Mina Ogino

This paper argues for moving beyond performance metrics in ML classification for animal studies and proposes simulations and biological validations to better assess model utility despite noisy data.

The paper shows density increases network connectedness in wild animal populations, but effects saturate, with stronger spatial than social impacts.

This study examines how environmental and social factors influence space use consistency in non-territorial vulturine guineafowl groups.

This study shows that group size affects how vulturine guineafowl adjust their behavior to thermoregulation-foraging trade-offs, with intermediate group sizes showing more flexible use of open areas.

The paper shows that collective intelligence in group-living animals leads to better resource partitioning than solitary animals through frequency-dependent learning.