, February 2025 — Testing the equivalency of human ’predators’ and deep neural networks in the detection of cryptic moths, Tester l’équivalence des "prédateurs" humains et des réseaux neuronaux profonds dans la détection des papillons nocturnes cryptiques. Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the effects of perceptual… Journal of Evolutionary Biology vol. 38, n° 2, p. 214-224 Accession Number: 39589804 ISBN: 1010-061X Publisher: Wiley Type: 10.1093/jeb/voae146
, 2025 — Testing the equivalency of human ’predators’ and deep neural networks in the detection of cryptic moths. Journal of Evolutionary Biology vol. 38, n° 2, p. 214-224 Publisher: Wiley tex.hal_id: hal-04785814 tex.hal_version: v1