12 documents
Journal articles
- Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon. Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling. IEEE Transactions on Image Processing, 2025, 34, pp.221-234. ⟨10.1109/TIP.2024.3520012⟩. ⟨hal-04480090v2⟩
- Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas. Dataset for image classification with knowledge. Data in Brief, 2024, 57, pp.110893. ⟨10.1016/j.dib.2024.110893⟩. ⟨hal-04716692⟩
- Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas. Knowledge graph-based image classification. Data and Knowledge Engineering, 2024, pp.102285. ⟨10.1016/j.datak.2024.102285⟩. ⟨hal-04484340⟩
- Thi-Bich-Hanh Dao, Christel Vrain. A review on declarative approaches for constrained clustering. International Journal of Approximate Reasoning, In press, pp.109135. ⟨10.1016/j.ijar.2024.109135⟩. ⟨hal-04438047⟩
- Titouan Simonnet, Sylvain Grangeon, Francis Claret, Nicolas Maubec, Mame Diarra Fall, et al.. Phase quantification using deep neural network processing of XRD patterns. International Union of Crystallography journal, 2024, 11 (Part 5), pp.859-870. ⟨10.1107/S2052252524006766⟩. ⟨hal-04673455⟩
- Sofiane Elguendouze, Adel Hafiane, Marcilio C.P. de Souto, Anaïs Halftermeyer. Explainability in image captioning based on the latent space. Neurocomputing, 2023, 546, pp.126319. ⟨10.1016/j.neucom.2023.126319⟩. ⟨hal-04297852⟩
Conference papers
- Thi Hai Yen Vu, Thi-Bich-Hanh Dao, Vincent Nguyen, Christel Vrain, Hugo Breuillard. Features Leverage in Graph Models for Mineral Prospectivity Mapping. ACM Symposium On Applied Computing (SAC), Mar 2025, Sicily, Italy. ⟨hal-04967663⟩
- Elhadji C. Faye, Mame Diarra Fall, Aladine Chetouani, Nicolas Dobigeon. Bayesian formulation of regularization by denoising - Model and Monte Carlo sampling. IEEE International Workshop on Multimedia Signal Processing (MMSP), Oct 2024, West Lafayette, IN, United States. ⟨hal-04774763⟩
- Titouan Simonnet, Mame Diarra Fall, Bruno Galerne, Francis Claret, Sylvain Grangeon. Proportion inference using deep neural networks. Applications to x-ray diffraction and hyperspectral imaging. 2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. pp.1310-1314, ⟨10.23919/EUSIPCO58844.2023.10289954⟩. ⟨hal-03891413v2⟩
- Franck Anaël Mbiaya, Christel Vrain, Frédéric Ros, Thi-Bich-Hanh Dao, Yves Lucas. KGIC : Intégration de graphe de connaissances pour la classification d'images. Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.259-272. ⟨hal-03872184⟩
- Sofiane Elguendouze, Marcilio C. P. de Souto, Adel Hafiane, Anaïs Halftermeyer. Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. International Joint Conference on Neural Networks 2022, Jul 2022, Padua, Italy. ⟨hal-03699946⟩
Preprints, Working Papers
- Titouan Simonnet, Mame Diarra Fall, Sylvain Grangeon, Bruno Galerne. VISION TRANSFORMERS FOR X-RAY DIFFRACTION PATTERNS ANALYSIS. 2024. ⟨hal-04696156⟩
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