Building and Using Fuzzy Multimedia Ontologies for Semantic Image Annotation

Cluster-based Random Accessible and Progressive Lossless Compression of Colored Triangular Meshes for Interactive Visualization

Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hiérarchies sémantiques adaptées à l'annotation d'images

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies

Construction de hiérarchies sémantiques pour l'annotation d'images

Building Semantic Hierarchies Faithful to Image Semantics

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

Combining Visual and Textual Modalities for Multimedia Ontology Matching

Progressive Compression of Manifold Polygon Meshes

Taylor Prediction for Mesh Geometry Compression

A Framework for a Fuzzy Matching between Multiple Domain Ontologies

Random Accessible Hierarchical Mesh Compression for Interactive Visualization

Construction d'une ontologie commune par alignement flou d'ontologies d'un domaine

Spatial Contrastive Learning for Few-Shot Classification

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs

Ontology matching for the semantic annotation of images

Leveraging conditional generative models in a general explanation framework of classifier decisions

Hierarchical image annotation using semantic hierarchies

Réduire les biais dans la collecte de tweets

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications

Techniques neurosymboliques probabilistes pour la classification supervisée informée par la logique

Améliorer la classification multi-labels par réseaux de neurones avec de la connaissance logique a priori

Semantic Conditioning at Inference Improving Neural-based Systems with Logical Background Knowledge

Apprentissage multimodal pour le diagnostic de fautes sur données séquentielles non alignées et arbitrairement longues

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning

Improving neural classification with Logical Prior Knowledge

A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques

Progressive compression of manifold polygon meshes

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation

An Overview of Deep Semi-Supervised Learning

Real-time collection of reliable and representative tweets datasets related to news events

Improving Next-Application Prediction with Deep Personalized-Attention Neural Network

Robust Domain Adaptation: Representations, Weights and Inductive Bias

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling

Autoregressive Unsupervised Image Segmentation

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge

Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence

Prise en compte de l'imperfection des tags pour la classification sémantique d'images

Belief Theory for Large-Scale Multi-label Image Classification

Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis

MuCaLe-Net: Multi categorical-Level networks to generate more discriminating features

Visualisation scientifique distante de maillages 3D progressifs avec le format X3D

Multimedia ontology matching by using visual and textual modalities

A Fuzzy Close Algorithm for Mining Fuzzy Association Rules

Tag completion based on belief theory and neighbor voting

How to Think About Benchmarking Neurosymbolic AI?