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20062015
most citedImage Transmission Through an Opaque Material

761 citations

Showing 2011Show all

6 papers · 1 filter

cond-mat.mtrl-sci2011133 cited

Interactions between Magnetic Nanowires and Living Cells : Uptake, Toxicity and Degradation

Malak Safi, Minhao Yan, Marie-Alice Guedeau-Boudeville +7

We report on the uptake, toxicity and degradation of magnetic nanowires by NIH/3T3 mouse fibroblasts. Magnetic nanowires of diameters 200 nm and lengths comprised between 1 μm and…

cs.LG2011

Handling uncertainties in SVM classification

Emilie Niaf, Rémi Flamary, Carole Lartizien +1

This paper addresses the pattern classification problem arising when available target data include some uncertainty information. Target data considered here is either qualitative (…

q-bio.QM2011

ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

Fantine Mordelet, Jean-Philippe Vert

Elucidating the genetic basis of human diseases is a central goal of genetics and molecular biology. While traditional linkage analysis and modern high-throughput techniques often…

physics.soc-ph2011233 cited

Dynamical Patterns of Cattle Trade Movements

Paolo Bajardi, Alain Barrat, Fabrizio Natale +2

Despite their importance for the spread of zoonotic diseases, our understanding of the dynamical aspects characterizing the movements of farmed animal populations remains limited a…

cs.CV2011148 cited

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

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux +3

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 sessi…

cs.CV2011140 cited

Total variation regularization for fMRI-based prediction of behaviour

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux +2

While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI (fMR…