Søgeresultater - Linying Ji

Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience af Nicholas A. Coles, Bartosz Perz, Maciej Behnke, Johannes C. Eichstaedt, Soo-Hyung Kim, Tu N. Vu, Chirag Raman, Julián Tejada, Van Thong Huynh, Guangyi Zhang, Tanming Cui, Sharanyak Podder, Rushi Chavda, Shubham Pandey, Arpit Upadhyay, Jorge Iván Padilla Buriticá, Carlos Barrera-Causil, Linying Ji, Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquía-Hernández, Hideaki Uchiyama, Xin Wei, Houwei Cao, Ziqing Yang, Alessia Iancarelli, Kieran McVeigh, Yiyu Wang, Isabel M. Berwian, Jamie C. Chiu, Dan-Mircea Mirea, Erik C. Nook, Henna Vartiainen, Claire Whiting, Young Won Cho, Sy‐Miin Chow, Zachary F. Fisher, Yanling Li, Xiaoyue Xiong, Yuqi Shen, Enzo Tagliazucchi, Leandro A. Bugnon, Raydonal Ospina, Nicolas Bruno, Tomás Ariel D’Amelio, Federico Zamberlán, Luís Roberto Mercado Díaz, Javier O. Pinzón-Arenas, Hugo F. Posada–Quintero, Maneesh Bilalpur, Saurabh Hinduja, Fernando Marmolejo‐Ramos, Shaun Canavan, Liza Jivnani, Stanisław Saganowski