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2010 – 2019
- 2017
[i2]Margaux Luck, Nicolas Pallet, Cécilia Damon:
Rule-Mining based classification: a benchmark study. CoRR abs/1706.10199 (2017)- 2015
- [c6]Margaux Luck, Anastasia Yartseva, Gildas Bertho
, Eric Thervet, Philippe Beaune, Nicolas Pallet, Cécilia Damon:
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling. ICMLA 2015: 176-181 - [i1]Luca Talenti, Margaux Luck, Anastasia Yartseva, Nicolas Argy, Sandrine Houzé, Cécilia Damon:
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria. CoRR abs/1511.06663 (2015) - 2013
- [c5]Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid:
Non-negative matrix factorization for single-channel EEG artifact rejection. ICASSP 2013: 1177-1181 - [c4]Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid:
Non-negative Tensor Factorization for single-channel EEG artifact rejection. MLSP 2013: 1-6 - 2012
- [c3]Pierrick Bruneau, Laurence Boudet, Cécilia Damon:
Neural Architectures for Global Solar Irradiation and Air Temperature Prediction. ICANN (2) 2012: 548-556 - 2011
- [c2]Cécilia Damon, Edouard Duchesnay, Marine Depecker:
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. ICMLA (2) 2011: 384-387
2000 – 2009
- 2008
- [c1]Vincent Michel, Cécilia Damon, Bertrand Thirion:
Mutual information-based feature selection enhances fMRI brain activity classification. ISBI 2008: 592-595
Coauthor Index
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