{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T04:09:32Z","timestamp":1750392572719,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819682942","type":"print"},{"value":"9789819682959","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-8295-9_33","type":"book-chapter","created":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T17:47:35Z","timestamp":1750355255000},"page":"444-456","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ShuttleSHAP: A Turn-Based Feature Attribution Approach for\u00a0Analyzing Forecasting Models in\u00a0Badminton"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6551-1720","authenticated-orcid":false,"given":"Wei-Yao","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0172-7311","authenticated-orcid":false,"given":"Wen-Chih","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8180-2886","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,20]]},"reference":[{"key":"33_CR1","unstructured":"Ancona, M., \u00d6ztireli, C., Gross, M.H.: Explaining deep neural networks with a polynomial time algorithm for shapley value approximation. In: ICML. Proceedings of Machine Learning Research, vol.\u00a097, pp. 272\u2013281. PMLR (2019)"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Bento, J., Saleiro, P., Cruz, A.F., Figueiredo, M.A.T., Bizarro, P.: Timeshap: explaining recurrent models through sequence perturbations. In: KDD, pp. 2565\u20132573. ACM (2021)","DOI":"10.1145\/3447548.3467166"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Chang, K., Wang, W., Peng, W.: Where will players move next? dynamic graphs and hierarchical fusion for movement forecasting in badminton. In: AAAI, pp. 6998\u20137005. AAAI Press (2023)","DOI":"10.1609\/aaai.v37i6.25855"},{"key":"33_CR4","doi-asserted-by":"publisher","unstructured":"Feng, S., Wallace, E., Grissom\u00a0II, A., Iyyer, M., Rodriguez, P., Boyd-Graber, J.: Pathologies of neural models make interpretations difficult. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3719\u20133728. Association for Computational Linguistics (Oct-Nov 2018). https:\/\/doi.org\/10.18653\/v1\/D18-1407","DOI":"10.18653\/v1\/D18-1407"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Giuliari, F., Hasan, I., Cristani, M., Galasso, F.: Transformer networks for trajectory forecasting. In: 25th International Conference on Pattern Recognition, pp. 10335\u201310342. IEEE (2020)","DOI":"10.1109\/ICPR48806.2021.9412190"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Han, X., Wallace, B.C., Tsvetkov, Y.: Explaining black box predictions and unveiling data artifacts through influence functions. In: ACL, pp. 5553\u20135563. Association for Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.acl-main.492"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Huang, L., Hsueh, N., Chien, Y., Wang, W., Wang, K., Peng, W.: A reinforcement learning badminton environment for simulating player tactics (student abstract). In: AAAI, pp. 16232\u201316233. AAAI Press (2023)","DOI":"10.1609\/aaai.v37i13.26976"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Janzing, D., Balduzzi, D., Grosse-Wentrup, M., Sch\u00f6lkopf, B.: Quantifying causal influences (2013)","DOI":"10.1214\/13-AOS1145"},{"issue":"3","key":"33_CR9","doi-asserted-by":"publisher","first-page":"1726","DOI":"10.3390\/s23031726","volume":"23","author":"W Li","year":"2023","unstructured":"Li, W., Liu, X., An, K., Qin, C., Cheng, Y.: Table tennis track detection based on temporal feature multiplexing network. Sensors 23(3), 1726 (2023)","journal-title":"Sensors"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Lien, Y., Lin, Y., Wang, Y.: Uncertainty awareness for predicting noisy stock price movements. In: ECML\/PKDD (6). Lecture Notes in Computer Science, vol. 13718, pp. 154\u2013169. Springer (2022)","DOI":"10.1007\/978-3-031-26422-1_10"},{"key":"33_CR11","unstructured":"Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. In: NIPS, pp. 4765\u20134774 (2017)"},{"issue":"9","key":"33_CR12","doi-asserted-by":"publisher","first-page":"1433","DOI":"10.1080\/00140130701393452","volume":"50","author":"AC Macquet","year":"2007","unstructured":"Macquet, A.C., Fleurance, P.: Naturalistic decision-making in expert badminton players. Ergonomics 50(9), 1433\u20131450 (2007)","journal-title":"Ergonomics"},{"key":"33_CR13","unstructured":"Makansi, O., et al.: You mostly walk alone: Analyzing feature attribution in trajectory prediction. In: ICLR, OpenReview.net (2022)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Shapley, L.S.: A value for n-person games. Classics in game theory 69 (1997)","DOI":"10.2307\/j.ctv173f1fh.12"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Sun, X., Davis, J., Schulte, O., Liu, G.: Cracking the black box: distilling deep sports analytics. In: KDD \u201920: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3154\u20133162 (2020)","DOI":"10.1145\/3394486.3403367"},{"key":"33_CR16","unstructured":"Sundararajan, M., Taly, A., Yan, Q.: Axiomatic attribution for deep networks. In: ICML, Proceedings of Machine Learning Research, vol.\u00a070, pp. 3319\u20133328. PMLR (2017)"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Wang, W.: Modeling turn-based sequences for player tactic applications in badminton matches. In: CIKM, pp. 5128\u20135131. ACM (2022)","DOI":"10.1145\/3511808.3557820"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Wang, W., Chan, T., Peng, W., Yang, H., Wang, C., Fan, Y.: How is the stroke? inferring shot influence in badminton matches via long short-term dependencies. ACM Trans. Intell. Syst. Technol. 14(1), 7:1\u20137:22 (2023)","DOI":"10.1145\/3551391"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Wang, W., Chan, T., Yang, H., Wang, C., Fan, Y., Peng, W.: Exploring the long short-term dependencies to infer shot influence in badminton matches. In: ICDM, pp. 1397\u20131402. IEEE (2021)","DOI":"10.1109\/ICDM51629.2021.00178"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Wang, W.Y., Du, W.W., Peng, W.C., Ik, T.U.: Benchmarking stroke forecasting with stroke-level badminton dataset (2024)","DOI":"10.24963\/ijcai.2024\/1042"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Wang, W., Shuai, H., Chang, K., Peng, W.: Shuttlenet: position-aware fusion of rally progress and player styles for stroke forecasting in badminton. In: AAAI, pp. 4219\u20134227. AAAI Press (2022)","DOI":"10.1609\/aaai.v36i4.20341"}],"container-title":["Lecture Notes in Computer Science","Data Science: Foundations and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-8295-9_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T17:47:40Z","timestamp":1750355260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-8295-9_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819682942","9789819682959"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-8295-9_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"20 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"10 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2025.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}