Evaluating machine learning models and their diagnostic value Measuring mental health with machine learning and brain imaging Machine learning with missing values Dirty data science machine learning on non-curated data Representation learning in limited-data settings Better neuroimaging data processing: driven by evidence, open communities, and careful engineering Functional-connectome biomarkers to meet clinical needs? Atlases of cognition with large-scale human brain mapping Similarity encoding for learning on dirty categorical variables Machine learning for functional connectomes Towards psychoinformatics with machine learning and brain imaging Simple representations for learning: factorizations and similarities A tutorial on Machine Learning, with illustrations for MR imaging Scikit-learn and nilearn: Democratisation of machine learning for brain imaging Inria
Paris Area, France France
Researcher at INRIA
