Mining Frequent Most Informative Subgraphs

La famille des motifs les plus informatifs. Application à l'extraction de graphes en chimie organique

The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases

Prétraitement des bases de données de réactions chimiques pour la fouille de schémas de réactions

L'extraction de règles de dépendance bien définies entre ensembles de variables multivaluées

Le problème de l'extraction des graphes informatifs. Application à l'extraction de connaissance à partir de bases de réactions chimiques

Mining Intervals of Graphs to Extract Characteristic Reaction Patterns

La fouille de graphes dans les bases de données réactionnelles au service de la synthèse en chimie organique

Discovering Approximate Functional Dependencies using Smoothed Mutual Information

Méthodes d'extraction de connaissances à partir de données modélisables par des graphes : Application à des problèmes de synthèse organique

Méthodes d'extraction de connaissances à partir de données modélisables par des graphes. Application à des problèmes de synthèse organique.

2024 Activity Report — Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering

An Efficient Algorithm for Computing Entropic Measures of Feature Subsets

2023 Activity Report -- Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering

A Bayesian Neural Network based on Dropout Regulation

Graph-Mining Algorithm for the Evaluation of Bond Formability

Clarity: a Deep Ensemble for Visual Counterfactual Explanations

On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss

A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression

Fine Grained Computations and Interactive Distributed Applications: Two important Issues in Parallel, Distributed and Grid Computing

Calcul sur GPU

A Generic Distributed Architecture for Business Computations. Application to Financial Risk Analysis

Une bibliothèque de développement parallèle de réseaux neuromimétiques

From Grid to private Clouds, to inter‐Clouds. An overview and some questions for future of cloud computing

Algorithmes itératifs asynchrones et grappe de GPUs

Multi-Target Vectorization with MTPS C++ Generic Library

Solveur linéaire sur GPU

Multi-Target Vectorization With MTPS C++ Generic Library

Design and Experimentation of a Large Scale Distributed Stochastic Control Algorithm Applied to Energy Management Problems

Parallélisation d'un simulateur d'agents situés

ParCeL-3: A Parallel Programming Language Based on Concurrent Cells and Multiple Clocks

European Option Princing on a GPU Cluster

An efficient multi-algorithms sparse linear solver for GPUs

An efficient multi-algorithms sparse linear solver for GPUs

Un environnement de simulation orienté Agents : apport des modèles stochastiques et du parallélisme

A bridge between two paradigms for parallelism : Neural Networks and general purpose MIMD computers.

Optimizing computing and energy performances on GPU clusters: experimentation on a PDE solver

Toward a Multi-Target Linear Algebra Library for GPUs and Multicore CPUs

The parXXL Environment: Scalable Fine Grained Development for Large Coarse Grained Platforms

Large Scale Distribution of Stochastic Control Algorithms for Financial Applications

parXXL: A Fine Grained Development Environment on Coarse Grained Architectures

Aide à la parallélisation des réseaux connexionnistes

Parallel simulation of a stochastic agent/environment interaction model

Parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms

METHOD FOR THE SEGMENTATION ENCODING OF AN IMAGE

Impact of asynchronism on GPU accelerated parallel iterative computations

A library to implement neural networks on MIMD machines

Massively Parallel Solving of 3D Simplified PN Equations on Graphics Processing Units

A Stochastic Model of Interaction for Situated Agents and its Parallel Implementation

Multi-target C++ implementation of parallel skeletons