"crossref","unstructured":"Wang, G.A., Gong, S., Cheng, J., Hou, Z. Faster person re-identification. In\u00a0European conference on computer vision\u00a0(pp. 275\u2013292). Cham: Springer International Publishing (2020)","DOI":"10.1007\/978-3-030-58598-3_17"},{"key":"3308_CR57","doi-asserted-by":"crossref","unstructured":"Hou, R., Ma, B., Chang, H., Gu, X., Shan, S., & Chen, X.: Interaction-and-aggregation network for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 9317\u20139326) (2019)","DOI":"10.1109\/CVPR.2019.00954"},{"key":"3308_CR58","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Yang, X., Yu, Z., Zheng, L., Yang, Y., Kautz, J.: Joint discriminative and generative learning for person re-identification. In:\u00a0Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 2138\u20132147) (2019)","DOI":"10.1109\/CVPR.2019.00224"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03308-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-024-03308-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03308-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T10:08:23Z","timestamp":1727690903000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-024-03308-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,28]]},"references-count":58,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["3308"],"URL":"https:\/\/doi.org\/10.1007\/s00371-024-03308-3","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2024,3,28]]},"assertion":[{"value":"10 February 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There are no conflicts of interest in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}