Improving individual predictions using social networks assortativity. - Dounia Mulders; Cyril de Bodt; Johannes Bjelland; Alex 'Sandy' Pentland; Michel Verleysen; Yves-Alexandre de Montjoye (WSOM, 2017)

Perplexity-free t-SNE and twice Student tt-SNE. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John A. Lee 001 (ESANN, 2018)

Extensive assessment of Barnes-Hut t-SNE. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John A. Lee 001 (ESANN, 2018)

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; André Mouraux; Michel Verleysen (LVA/ICA, 2018)

Linear Periodic Discriminant Analysis of Multidimensional Signals. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; André Mouraux; Michel Verleysen (ICONIP (6), 2018)

Class-aware t-SNE: cat-SNE. - Cyril de Bodt; Dounia Mulders; Daniel López Sánchez; Michel Verleysen; John A. Lee 001 (ESANN, 2019)

Tensor factorization to extract patterns in multimodal EEG data. - Dounia Mulders; Cyril de Bodt; Nicolas Lejeune; John A. Lee 001; André Mouraux; Michel Verleysen (ESANN, 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)

Perplexity-free Parametric t-SNE. - Francesco Crecchi; Cyril de Bodt; Michel Verleysen; John A. Lee 001; Davide Bacciu (ESANN, 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)

Robust and fast neighbor embedding algorithms. - Cyril de Bodt (2020)

Stochastic quartet approach for fast multidimensional scaling. - Pierre Lambert; Cyril de Bodt; Michel Verleysen; John A. Lee 001 (ESANN, 2021)

Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. - Pierre Lambert; John A. Lee 001; Michel Verleysen; Cyril de Bodt (ESANN, 2021)

Globally local and fast explanations of t-SNE-like nonlinear embeddings. - Pierre Lambert; Rebecca Marion; Julien Albert; Emmanuel Jean; Sacha Corbugy; Cyril de Bodt (CIKM Workshops, 2022)

Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. - Daniel López Sánchez; Cyril de Bodt; John A. Lee 001; Angélica González Arrieta; Juan M. Corchado (Appl. Intell., 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 001 (CoRR, 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 001 (Neurocomputing, 2022)

Fast Multiscale Neighbor Embedding. - Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

Fine-tuning is not (always) overfitting artifacts. - Jérémie Bogaert; Emmanuel Jean; Cyril de Bodt; François-Xavier Standaert (ESANN, 2023)

Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection. - Anne-Sophie Collin; Cyril de Bodt; Dounia Mulders; Christophe De Vleeschouwer (ESANN, 2023)

On the number of latent representations in deep neural networks for tabular data. - Edouard Couplet; Pierre Lambert; Michel Verleysen; John A. Lee 001; Cyril de Bodt (ESANN, 2023)

Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. - Pierre Lambert; John A. Lee 001; Edouard Couplet; Cyril de Bodt (ESANN, 2023)

Natively Interpretable t-SNE. - Edouard Couplet; Pierre Lambert; Michel Verleysen; Dounia Mulders; John A. Lee 001; Cyril de Bodt (PKDD/ECML Workshops (1), 2023)

Semi-supervised t-SNE with multi-scale neighborhood preservation. - Walter Serna-Serna; Cyril de Bodt; Andrés Marino Álvarez-Meza; John A. Lee 001; Michel Verleysen; Álvaro-Ángel Orozco-Gutiérrez (Neurocomputing, 2023)

Forget early exaggeration in t-SNE: early hierarchization preserves global structure. - John A. Lee 001; Edouard Couplet; Pierre Lambert; Ludovic Journaux; Dounia Mulders; Cyril de Bodt; Michel Verleysen (ESANN, 2024)

Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. - Pierre Lambert; Edouard Couplet; Cyril de Bodt; John A. Lee 001 (ESANN, 2024)

Investigating latent representations and generalization in deep neural networks for tabular data. - Edouard Couplet; Pierre Lambert; Michel Verleysen; John A. Lee 001; Cyril de Bodt (Neurocomputing, 2024)