Arantxa Casanova

3 papers and 1.3k indexed citations i.

Arantxa Casanova is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Arantxa Casanova has authored 3 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Arantxa Casanova’s work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Advanced Graph Neural Networks (1 paper). Arantxa Casanova is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Advanced Graph Neural Networks (1 paper). Arantxa Casanova collaborates with scholars based in Israel, Canada and Italy. Arantxa Casanova's co-authors include Yoshua Bengio, Guillem Cucurull, Adriana Romero, Píetro Lió, Petar Veličković, Michal Drozdzal, Pedro O. Pinheiro, Negar Rostamzadeh and Christopher Pal and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).