Cătălina Cangea

5 papers and 58 indexed citations i.

Cătălina Cangea is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Cătălina Cangea has authored 5 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Cătălina Cangea’s work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Graph Neural Networks (1 paper). Cătălina Cangea is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Graph Neural Networks (1 paper). Cătălina Cangea collaborates with scholars based in United Kingdom and Canada. Cătălina Cangea's co-authors include Píetro Lió, Cristian Bodnar, Petar Veličković, Arian R. Jamasb, Aaron Courville, Harm de Vries, Eugene Belilovsky, Tom L. Blundell, Graham W. Taylor and B. A. Knyazev and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Methods in molecular biology and Frontiers in Big Data.