Vers une approche utilisant l'apprentissage de métrique pour du clustering semi-supervisé interactif d'images. - Viet Minh Vu; Hien Phuong Lai; Muriel Visani (CORIA-CIFED, 2016)

Towards an approach using metric learning for interactive semi-supervised clustering of images. - Viet Minh Vu; Hien Phuong Lai; Muriel Visani (KSE, 2016)

User-steering interpretable visualization with probabilistic principal components analysis. - Viet Minh Vu; Benoît Frénay (ESANN, 2019)

Explaining t-SNE Embeddings Locally by Adapting LIME. - Adrien Bibal; Viet Minh Vu; Géraldin Nanfack; Benoît Frénay (ESANN, 2020)

iPMDS: Interactive Probabilistic Multidimensional Scaling. - Viet Minh Vu; Adrien Bibal; Benoît Frénay (IJCNN, 2021)

HCt-SNE: Hierarchical Constraints with t-SNE. - Viet Minh Vu; Adrien Bibal; Benoît Frénay (IJCNN, 2021)

Constraint Preserving Score for Automatic Hyperparameter Tuning of Dimensionality Reduction Methods for Visualization. - Viet Minh Vu; Adrien Bibal; Benoît Frénay (IEEE Trans. Artif. Intell., 2021)

Integration of Constraints into Dimensionality Reduction Methods for Visualization - Viet Minh Vu (2021)

Integrating Constraints Into Dimensionality Reduction for Visualization: A Survey. - Viet Minh Vu; Adrien Bibal; Benoît Frénay (IEEE Trans. Artif. Intell., 2022)