Daniel C. Castro

15 papers and 370 indexed citations i.

Daniel C. Castro has authored 15 papers that have received a total of 370 indexed citations. This includes 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Building and Construction. The topics of these papers are Explainable Artificial Intelligence (XAI) (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning in Healthcare (2 papers). Daniel C. Castro is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning in Healthcare (2 papers) and collaborates with scholars based in United States, United Kingdom and Colombia. Daniel C. Castro's co-authors include Ben Glocker, Ozan Oktay, Anton Schwaighofer, Aditya Nori and Matthew P. Lungren and has published in prestigious journals such as Nature Communications, European Journal of Operational Research and Journal of Machine Learning Research