{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T08:09:02Z","timestamp":1771402142254,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T00:00:00Z","timestamp":1757808000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T00:00:00Z","timestamp":1757808000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,14]]},"DOI":"10.1109\/icipw68931.2025.11386108","type":"proceedings-article","created":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T21:05:43Z","timestamp":1771362343000},"page":"368-373","source":"Crossref","is-referenced-by-count":0,"title":["Mxb: Multi-Stage Xgboost For Efficient Tree-Based Gradient Boosting"],"prefix":"10.1109","author":[{"given":"Haiyi","family":"Li","sequence":"first","affiliation":[{"name":"University of Southern California,Los Angeles,USA"}]},{"given":"Qi","family":"Cao","sequence":"additional","affiliation":[{"name":"University of Southern California,Los Angeles,USA"}]},{"given":"C.-C.","family":"Jay Kuo","sequence":"additional","affiliation":[{"name":"University of Southern California,Los Angeles,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.01077"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2019.2911071"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2818678"},{"key":"ref5","article-title":"Tree boosting with xgboost-why does xgboost win\u201d every\u201c machine learning competition?","author":"Nielsen","year":"2016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103685"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1561\/116.20240009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3521704"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222337"},{"issue":"2","key":"ref10","first-page":"159","article-title":"The accuracy of xgboost for insurance claim prediction","volume":"10","author":"Fauzan","year":"2018","journal-title":"Int. J. Adv. Soft Comput. Appl"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2021.126382"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/10494820.2021.1928235"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR62202.2024.00020"},{"key":"ref14","article-title":"Gift: A green image forgery tracker","author":"Chen","year":"2024","journal-title":"C. Jay, Gift: A Green Image Forgery Tracker"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1561\/116.00000136"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2025.3534118"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2023.103925"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1561\/116.00000016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386982"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825985"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv preprint arXiv:1708.07747"}],"event":{"name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","location":"Anchorage, AK, USA","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["2025 IEEE International Conference on Image Processing Workshops (ICIPW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11385856\/11385840\/11386108.pdf?arnumber=11386108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T07:13:09Z","timestamp":1771398789000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11386108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,14]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icipw68931.2025.11386108","relation":{},"subject":[],"published":{"date-parts":[[2025,9,14]]}}}