Cyril de Bodt

According to our database, Cyril de Bodt authored at least 19 papers between 2017 and 2023.

Collaborative distances:

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

2023

Semi-supervised <i>t</i>-SNE with multi-scale neighborhood preservation.

Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez

Neurocomputing, 2023

2022

Fast Multiscale Neighbor Embedding.

Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee

IEEE Trans. Neural Networks Learn. Syst., 2022

SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like <i>t</i>-SNE and UMAP.

Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee

Neurocomputing, 2022

SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP.

Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee

CoRR, 2022

Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data.

Daniel López Sánchez, Cyril de Bodt, John A. Lee, Angélica González Arrieta, Juan M. Corchado

Appl. Intell., 2022

Globally local and fast explanations of t-SNE-like nonlinear embeddings.

Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding.

Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Stochastic quartet approach for fast multidimensional scaling.

Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Robust and fast neighbor embedding algorithms.

Cyril de Bodt

PhD thesis, 2020

Inference of node attributes from social network assortativity.

Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye

Neural Comput. Appl., 2020

Perplexity-free Parametric t-SNE.

Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations.

Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee

IEEE Trans. Neural Networks Learn. Syst., 2019

Tensor factorization to extract patterns in multimodal EEG data.

Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Class-aware t-SNE: cat-SNE.

Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Linear Periodic Discriminant Analysis of Multidimensional Signals.

Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns.

Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Extensive assessment of Barnes-Hut t-SNE.

Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Perplexity-free t-SNE and twice Student tt-SNE.

Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Improving individual predictions using social networks assortativity.

Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017