Gilles Louppe
University of Liège(BE)Montefiore Hospital(GB)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Neural Networks and Applications, Particle physics theoretical and experimental studies, Machine Learning and Algorithms
Most-Cited Works
- API design for machine learning software: experiences from the scikit-learn project(2013)
- Understanding variable importances in forests of randomized trees(2013)
- → Scikit-learn(2015)674 cited
- → Understanding Random Forests: From Theory to Practice(2014)594 cited
- → Robust EEG-based cross-site and cross-protocol classification of states of consciousness(2018)308 cited
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- → Collaborative analysis of multi-gigapixel imaging data using Cytomine(2016)193 cited
- → Mining gold from implicit models to improve likelihood-free inference(2020)164 cited
- → Constraining Effective Field Theories with Machine Learning(2018)155 cited