Search Results - "Damon, Cécilia"

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    Non-negative Tensor Factorization for single-channel EEG artifact rejection by Damon, Cecilia, Liutkus, Antoine, Gramfort, Alexandre, Essid, Slim

    “…New applications of Electroencephalographicrecording (EEG) require light and easy-to-handle equipment involving powerful algorithms of artifact removal. In our…”
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    Conference Proceeding
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    Mutual information-based feature selection enhances fMRI brain activity classification by Michel, V., Damon, C., Thirion, B.

    “…In this paper, we address the question of decoding cognitive information from functional magnetic resonance (MR) images using classification techniques. The…”
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    Conference Proceeding
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    Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data by Luck, Margaux, Bertho, Gildas, Bateson, Mathilde, Karras, Alexandre, Yartseva, Anastasia, Thervet, Eric, Damon, Cecilia, Pallet, Nicolas

    Published in PloS one (18-11-2016)
    “…1H Nuclear Magnetic Resonance (NMR)-based metabolic profiling is very promising for the diagnostic of the stages of chronic kidney disease (CKD). Because of…”
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    Journal Article
  5. 5

    Non-negative matrix factorization for single-channel EEG artifact rejection by Damon, Cecilia, Liutkus, Antoine, Gramfort, Alexandre, Essid, Slim

    “…New applications of Electroencephalographic recording (EEG) pose new challenges in terms of artifact removal. In our work we target applications where the EEG…”
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    Conference Proceeding
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    Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease by Damon, C., Duchesnay, E., Depecker, M.

    “…Multiple kernel learning (MKL) provides flexibility by considering multiple data views and by searching for the best data representation through a combination…”
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    Conference Proceeding
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    Rule-Mining based classification: a benchmark study by Luck, Margaux, Pallet, Nicolas, Damon, Cecilia

    Published 30-06-2017
    “…This study proposed an exhaustive stable/reproducible rule-mining algorithm combined to a classifier to generate both accurate and interpretable models. Our…”
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    Journal Article
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    L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria by Talenti, Luca, Luck, Margaux, Yartseva, Anastasia, Argy, Nicolas, Houzé, Sandrine, Damon, Cecilia

    Published 20-11-2015
    “…Multivariate classification methods using explanatory and predictive models are necessary for characterizing subgroups of patients according to their risk…”
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    Journal Article