Patrice Latinne
About
Patrice Latinne has authored 6 papers that have received a total of 268 indexed citations.
This includes 4 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Imbalanced Data Classification Techniques (2 papers), Advanced Statistical Methods and Models (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Patrice Latinne is often cited by papers focused on Imbalanced Data Classification Techniques (2 papers), Advanced Statistical Methods and Models (2 papers) and Bayesian Modeling and Causal Inference (2 papers) and collaborates with scholars based in Belgium. Patrice Latinne's co-authors include Christine Decaestecker, Marco Saerens, Olivier Debeir, Philippe Van Ham and Brahim Rekiek and has published in prestigious journals such as Neural Computation, International Journal of Production Research and Photogrammetric Engineering & Remote Sensing
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