Vincent Michel

Scikit-learn: Machine Learning in Python

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...

A supervised clustering approach for fMRI-based inference of brain states

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior during a scanning session. Such...

Mutual information-based feature selection enhances fMRI brain activity classification

A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity

A supervised clustering approach for extracting predictive information from brain activation images

Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity

Publishing Bibliographic Records on the Web of Data: Opportunities for the BnF (French National Library)

Gathering Product Data from Smart Products

Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale

Distributed Simulation and Web Map Mash-Up for Forest Fire Spread

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis