{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T06:04:32Z","timestamp":1750831472367,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671650","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"5664-5671","source":"Crossref","is-referenced-by-count":13,"title":["Predicting Victories in Video Games - IEEE BigData 2021 Cup Report"],"prefix":"10.1109","author":[{"given":"Maciej","family":"Matraszek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrzej","family":"Janusz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maciej","family":"Swiechowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Slezak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1126\/science.aar6404"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TCIAIG.2010.2067212"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/ICDMW.2018.00074"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/2939672.2939785"},{"year":"2019","author":"berner","article-title":"Dota 2 with large scale deep reinforcement learning","key":"ref14"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/BigData52589.2021.9671688"},{"key":"ref16","first-page":"3149","article-title":"LightGBM: A Highly Efficient Gradient Boosting Decision Tree","author":"ke","year":"0"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/BigData52589.2021.9671285"},{"key":"ref18","article-title":"Predicting Victories in Video Games: Using Single XGBoost with Feature Engineering","author":"tseng","year":"2021","journal-title":"2021 IEEE International Conference on Big Data BigData 2021 USA December 15-18 2021"},{"year":"2019","author":"roelofs","journal-title":"A Meta-Analysis of Overfitting in Machine Learning","key":"ref19"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/978-3-642-39241-2_60"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/WI.2018.00010"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1007\/978-3-319-27992-3_2"},{"year":"2021","author":"?wiechowski","article-title":"Monte Carlo Tree Search: A Review of Recent Modifications and Applications","key":"ref5"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1109\/SSCI50451.2021.9660170","article-title":"Combining Utility AI and MCTS Towards Creating Intelligent Agents in Video Games, with the Use Case of Tactical Troops: Anthracite Shift","author":"?wiechowski","year":"2021","journal-title":"2021 IEEE Symposium on Computational Intelligence for Human-like Intelligence (SSCI CIHLI)"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/2908812.2908913"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/WI.2018.00012"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/s10994-006-8919-x"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.artint.2011.03.007"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.3233\/IDA-2012-0550"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671650.pdf?arnumber=9671650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T22:05:13Z","timestamp":1674425113000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671650\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671650","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}