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FusionLSTM-CNF: a confidence-calibrated multi-modal late fusion framework for robust stock movement prediction under uncertainty.

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Title: FusionLSTM-CNF: a confidence-calibrated multi-modal late fusion framework for robust stock movement prediction under uncertainty.
Authors: Wang TW; Institute for Advanced Studies (IAS), Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia. wangtianwen522@gmail.com., Shaikh ZA; Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan.; School of Engineering, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland., Yong SL; Department of Economics, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia., Elmannai H; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, 11671, Riyadh, Saudi Arabia., Por LY; Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia. porlip@um.edu.my.
Source: Scientific reports [Sci Rep] 2026 Apr 09; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+TW%22">Wang TW</searchLink>; Institute for Advanced Studies (IAS), Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia. wangtianwen522@gmail.com.<br /><searchLink fieldCode="AU" term="%22Shaikh+ZA%22">Shaikh ZA</searchLink>; Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan.; School of Engineering, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Yong+SL%22">Yong SL</searchLink>; Department of Economics, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.<br /><searchLink fieldCode="AU" term="%22Elmannai+H%22">Elmannai H</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, 11671, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Por+LY%22">Por LY</searchLink>; Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia. porlip@um.edu.my.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Apr 09; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Apr 09.
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        Value: 10.1038/s41598-026-43381-3
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