{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T04:06:49Z","timestamp":1776053209883,"version":"3.50.1"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032073426","type":"print"},{"value":"9783032073433","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-07343-3_43","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:09:52Z","timestamp":1767312592000},"page":"539-551","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of\u00a0Long-Term Player Action Prediction Performance Based on\u00a0Causal Modelling in\u00a0Rugby League"],"prefix":"10.1007","author":[{"given":"Jiaxuan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruigeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahrokh","family":"Heidari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David Soriano","family":"Valdez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitchell","family":"Rogers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ga\u00ebl","family":"Gendron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yani","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Mir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yalu","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riki","family":"Mitchell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfonso Gastelum","family":"Strozzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel","family":"Noronha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Witbrock","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrice","family":"Delmas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Ara\u00fajo, D., Couceiro, M., Seifert, L., Sarmento, H., Davids, K.: Artificial intelligence in sport performance analysis. Routledge (2021)","DOI":"10.4324\/9781003163589"},{"key":"43_CR2","doi-asserted-by":"crossref","unstructured":"Binthu\u00a0Mathavan, S., Praveen, A.: Sports analytics in operative football coaching. In: Sports Analytics: Data-Driven Sports and Decision Intelligence, pp. 113\u2013127. Springer (2024)","DOI":"10.1007\/978-3-031-63573-1_7"},{"key":"43_CR3","unstructured":"Brody, S., Alon, U., Yahav, E.: How attentive are graph attention networks? (2022). https:\/\/arxiv.org\/abs\/2105.14491"},{"key":"43_CR4","first-page":"1","volume":"2","author":"TH Davenport","year":"2014","unstructured":"Davenport, T.H.: Analytics in sports: the new science of winning. Int. Inst. Anal. 2, 1\u201328 (2014)","journal-title":"Int. Inst. Anal."},{"key":"43_CR5","doi-asserted-by":"publisher","unstructured":"Gendron, G., et al.: Behaviour modelling of social animals via causal structure discovery and graph neural networks. In: Dastani, M., Sichman, J.S., Alechina, N., Dignum, V. (eds.) Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, 6\u201310 May 2024, pp. 2276\u20132278. International Foundation for Autonomous Agents and Multiagent Systems\/ACM (2024). https:\/\/doi.org\/10.5555\/3635637.3663132","DOI":"10.5555\/3635637.3663132"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Goka, R., Moroto, Y., Maeda, K., Ogawa, T., Haseyama, M.: What to do and where to go next? Action prediction in soccer using multimodal co-attention transformer. In: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports, pp. 75\u201379 (2024)","DOI":"10.1145\/3689061.3689076"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Goka, R., Moroto, Y., Maeda, K., Ogawa, T., Shih, H.C., Haseyama, M.: Masked modeling-based action event prediction considering bidirectional time-series in soccer. In: International Workshop on Advanced Imaging Technology (IWAIT) 2024, vol. 13164, pp. 628\u2013633. SPIE (2024)","DOI":"10.1117\/12.3019688"},{"key":"43_CR8","unstructured":"Guimaraes, R.R.: Deep learning macroeconomics. arXiv preprint arXiv:2201.13380 (2022)"},{"issue":"2","key":"43_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.acha.2010.04.005","volume":"30","author":"DK Hammond","year":"2011","unstructured":"Hammond, D.K., Vandergheynst, P., Gribonval, R.: Wavelets on graphs via spectral graph theory. Appl. Comput. Harmon. Anal. 30(2), 129\u2013150 (2011)","journal-title":"Appl. Comput. Harmon. Anal."},{"key":"43_CR10","doi-asserted-by":"publisher","unstructured":"Heidari, S., et al.: Exploring the application of knowledge transfer to sports video data. Front. Sports Active Living 6 (2025). https:\/\/doi.org\/10.3389\/fspor.2024.1460429","DOI":"10.3389\/fspor.2024.1460429"},{"key":"43_CR11","doi-asserted-by":"crossref","unstructured":"Ibh, M., Gra\u00dfhof, S., Hansen, D.W.: A stroke of genius: predicting the next move in badminton. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3376\u20133385 (2024)","DOI":"10.1109\/CVPRW63382.2024.00342"},{"key":"43_CR12","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks (2017)"},{"key":"43_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1007\/978-3-319-10602-1_39","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Yu Kong","year":"2014","unstructured":"Kong, Yu., Kit, D., Fu, Y.: A discriminative model with multiple temporal scales for action prediction. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 596\u2013611. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_39"},{"key":"43_CR14","doi-asserted-by":"crossref","unstructured":"Kong, Y., Tao, Z., Fu, Y.: Deep sequential context networks for action prediction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1473\u20131481 (2017)","DOI":"10.1109\/CVPR.2017.390"},{"issue":"6","key":"43_CR15","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1080\/02640414.2012.746720","volume":"31","author":"R Mackenzie","year":"2013","unstructured":"Mackenzie, R., Cushion, C.: Performance analysis in football: a critical review and implications for future research. J. Sports Sci. 31(6), 639\u2013676 (2013)","journal-title":"J. Sports Sci."},{"issue":"4","key":"43_CR16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s41060-017-0093-7","volume":"5","author":"E Morgulev","year":"2018","unstructured":"Morgulev, E., Azar, O.H., Lidor, R.: Sports analytics and the big-data era. Int. J. Data Sci. Anal. 5(4), 213\u2013222 (2018). https:\/\/doi.org\/10.1007\/s41060-017-0093-7","journal-title":"Int. J. Data Sci. Anal."},{"key":"43_CR17","doi-asserted-by":"crossref","unstructured":"Neuberg, L.G.: Causality: models, reasoning, and inference, by Judea Pearl, Cambridge University Press, 2000. Econom. Theory 19(4), 675\u2013685 (2003)","DOI":"10.1017\/S0266466603004109"},{"key":"43_CR18","unstructured":"Qui\u00f1onero-Candela, J., Sugiyama, M., Schwaighofer, A., Lawrence, N.D.: Dataset Shift in Machine Learning. MIT Press (2022)"},{"key":"43_CR19","doi-asserted-by":"crossref","unstructured":"Runge, J., Nowack, P., Kretschmer, M., Flaxman, S., Sejdinovic, D.: Detecting and quantifying causal associations in large nonlinear time series datasets. Sci. Adv. 5(11), eaau4996 (2019)","DOI":"10.1126\/sciadv.aau4996"},{"key":"43_CR20","doi-asserted-by":"crossref","unstructured":"Shi, Y., Huang, Z., Feng, S., Zhong, H., Wang, W., Sun, Y.: Masked label prediction: unified message passing model for semi-supervised classification (2021). https:\/\/arxiv.org\/abs\/2009.03509","DOI":"10.24963\/ijcai.2021\/214"},{"key":"43_CR21","doi-asserted-by":"crossref","unstructured":"Stephanos, D.K., Husari, G., Bennett, B.T., Stephanos, E.: Machine learning predictive analytics for player movement prediction in NBA: applications, opportunities, and challenges. In: Proceedings of the 2021 ACM Southeast Conference, pp.\u00a02\u20138 (2021)","DOI":"10.1145\/3409334.3452064"},{"key":"43_CR22","first-page":"16846","volume":"34","author":"X Sun","year":"2021","unstructured":"Sun, X., et al.: Recovering latent causal factor for generalization to distributional shifts. Adv. Neural. Inf. Process. Syst. 34, 16846\u201316859 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"43_CR23","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.cviu.2017.04.011","volume":"159","author":"G Thomas","year":"2017","unstructured":"Thomas, G., Gade, R., Moeslund, T.B., Carr, P., Hilton, A.: Computer vision for sports: current applications and research topics. Comput. Vis. Image Underst. 159, 3\u201318 (2017)","journal-title":"Comput. Vis. Image Underst."},{"key":"43_CR24","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks (2018)"},{"key":"43_CR25","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Causal behaviour modelling for player action prediction in rugby league using graph neural networks. In: 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ), pp.\u00a01\u20136. IEEE (2024)","DOI":"10.1109\/IVCNZ64857.2024.10794449"},{"key":"43_CR26","doi-asserted-by":"crossref","unstructured":"Xie, J., Cheng, X.: Volleyball game tactical data prediction system using computer vision technology. In: 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII), pp. 588\u2013594. IEEE (2024)","DOI":"10.1109\/ICMIII62623.2024.00116"},{"key":"43_CR27","unstructured":"Yun, S., Jeong, M., Kim, R., Kang, J., Kim, H.J.: Graph transformer networks. In: Wallach, H., Larochelle, H., Beygelzimer, A., d\u2019Alch\u00e9-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol.\u00a032. Curran Associates, Inc. (2019). https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2019\/file\/9d63484abb477c97640154d40595a3bb-Paper.pdf"}],"container-title":["Lecture Notes in Computer Science","Advanced Concepts for Intelligent Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-07343-3_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:09:54Z","timestamp":1767312594000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-07343-3_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032073426","9783032073433"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-07343-3_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIVS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Concepts for Intelligent Vision Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acivs2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.acivs2025.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}