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Thierry Denoeux

Identifiers

  • name variant Thierry Denoeux 0.60 · backfill

Papers (21)

  1. Evidential time-to-event prediction with calibrated uncertainty quantification cs.LG · 2024 · author #4
  2. An evidential time-to-event prediction model based on Gaussian random fuzzy numbers cs.LG · 2024 · author #3
  3. Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation eess.IV · 2023 · author #4
  4. An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers cs.LG · 2022 · author #1
  5. Evidence fusion with contextual discounting for multi-modality medical image segmentation cs.CV · 2022 · author #2
  6. Application of belief functions to medical image segmentation: A review cs.CV · 2022 · author #3
  7. Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models cs.AI · 2022 · author #1
  8. Lymphoma segmentation from 3D PET-CT images using a deep evidential network cs.CV · 2022 · author #4
  9. Clustering acoustic emission data streams with sequentially appearing clusters using mixture models stat.ML · 2021 · author #2
  10. Fusion of evidential CNN classifiers for image classification cs.CV · 2021 · author #3
  11. Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation eess.IV · 2021 · author #2
  12. Evidential segmentation of 3D PET/CT images eess.IV · 2021 · author #4
  13. Belief function-based semi-supervised learning for brain tumor segmentation cs.CV · 2021 · author #3
  14. Covid-19 classification with deep neural network and belief functions eess.IV · 2021 · author #3
  15. EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering cs.LG · 2020 · author #2
  16. NN-EVCLUS: Neural Network-based Evidential Clustering cs.LG · 2020 · author #1
  17. Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence cs.AI · 2020 · author #1
  18. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions cs.AI · 2019 · author #1
  19. Calibrated model-based evidential clustering using bootstrapping cs.LG · 2019 · author #1
  20. Decision-Making with Belief Functions: a Review cs.AI · 2018 · author #1
  21. Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective cs.LG · 2018 · author #1

Mentions

  • 2411.07853 #4 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2309.05919 #4 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2406.13487 #3 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2202.08081 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2205.01733 #3 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2208.00647 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2108.11211 #2 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2010.01333 #2 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2206.11739 #2 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2201.13078 #4 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2004.11638 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2108.05422 #2 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2108.10233 #3 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2009.12795 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2104.13293 #4 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2102.00097 #3 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 2101.06958 #3 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 1912.06594 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 1912.06137 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 1808.05322 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux
  • 1807.01846 #1 · arxiv_oai · confidence 0.70 Thierry Denoeux

Frequent Coauthors