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SaveUsing machine learning to understand age and gender classification based on infant temperament (vol 17, e0266026, 2022)
Gartstein, Maria A.; Seamon, D. Erich; Mattera, Jennifer A.; Enlow, Michelle Bosquet; Wright, Rosalind J.; Perez-Edgar, Koraly; Buss, Kristin A.; Lobue, Vanessa; Bell, Martha Ann; Goodman, Sherryl H.; Spieker, Susan; Bridgett, David J.; Salisbury, Amy L.; Gunnar, Megan R.; Mliner, Shanna B.; Muzik, Maria; Stifter, Cynthia A.; Planalp, Elizabeth M.; Mehr, Samuel A.; Spelke, Elizabeth S.; Lukowski, Angela F.; Groh, Ashley M.; Lickenbrock, Diane M.; Santelli, Rebecca; Schudlich, Tina Du Rocher; Anzman-Frasca, Stephanie; Thrasher, Catherine; Diaz, Anjolii; Dayton, Carolyn; Moding, Kameron J.; Jordan, Evan M.
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SaveOnline Developmental Science to Foster Innovation, Access, and Impact
Sheskin, Mark; Scott, Kimberly; Mills, Candice M.; Bergelson, Elika; Bonawitz, Elizabeth; Spelke, Elizabeth S.; Fei, Li Fei; Keil, Franck C.; Gweon, Hyowon; Tenenbaum, Joshua B.; Ettinger, Juliana Jara; Adolph, Karen E.; Rhodes, Marjorie; Frank, Michael C.; Mehr, Samuel A.; Schulz, Laura
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