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8 papers · 1 filter
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data
Pascal Lu, Olivier Colliot
In this paper, we propose a framework for automatic classification of patients from multimodal genetic and brain imaging data by optimally combining them. Additive models with unad…
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier +4
We introduce a mixed-effects model to learn spatiotempo-ral patterns on a network by considering longitudinal measures distributed on a fixed graph. The data come from repeated obs…
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease
Jorge Samper-González, Ninon Burgos, Sabrina Fontanella +5
In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and…
Network-Guided Biomarker Discovery
Chloé-Agathe Azencott
Identifying measurable genetic indicators (or biomarkers) of a specific condition of a biological system is a key element of precision medicine. Indeed it allows to tailor diagnost…
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data
Kévin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras +1
Microbial identification is a central issue in microbiology, in particular in the fields of infectious diseases diagnosis and industrial quality control. The concept of species is…
Improving accuracy and power with transfer learning using a meta-analytic database
Yannick Schwartz, Gaël Varoquaux, Christophe Pallier +3
Typical cohorts in brain imaging studies are not large enough for systematic testing of all the information contained in the images. To build testable working hypotheses, investiga…