{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T17:39:24Z","timestamp":1787161164809,"version":"build-2736575974"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tcss.2025.3540035","type":"journal-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T15:35:42Z","timestamp":1740065742000},"page":"2833-2847","source":"Crossref","is-referenced-by-count":3,"title":["Stock Market Prediction Using a Hybrid Approach With Boruta and Liquid Neural Network"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7071-2513","authenticated-orcid":false,"given":"G. Joshita","family":"Reddy","sequence":"first","affiliation":[{"name":"Department of Computer Science, Vellore Institute of Technology, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1106-1293","authenticated-orcid":false,"given":"Rahul Kumar","family":"Sahani","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Vellore Institute of Technology, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7216-2207","authenticated-orcid":false,"given":"S. P.","family":"Raja","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Vellore Institute of Technology, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3182375"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICMSE.2012.6414430"},{"key":"ref3","article-title":"Predicting stock market liquidity using neural networks","author":"Uhle","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-023-01506-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-82017-6_12"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109876"},{"key":"ref7","article-title":"Dynamic explanation selection towards successful user-decision support with explainable AI","author":"Fukuchi","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/app12031427"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2228-y"},{"key":"ref10","first-page":"883","article-title":"Learning to explain: An information-theoretic perspective on model interpretation","author":"Chen","year":"2018","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/systems12050143"},{"key":"ref12","first-page":"34","article-title":"Machine learning based explainable financial forecasting","volume-title":"Proc. 4th Int. Conf. Comput. Commun. Internet (ICCCI)","author":"Agarwal","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.340"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16936"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111365"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2285-3_58"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116659"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9903518"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00495-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/569\/5\/052037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4839066"},{"key":"ref23","article-title":"Variance of twitter embeddings and temporal trends of covid-19 cases","author":"Sethi","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2018.08.003"},{"key":"ref25","first-page":"5246","article-title":"Stock price prediction using LSTM","volume":"83","author":"Pramod","year":"2021","journal-title":"Test Eng. Manage."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2021.1940101"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60042-0_22"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/AISP61396.2024.10475263"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/app10082788"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109830"},{"issue":"3","key":"ref31","first-page":"213","article-title":"Stock market forecasting with different input indicators using machine learning and deep learning techniques. A review","volume":"31","author":"Verma","year":"2023","journal-title":"Eng. Lett."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.58729\/1941-6679.1435"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/23080477.2019.1605474"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1186\/s40854-019-0138-0"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICIINFS.2017.8300345"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s13198-022-01811-1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00354-020-00104-0"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11203414"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2024.0150173"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/app9245574"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IS3C.2018.00012"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1186\/s40854-021-00243-3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/economies10050102"},{"key":"ref44","article-title":"Stock market forecasting using recurrent neural network","author":"Gao","year":"2016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.adc8892"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICRITO.2016.7785019"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/0013791X.2024.2328526"},{"key":"ref48","article-title":"Business Finance Stock Market News","year":"2024"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6570650\/11194048\/10896773.pdf?arnumber=10896773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T05:23:27Z","timestamp":1759814607000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10896773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":48,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2025.3540035","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}