no code implementations • 23 Apr 2024 • Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
Deep learning methods are increasingly becoming instrumental as modeling tools in computational neuroscience, employing optimality principles to build bridges between neural responses and perception or behavior.
1 code implementation • 1 Sep 2023 • Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
It has recently been shown that deep learning models for anatomical segmentation in medical images can exhibit biases against certain sub-populations defined in terms of protected attributes like sex or ethnicity.
no code implementations • 9 May 2023 • María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
In recent years the development of artificial intelligence (AI) systems for automated medical image analysis has gained enormous momentum.
1 code implementation • ICCV 2021 • Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
In real-life applications, machine learning models often face scenarios where there is a change in data distribution between training and test domains.
no code implementations • 8 Jun 2021 • Rodrigo Echeveste, Enzo Ferrante, Diego H. Milone, Inés Samengo
Theories for autism spectrum disorder (ASD) have been formulated at different levels: ranging from physiological observations to perceptual and behavioral descriptions.
no code implementations • 2 Oct 2014 • Rodrigo Echeveste, Claudius Gros
This self-limiting behavior allows for stable online learning for arbitrary durations.