Olivier Caelen
About
Olivier Caelen has authored 19 papers that have received a total of 1.4k indexed citations.
This includes 17 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Electrical and Electronic Engineering. The topics of these papers are Imbalanced Data Classification Techniques (14 papers), Adaptation to Concept Drift in Data Streams (4 papers) and Machine Learning and Data Classification (4 papers). Olivier Caelen is often cited by papers focused on Imbalanced Data Classification Techniques (14 papers), Adaptation to Concept Drift in Data Streams (4 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in Belgium, France and Germany. Olivier Caelen's co-authors include Gianluca Bontempi, Andrea Dal Pozzolo, Yann‐Aël Le Borgne, Sylvie Calabretto and Liyun He-Guelton and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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