David Elizondo
About
David Elizondo has authored 63 papers that have received a total of 1.1k indexed citations.
This includes 38 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Neural Networks and Applications (12 papers), Anomaly Detection Techniques and Applications (7 papers) and COVID-19 diagnosis using AI (7 papers). David Elizondo is often cited by papers focused on Neural Networks and Applications (12 papers), Anomaly Detection Techniques and Applications (7 papers) and COVID-19 diagnosis using AI (7 papers) and collaborates with scholars based in United Kingdom, Spain and France. David Elizondo's co-authors include Saúl Calderón-Ramírez, Shengxiang Yang, Miguel A. Molina‐Cabello, Mohamed Tajine and Ezequiel López‐Rubio and has published in prestigious journals such as Applied Energy, Energy and Expert Systems with Applications
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