{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:36:29Z","timestamp":1730266589789,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019370","name":"Foundation for Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019370","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650753","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Iterative Stacking Regression for Materials Properties Prediction"],"prefix":"10.1109","author":[{"given":"Jo\u00e3o","family":"Ant\u00f3nio","sequence":"first","affiliation":[{"name":"University of Aveiro,Department of Electronics Telecommunications and Informatics (DETI),Portugal"}]},{"given":"Petia","family":"Georgieva","sequence":"additional","affiliation":[{"name":"Institute of Electronics and Informatics Engineering of Aveiro (IEETA)"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-matsci-070218-010015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1063\/1.4946894"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-018-0337-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-008-0200-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1369-7021(05)71123-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-019-0221-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/npjcompumats.2016.28"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/inf2.12028"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-27344-x"},{"key":"ref10","article-title":"7 of the Most Used Regression Algorithms and How to Choose the Right One","volume-title":"Medium","author":"Polzer","year":"2022"},{"key":"ref11","article-title":"Top 6 Regression Algorithms Used In Data Mining And Their Applications In Industry","volume-title":"Analytics India Magazine","author":"Bhatia","year":"2021"},{"article-title":"Top 4 Regression Algorithms in Scikit-learn","volume-title":"Data Scientist","year":"2023","key":"ref12"},{"article-title":"Best of 8 Regression Models to predict Strength","volume-title":"Kaggle","year":"2018","key":"ref13"},{"year":"2022","key":"ref14","article-title":"Top Machine Learning Algorithms for Regression"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1145\/2939672.2939785","article-title":"Xgboost: A scalable tree boosting system","volume-title":"CoRR","author":"Chen","year":"2016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295070"},{"key":"ref17","article-title":"Catboost: gradient boosting with categorical features support","volume-title":"CoRR","author":"Dorogush","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DSMP.2018.8478522"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462890"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05490-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02827-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/adsu.201800134"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICTON.2013.6602794"},{"key":"ref24","first-page":"117256","article-title":"Quantum yield and brightness","volume-title":"Journal of Luminescence","volume":"224","author":"Wong","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2023.112290"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-54657-x"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650753.pdf?arnumber=10650753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:05:38Z","timestamp":1725948338000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650753\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650753","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}