Wannes Meert
About
Wannes Meert has authored 52 papers that have received a total of 1.2k indexed citations.
This includes 30 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (16 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Algorithms (6 papers). Wannes Meert is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Algorithms (6 papers) and collaborates with scholars based in Belgium, United States and South Africa. Wannes Meert's co-authors include Jesse Davis, Guy Van den Broeck, Sofie Pollin, Marian Verhelst and Sreeraj Rajendran and has published in prestigious journals such as PLoS ONE, IEEE Access and Artificial Intelligence
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