Isaac Triguero
About
Isaac Triguero has authored 78 papers that have received a total of 2.8k indexed citations.
This includes 57 papers in Artificial Intelligence, 17 papers in Signal Processing and 16 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (37 papers), Imbalanced Data Classification Techniques (18 papers) and Anomaly Detection Techniques and Applications (11 papers). Isaac Triguero is often cited by papers focused on Machine Learning and Data Classification (37 papers), Imbalanced Data Classification Techniques (18 papers) and Anomaly Detection Techniques and Applications (11 papers) and collaborates with scholars based in Spain, United Kingdom and Belgium. Isaac Triguero's co-authors include Francisco Herrera, Salvador García, José M. Benítez, Daniel Peralta and Mikel Galar and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Expert Systems with Applications and IEEE Access
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