{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T17:45:28Z","timestamp":1784915128684,"version":"3.55.0"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen"},{"name":"Deanship of Research and Graduate Studies at King Khalid University"},{"name":"Large Group Project","award":["RGP.2\/568\/45"],"award-info":[{"award-number":["RGP.2\/568\/45"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3561137","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T17:38:02Z","timestamp":1744738682000},"page":"69369-69394","source":"Crossref","is-referenced-by-count":31,"title":["Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning"],"prefix":"10.1109","volume":"13","author":[{"given":"Ghulam","family":"Ghous","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Riphah International University, Islamabad, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2186-2342","authenticated-orcid":false,"given":"Shaheryar","family":"Najam","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Bahria University, Islamabad, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5795-3309","authenticated-orcid":false,"given":"Mohammed","family":"Alshehri","sequence":"additional","affiliation":[{"name":"Department of Computer Science, King Khalid University, Abha, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2984-0612","authenticated-orcid":false,"given":"Abdulmonem","family":"Alshahrani","sequence":"additional","affiliation":[{"name":"Department of Informatics and Computer Systems, King Khalid University, Abha, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yahya","family":"AlQahtani","sequence":"additional","affiliation":[{"name":"Department of Informatics and Computer Systems, King Khalid University, Abha, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8421-8477","authenticated-orcid":false,"given":"Ahmad","family":"Jalal","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and AI, Air University, Islamabad, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6850-9570","authenticated-orcid":false,"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"Cognitive Systems Laboratory, University of Bremen, Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1188799"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72047-5_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1201\/9781032698519-13"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/00207454.2021.1941947"},{"key":"ref5","article-title":"EEG-deformer: A dense convolutional transformer for brain\u2013computer interfaces","author":"Ding","year":"2024","journal-title":"arXiv:2405.00719"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app14178071"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.13759"},{"key":"ref8","article-title":"Complex emotion recognition system using basic emotions via facial expression, EEG, and ECG signals: A review","author":"Joloudari","year":"2024","journal-title":"arXiv:2409.07493"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3277471"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2024.102731"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-17944-9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121692"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.2596"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.35784\/acs-2024-07"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/9781003400387-4"},{"key":"ref16","first-page":"139402","article-title":"Recurrent neural networks: Vanishing and exploding gradients are not the end of the story","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Zucchet"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3297654"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108705"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3329678"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2024.1519970"},{"key":"ref21","article-title":"CIT-EmotionNet: CNN interactive transformer network for EEG emotion recognition","author":"Lu","year":"2023","journal-title":"arXiv:2305.05548"},{"key":"ref22","article-title":"Cross-subject emotion classification based on dual-attention mechanism and meta-transfer learning","volume":"46","author":"Zhang","year":"2024","journal-title":"Proc. Annu. Meet. Cogn. Sci. Soc."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104741"},{"issue":"2","key":"ref24","first-page":"245","article-title":"Advances in emotion recognition for affective computing and mental health: A 2023 review","volume":"14","author":"Liu","year":"2023","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"3","key":"ref25","first-page":"310","article-title":"Adaptive AI systems for real-time sentiment analysis across cultures","volume":"14","author":"Kumar","year":"2023","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"1","key":"ref26","first-page":"111","article-title":"Cross-cultural challenges in EEG-based emotion recognition: An evaluation of SEED, DEAP, DREAMER, and AMIGOS datasets","volume":"23","author":"Chen","year":"2024","journal-title":"Sensors"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCS51430.2021.9441999"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-024-19392-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/sym15101822"},{"key":"ref30","volume-title":"Enhanced speech emotion recognition using MFCC features and convolutional neural networks","author":"Gollapalli","year":"2024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-025-11126-9"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fbuil.2024.1343398"},{"key":"ref33","article-title":"Analysis of EEG based emotion detection of DEAP and SEED-IV databases using SVM","volume-title":"Proc. 2nd Int. Conf. Emerging Trends Sci. Technol. Eng. Syst. (ICETSE-2019)","author":"Thejaswini"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/s23125680"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108573"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107536"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2023.168814"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.watres.2022.119100"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104141"},{"key":"ref40","first-page":"1","article-title":"EEG-based emotion recognition via convolutional transformer with class confusion-aware attention","volume-title":"Proc. Annu. Meeting Cogn. Sci. Soc.","volume":"46","author":"Pan"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci14080817"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13050977"},{"key":"ref43","article-title":"EEG-based multimodal representation learning for emotion recognition","author":"Yin","year":"2024","journal-title":"arXiv:2411.00822"},{"key":"ref44","first-page":"1","article-title":"FLER-Net: Federated learning for emotion recognition using EEG signals and dense neural networks","volume":"2023","author":"Anwar","year":"2023","journal-title":"SSRN J."},{"key":"ref45","article-title":"CascadedGaze: Efficiency in global context extraction for image restoration","author":"Ghasemabadi","year":"2024","journal-title":"arXiv:2401.15235"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.mex.2024.102946"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107380"},{"key":"ref48","article-title":"Spatio-temporal deep learning for mental state recognition in brain\u2013computer interfaces","author":"Sartipi","year":"2024"},{"key":"ref49","article-title":"A survey on state-of-the-art deep learning applications and challenges","author":"Noor","year":"2024","journal-title":"arXiv:2403.17561"},{"key":"ref50","article-title":"A survey of spatio-temporal EEG data analysis: From models to applications","author":"Wang","year":"2024","journal-title":"arXiv:2410.08224"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107643"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2023.1289816"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2024.3510097"},{"issue":"2","key":"ref54","first-page":"16","article-title":"Improving the cross-domain classification of short text using the deep transfer learning framework","volume":"16","author":"Rad","year":"2024","journal-title":"J. Inf. Technol. Manage."},{"key":"ref55","article-title":"M3D: Manifold-based domain adaptation with dynamic distribution for non-deep transfer learning in cross-subject and cross-session EEG-based emotion recognition","author":"Luo","year":"2024","journal-title":"arXiv:2404.15615"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108445"},{"key":"ref57","first-page":"1","article-title":"Cross-subject emotion classification based on dual-attention mechanism and meta-transfer learning","volume-title":"Proc. 46th Annu. Meeting Cognitive Sci. Soc.","author":"Zhang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e08768"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1049\/cth2.12727"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.18280\/mmep.110713"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2024.112199"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.17488\/rmib.45.2.1"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2024.105570"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-022-06296-4"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e37965"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2023.129229"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3302938"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207625"},{"key":"ref70","article-title":"CLDTA: Contrastive learning based on diagonal transformer autoencoder for cross-dataset EEG emotion recognition","author":"Liao","year":"2024","journal-title":"arXiv:2406.08081"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12174"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3236434"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126262"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci14030271"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3175538"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3163141"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871720"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2022.3170428"},{"key":"ref79","first-page":"1122","article-title":"Progressive graph convolution network for EEG emotion recognition","volume-title":"Proc. 29th ACM Int. Conf. Multimedia (MM)","author":"Zhou"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121198"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10965678.pdf?arnumber=10965678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T05:11:05Z","timestamp":1745644265000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10965678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3561137","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}