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Cyril de Bodt
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2020 – today
- 2024
- [j7]Edouard Couplet, Pierre Lambert
, Michel Verleysen, John A. Lee, Cyril de Bodt
Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing 597: 127967 (2024) - 2023
- [j6]Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez
Semi-supervised t-SNE with multi-scale neighborhood preservation. Neurocomputing 550: 126496 (2023) - [c15]Jérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert:
Fine-tuning is not (always) overfitting artifacts. ESANN 2023 - [c14]Anne-Sophie Collin, Cyril de Bodt, Dounia Mulders, Christophe De Vleeschouwer:
Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection. ESANN 2023 - [c13]Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt:
On the number of latent representations in deep neural networks for tabular data. ESANN 2023 - [c12]Pierre Lambert
Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. ESANN 2023 - 2022
- [j5]Daniel López Sánchez
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. Appl. Intell. 52(5): 4927-4939 (2022) - [j4]Pierre Lambert
SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. Neurocomputing 503: 17-27 (2022) - [j3]Cyril de Bodt
Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1546-1560 (2022) - [c11]Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt:
Globally local and fast explanations of t-SNE-like nonlinear embeddings. CIKM Workshops 2022 - [i2]Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR abs/2202.12087 (2022) - 2021
- [c10]Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
Stochastic quartet approach for fast multidimensional scaling. ESANN 2021 - [c9]Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt:
Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN 2021 - 2020
- [b1]Cyril de Bodt:
Robust and fast neighbor embedding algorithms. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2020 - [j2]Dounia Mulders
Inference of node attributes from social network assortativity. Neural Comput. Appl. 32(24): 18023-18043 (2020) - [c8]Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. ESANN 2020: 387-392 - [i1]Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. CoRR abs/2010.01359 (2020)
2010 – 2019
- 2019
- [j1]Cyril de Bodt
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1166-1179 (2019) - [c7]Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee:
Class-aware t-SNE: cat-SNE. ESANN 2019 - [c6]Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen:
Tensor factorization to extract patterns in multimodal EEG data. ESANN 2019 - 2018
- [c5]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee:
Perplexity-free t-SNE and twice Student tt-SNE. ESANN 2018 - [c4]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee:
Extensive assessment of Barnes-Hut t-SNE. ESANN 2018 - [c3]Dounia Mulders
Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. LVA/ICA 2018: 524-533 - [c2]Dounia Mulders
Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP (6) 2018: 476-487 - 2017
- [c1]Dounia Mulders
Improving individual predictions using social networks assortativity. WSOM 2017: 169-176
Coauthor Index
aka: John Aldo Lee
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