Heiretsu keisan-no suuri-to algorithm (Parallel Scientific Computing)

Patterns for Parallel Programming on GPUs

Service scheduling and rescheduling in an applications integration framework

Cloud-Computing: Data-Intensive Computing and Scheduling

Substructuring Techniques and Domain Decomposition Methods

Towards Ontologies for Image Interpretation and Annotation

POMAR: Compression of progressive oriented meshes accessible randomly

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

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

Towards Semantic Image Annotation With Keyword Disambiguation Using Semantic And Visual Knowledge

Building and Using Fuzzy Multimedia Ontologies for Semantic Image Annotation

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism

Construction de hiérarchies sémantiques pour l'annotation d'images

Building Semantic Hierarchies Faithful to Image Semantics

Progressive Compression of Manifold Polygon Meshes

Test-Time Adaptation with Principal Component Analysis

A Framework for a Fuzzy Matching between Multiple Domain Ontologies

Taylor Prediction for Mesh Geometry Compression

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies

Spatial Contrastive Learning for Few-Shot Classification

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

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

Combining Visual and Textual Modalities for Multimedia Ontology Matching

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

Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis

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

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications

Hierarchical image annotation using semantic hierarchies

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

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Random Accessible Hierarchical Mesh Compression for Interactive Visualization

Progressive compression of manifold polygon meshes

Improving neural classification with Logical Prior Knowledge

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

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation

Radiative properties of statistically anisotropic non beerian porous media; generalized radiative transfer equation and applications

Radiative transfer within non Beerian porous media with semitransparent and opaque phases in non equilibrium: Application to reflooding of a nuclear reactor

Generalized radiative transfer equation for porous medium upscaling: Application to the radiative Fourier law

Radiation in porous media: an upscaling methodology

Modeling macroscopic unsteady inertial flow in porous media should take into account the process history

Radiative conductivity of non beerian porous media: application to degraded rod bundles of a nuclear core

Wave turbulence modelling in rapidly rotating flows

RDFI determination of anisotropic and scattering dependent radiative conductivity tensors in porous media: Application to rod bundles

X-Ray µ-Tomography: a powerful tool for the modeling of the thermal radiative properties of porous media

Upscaling unsteady and inertial single-phase flow in homogeneous porous media

UPSCALED MODEL FOR NON-STEADY INERTIAL FLOW IN HOMOGENEOUS POROUS MEDIA

Macroscopic model for unsteady flow in porous media

Wave turbulence in rapidly rotating flows

A new formulation of the dispersion tensor in homogeneous porous media

Etude asymptotique de la turbulence d'ondes en rotation