Meelis Kull
About
Meelis Kull has authored 19 papers that have received a total of 1.2k indexed citations.
This includes 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Imbalanced Data Classification Techniques (3 papers). Meelis Kull is often cited by papers focused on Machine Learning and Data Classification (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Imbalanced Data Classification Techniques (3 papers) and collaborates with scholars based in Estonia, United Kingdom and France. Meelis Kull's co-authors include Peter Flach, Jaak Vilo, Hedi Peterson, Nicolas Lachiche and Telmo M. Silva Filho and has published in prestigious journals such as Nucleic Acids Research, Genome biology and Analytica Chimica Acta
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