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Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience.
Coles NA, Perz B, Behnke M, Eichstaedt JC, Kim SH, Vu TN, Raman C, Tejada J, Huynh VT, Zhang G, Cui T, Podder S, Chavda R, Pandey S, Upadhyay A, Padilla-Buritica JI, Barrera Causil CJ, Ji L, Dollack F, Kiyokawa K, Liu H, Perusquia-Hernandez M, Uchiyama H, Wei X, Cao H, Yang Z, Iancarelli A, McVeigh K, Wang Y, Berwian IM, Chiu JC, Mirea DM, Nook EC, Vartiainen HI, Whiting C, Cho YW, Chow SM, Fisher ZF, Li Y, Xiong X, Shen Y, Tagliazucchi E, Bugnon LA, Ospina R, Bruno NM, D'Amelio TA, Zamberlan F, Mercado Diaz LR, Pinzon-Arenas JO, Posada-Quintero HF, Bilalpur M, Hinduja S, Marmolejo-Ramos F, Canavan S, Jivnani L, Saganowski S. Coles NA, et al. Among authors: xiong x. R Soc Open Sci. 2025 Jun 25;12(6):241778. doi: 10.1098/rsos.241778. eCollection 2025 Jun. R Soc Open Sci. 2025. PMID: 40568544 Free PMC article.
6,169 results