| 2026 | ESANN | Fairness in machine learning: A Compact Survey. | Jeremy de Bodt, Dounia Mulders, Cyril de Bodt, John A. Lee, Marco Saerens |
| 2026 | ESANN | Interpretable Parametric Neighbour Embedding. | Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2026 | ESANN | Multi-Scale Stochastic Neighbor Embedding with Twice Adaptive Bandwidths. | John A. Lee, Pierre Lambert, Edouard Couplet, Pierre Merveille, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2026 | ESANN | Fast denoising of low-count Monte Carlo proton therapy dose distributions with ResUNet. | Pierre Merveille, Ana Maria Barragn-Montero, Kevin Souris, John A. Lee |
| 2026 | ESANN | Towards meaningful evaluation of uncertainty-aware segmentation workflows for medical applications. | Dany Rimez, John A. Lee, Ana Maria Barragn-Montero |
| 2025 | ESANN | Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance? | John A. Lee, Pierre Lambert, Edouard Couplet, Pierre Merveille, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2024 | ESANN | Forget early exaggeration in t-SNE: early hierarchization preserves global structure. | John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen |
| 2024 | ESANN | 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 |
| 2024 | ESANN | SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation. | Chuxin Zhang, Ana Maria Barragn-Montero, John A. Lee |
| 2023 | ESANN | Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. | Ana Maria Barragn-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee |
| 2023 | ESANN | On the number of latent representations in deep neural networks for tabular data. | Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2023 | ESANN | Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. | Pierre Lambert, John A. Lee, Edouard Couplet, Cyril de Bodt |
| 2022 | ESANN | Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine. | Thomas Villmann, Jonas S. Almeida, John A. Lee, Susana Vinga |
| 2021 | ESANN | Stochastic quartet approach for fast multidimensional scaling. | Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee |
| 2021 | ESANN | Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. | Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt |
| 2021 | ESANN | Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. | John A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragn-Montero |
| 2020 | ESANN | Perplexity-free Parametric t-SNE. | Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu |
| 2020 | ESANN | Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. | Paul Smyth, John A. Lee, Gal de Lannoy, Thomas Beznik |
| 2019 | ESANN | Class-aware t-SNE: cat-SNE. | Cyril de Bodt, Dounia Mulders, Daniel Lpez Snchez, Michel Verleysen, John A. Lee |
| 2019 | ESANN | Tensor factorization to extract patterns in multimodal EEG data. | Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, Andr Mouraux, Michel Verleysen |
| 2018 | ACIVS | Multi-organ Segmentation of Chest CT Images in Radiation Oncology: Comparison of Standard and Dilated UNet. | Umair Javaid, Damien Dasnoy, John A. Lee |
| 2018 | ACIVS | Contour Propagation in CT Scans with Convolutional Neural Networks. | Jean Lger, Eliott Brion, Umair Javaid, John A. Lee, Christophe De Vleeschouwer, Benot Macq |
| 2018 | ESANN | Perplexity-free t-SNE and twice Student tt-SNE. | Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | ESANN | Extensive assessment of Barnes-Hut t-SNE. | Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | ESANN | Information visualisation and machine learning: latest trends towards convergence. | Benot Frnay, Bruno Dumas, John A. Lee |
| 2018 | ESANN | Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs). | Umair Javaid, John A. Lee |