{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T05:58:55Z","timestamp":1775627935128,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,3]]},"DOI":"10.1109\/icmla66185.2025.00206","type":"proceedings-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T19:54:58Z","timestamp":1775591698000},"page":"1346-1353","source":"Crossref","is-referenced-by-count":0,"title":["A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion"],"prefix":"10.1109","author":[{"given":"Ziba","family":"Khani","sequence":"first","affiliation":[{"name":"Georgia State University,Department of Computer Science,Atlanta,GA,USA"}]},{"given":"Reza","family":"Mansouri","sequence":"additional","affiliation":[{"name":"Georgia State University,Department of Computer Science,Atlanta,GA,USA"}]},{"given":"Rafal A.","family":"Angryk","sequence":"additional","affiliation":[{"name":"Georgia State University,Department of Computer Science,Atlanta,GA,USA"}]},{"given":"Berkay","family":"Aydin","sequence":"additional","affiliation":[{"name":"Georgia State University,Department of Computer Science,Atlanta,GA,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3678717.3691210"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11214-010-9701-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/abfafb"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2025.112385"},{"key":"ref5","first-page":"423","article-title":"Multimodal machine learning: A survey and taxonomy","volume-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence","volume":"41","author":"Baltruaitis","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3044470"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/aab9a7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/aaae00"},{"issue":"1","key":"ref9","article-title":"Exploring solar granulation: from imax\/sunrise to dkist","volume-title":"The International FLAIRS Conference Proceedings","volume":"38","author":"Mansouri"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/aaed40"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/ab6d04"},{"key":"ref14","first-page":"1","article-title":"Title of the paper","volume":"1","author":"Wang","year":"2020","journal-title":"Journal Name"},{"key":"ref15","article-title":"Improved and interpretable solar flare predictions with pil topological features","author":"Sun","year":"2021","journal-title":"Astrophysical Journal"},{"key":"ref16","article-title":"Flare forecasting algorithms based on high-gradient pils","author":"Cicogna","year":"2021","journal-title":"Astronomy and Astrophysics"},{"key":"ref17","article-title":"Multimodal flare forecasting with deep learning","author":"Francisco","year":"2024"},{"key":"ref18","article-title":"A Systematic Magnetic Polarity Inversion Lines Dataset from SDO and HMI Magnetograms","author":"Khani","year":"2022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4365\/acb43a"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0548-x"},{"key":"ref21","article-title":"Variational recurrent auto-encoders","author":"Fabius","year":"2015"},{"key":"ref22","first-page":"142","article-title":"A time series forest for classification and feature extraction","volume-title":"Information Sciences","volume":"239","author":"Deng","year":"2013"},{"key":"ref23","article-title":"Multivariate time series classification with WEASEL+MUSE","volume-title":"CoRR","author":"Sch\u00e4fer","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-09037-0_53"},{"key":"ref25","article-title":"Ridge regression: Structure, cross-validation, and sketching","author":"Liu","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1115"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1209"},{"key":"ref28","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"CoRR","author":"Paszke","year":"2019"},{"key":"ref29","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"}],"event":{"name":"2025 International Conference on Machine Learning and Applications (ICMLA)","location":"Boca Raton, FL, USA","start":{"date-parts":[[2025,12,3]]},"end":{"date-parts":[[2025,12,5]]}},"container-title":["2025 International Conference on Machine Learning and Applications (ICMLA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11471302\/11471304\/11471397.pdf?arnumber=11471397","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T05:19:24Z","timestamp":1775625564000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11471397\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icmla66185.2025.00206","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]}}}