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2010 – 2019
- 2019
[b1]Emilie Renard:
Extracting information from multiple datasets by matrix factorization and common subspace computation. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2019- [c7]Emilie Renard, Pierre-Antoine Absil, Kyle A. Gallivan:
Minimax center to extract a common subspace from multiple datasets. ESANN 2019 - 2018
- [c6]Emilie Renard, Kyle A. Gallivan, Pierre-Antoine Absil:
A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction. LVA/ICA 2018: 69-78 - 2017
- [c5]Emilie Renard, Pierre-Antoine Absil:
Comparison of location-scale and matrix factorization batch effect removal methods on gene expression datasets. BIBM 2017: 1530-1537 - 2016
- [c4]Emilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil:
Spatiotemporal ICA improves the selection of differentially expressed genes. ESANN 2016 - [c3]Emilie Renard, Samuel Branders, Pierre-Antoine Absil:
Independent Component Analysis to Remove Batch Effects from Merged Microarray Datasets. WABI 2016: 281-292 - 2014
- [c2]Emilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil:
Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis. ESANN 2014 - 2013
- [j1]John Aldo Lee
, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen:
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing 112: 92-108 (2013) - [c1]Emilie Renard, Pierre Dupont, Michel Verleysen:
User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. VAMP@EuroVis 2013
Coauthor Index
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