Jessa Bekker
About
Jessa Bekker has authored 8 papers that have received a total of 178 indexed citations.
This includes 6 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (3 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers). Jessa Bekker is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers) and collaborates with scholars based in Belgium and United States. Jessa Bekker's co-authors include Jesse Davis, Guy Van den Broeck, Adnan Darwiche, Pieter Smet and Hendrik Blockeel and has published in prestigious journals such as IEEE Transactions on Smart Grid, Machine Learning and Computers & Industrial Engineering
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