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ORCIDSylvain Lespinats
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Journal Articles
- 2022
[j7]Benoît Colange
, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh:
MING: An interpretative support method for visual exploration of multidimensional data. Inf. Vis. 21(3): 246-269 (2022)- 2015
- [j6]Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese:
ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. Int. J. Pattern Recognit. Artif. Intell. 29(6): 1551008:1-1551008:45 (2015) - 2012
- [j5]Anke Meyer-Baese, Sylvain Lespinats, Juan Manuel Górriz Sáez, Olivier Bastien:
Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine. Adv. Artif. Neural Syst. 2012: 219860:1-219860:2 (2012) - 2011
- [j4]Sylvain Lespinats, Michaël Aupetit:
CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. Comput. Graph. Forum 30(1): 113-125 (2011) - 2009
- [j3]Sylvain Lespinats, Bernard Fertil, Pierre Villemain, Jeanny Hérault:
RankVisu: Mapping from the neighborhood network. Neurocomputing 72(13-15): 2964-2978 (2009) - 2007
- [j2]Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil:
DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. IEEE Trans. Neural Networks 18(5): 1265-1279 (2007) - 2005
- [j1]Bernard Fertil, Matthieu Massin, Sylvain Lespinats, Caroline Devic, Philippe Dumee, Alain Giron:
GENSTYLE: exploration and analysis of DNA sequences with genomic signature. Nucleic Acids Res. 33(Web-Server-Issue): 512-515 (2005)
Conference and Workshop Papers
- 2022
- [c8]Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh:
Supervised dimensionality reduction technique accounting for soft classes. ESANN 2022 - 2020
- [c7]Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats:
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. NeurIPS 2020 - 2019
- [c6]Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh:
Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs. IEEE VIS (Short Papers) 2019: 211-215 - 2013
- [c5]Sylvain Lespinats, Michaël Aupetit:
ClassiMap: a Supervised Mapping Technique for Decision Support. VAMP@EuroVis 2013 - 2010
- [c4]Sylvain Lespinats, Michaël Aupetit:
Mapping without visualizing local default is nonsense. ESANN 2010 - [c3]Anke Meyer-Bäse, Sylvain Lespinats, Ingo R. Keck, Elmar Wolfgang Lang:
Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. IJCNN 2010: 1-5 - 2009
- [c2]Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer:
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. IJCNN 2009: 1764-1770 - 2008
- [c1]Nicolas S. Müller, Sylvain Lespinats, Gilbert Ritschard, Matthias Studer, Alexis Gabadinho:
Visualisation et classification des parcours de vie. EGC 2008: 499-510
Informal and Other Publications
- 2019
- [i2]Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh:
Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs. CoRR abs/1909.12902 (2019) - 2012
- [i1]Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit:
A new supervised non-linear mapping. CoRR abs/1203.2021 (2012)
Coauthor Index
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