Daniel Urda
About
Daniel Urda has authored 41 papers that have received a total of 866 indexed citations.
This includes 10 papers in Molecular Biology, 9 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. The topics of these papers are Gene expression and cancer classification (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning in Bioinformatics (5 papers). Daniel Urda is often cited by papers focused on Gene expression and cancer classification (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning in Bioinformatics (5 papers) and collaborates with scholars based in Spain, United States and United Kingdom. Daniel Urda's co-authors include Ignacio J. Turias, Juan Jesús Ruíz-Aguilar, J. Andrew Bagnell, Leonardo Franco and José M. Jerez and has published in prestigious journals such as PLoS ONE, Sensors and Biochimica et Biophysica Acta (BBA) - General Subjects
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