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GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion.

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Title: GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion.
Authors: Khan, Muhammad Umar1, umar.khan@canberra.edu.au, Chetty, Girija1, girija.chetty@canberra.edu.au, Gkikas, Stefanos2, gikasstefanos@gmail.com, Tsiknakis, Manolis3, tsiknakis@ics.forth.gr, Goecke, Roland4, roland.goecke@ieee.org, Fernandez-Rojas, Raul1, raul.fernandezrojas@canberra.edu.au
Source: Information Fusion; Jul2026, Vol. 131, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191706610
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.inffus.2026.104173
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      – Code: eng
        Text: English
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      – TitleFull: GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion.
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            NameFull: Khan, Muhammad Umar
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 131
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