Sylvain Lespinats

According to our database, Sylvain Lespinats authored at least 16 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

MING: An interpretative support method for visual exploration of multidimensional data.

Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh

Inf. Vis., 2022

Supervised dimensionality reduction technique accounting for soft classes.

Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction.

Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs.

Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh

Proceedings of the 30th IEEE Visualization Conference, 2019

2015

ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data.

Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese

Int. J. Pattern Recognit. Artif. Intell., 2015

2013

ClassiMap: a Supervised Mapping Technique for Decision Support.

Sylvain Lespinats, Michaël Aupetit

Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

2012

A new supervised non-linear mapping

Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit

CoRR, 2012

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine.

Anke Meyer-Baese, Sylvain Lespinats, Juan Manuel Górriz Sáez, Olivier Bastien

Adv. Artif. Neural Syst., 2012

2011

CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings.

Sylvain Lespinats, Michaël Aupetit

Comput. Graph. Forum, 2011

2010

Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties.

Anke Meyer-Bäse, Sylvain Lespinats, Ingo R. Keck, Elmar Wolfgang Lang

Proceedings of the International Joint Conference on Neural Networks, 2010

Mapping without visualizing local default is nonsense.

Sylvain Lespinats, Michaël Aupetit

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

RankVisu: Mapping from the neighborhood network.

Sylvain Lespinats, Bernard Fertil, Pierre Villemain, Jeanny Hérault

Neurocomputing, 2009

Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods.

Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Visualisation et classification des parcours de vie.

Nicolas S. Müller, Sylvain Lespinats, Gilbert Ritschard, Matthias Studer, Alexis Gabadinho

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data.

Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil

IEEE Trans. Neural Networks, 2007

2005

GENSTYLE: exploration and analysis of DNA sequences with genomic signature.

Bernard Fertil, Matthieu Massin, Sylvain Lespinats, Caroline Devic, Philippe Dumee, Alain Giron

Nucleic Acids Res., 2005