119 results on '"Céline Hudelot"'
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2. An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning.
3. Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications.
4. Layout and Activity-based Textbook Modeling for Automatic PDF Textbook Extraction.
5. Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case.
6. Open-Set Likelihood Maximization for Few-Shot Learning.
7. Classification automatique de données déséquilibrées et bruitées : application aux exercices de manuels scolaires.
8. How to Think About Benchmarking Neurosymbolic AI?
9. AdvisIL - A Class-Incremental Learning Advisor.
10. Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling.
11. Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning.
12. Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).
13. Spatial Contrastive Learning for Few-Shot Classification.
14. Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.
15. Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift.
16. Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding.
17. Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.
18. Improving Next-Application Prediction with Deep Personalized-Attention Neural Network.
19. SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations.
20. Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais.
21. Semi-Supervised Semantic Segmentation With Cross-Consistency Training.
22. A French Corpus for Event Detection on Twitter.
23. Minority Class Oriented Active Learning for Imbalanced Datasets.
24. AVAE: Adversarial Variational Auto Encoder.
25. Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification.
26. Robust Domain Adaptation: Representations, Weights and Inductive Bias.
27. Autoregressive Unsupervised Image Segmentation.
28. Active Learning for Imbalanced Datasets.
29. Apprentissage de relations floues pour l'annotation sémantique expliquée avec peu de données.
30. Controlling generative models with continuous factors of variations.
31. A Fuzzy Close Algorithm for Mining Fuzzy Association Rules.
32. Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence.
33. Real-Time Collection of Reliable and Representative Tweets Datasets Related to News Events.
34. MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features.
35. Diverse Concept-Level Features for Multi-Object Classification.
36. ALC(𝔽): A New Description Logic for Spatial Reasoning in Images.
37. Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge.
38. Mathematical Morphology Operators over Concept Lattices.
39. Tag completion based on belief theory and neighbor voting.
40. Bag-of-multimedia-words for image classification.
41. Hierarchical image annotation using semantic hierarchies.
42. Belief Theory for Large-Scale Multi-label Image Classification.
43. Building Semantic Hierarchies Faithful to Image Semantics.
44. Towards ontologies for image interpretation and annotation.
45. Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation.
46. A Framework for a Fuzzy Matching between Multiple Domain Ontologies.
47. Building A Fuzzy Knowledge Body for Integrating Domain Ontologies.
48. Learning Finer-class Networks for Universal Representations.
49. Combining Visual and Textual Modalities for Multimedia Ontology Matching.
50. Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning.
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