Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs.

Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover

Patch-based deep learning architectures for sparse annotated very high resolution datasets

Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation

A multi-task deep learning framework coupling semantic segmentation and image reconstruction for very high resolution imagery

Integrating edge/boundary priors with classification scores for building detection in very high resolution data

Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning

Demystification of AI-driven medical image interpretation: past, present and future

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

Gene Expression High-Dimensional Clustering towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature

Stochastic MM Subspace Algorithms

Transformed Locally Linear Manifold Clustering

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm

A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation

HASL: An Expressive Language for Statistical Verification of Stochastic Models

Stochastic 2 micro-local analysis

Stochastic 2-microlocal analysis

From almost sure local regularity to almost sure Hausdorff dimension for Gaussian fields

What Is the World's Fastest Connected Component Labeling Algorithm?

Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors

A Review of World's Fastest Connected Component Labeling Algorithms: Speed and Energy Estimation

GreenLab: A Dynamical Model of Plant Growth for Environmental Applications

Assessment of Interactions in Complex Mechanistic Models using Global Sensitivity Analysis

Une histoire de la modélisation des plantes

Modelling Competition in Crop Populations via Reaction-­Diffusion Foliage Dynamics. With an Outlook on Tree Modelling

Towards an EDSL to enhance good modelling practice for non-linear stochastic discrete dynamical models Application to plant growth models

How I Learned to Stop Worrying and Love NoSQL Databases

Database Design for NoSQL Systems

Database Design for NoSQL Systems

SPARQL Query Processing in the Cloud

RDF Data Management in the Amazon Cloud

AMADA: Web Data Repositories in the Amazon Cloud

Toward Scalable Hybrid Stores

Invisible Glue: Scalable Self-Tuning Multi-Stores

Diagnosability for Patterns in Distributed Discrete Event Systems

An Optimized Algorithm for Diagnosability of Component-based Systems

Diagnosability Analysis of Discrete Event Systems with Autonomous Components

Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-Go

Biasing Monte-Carlo Simulations through RAVE Values

Current Frontiers in Computer Go

On the Parallelization of Monte-Carlo planning

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search

Adding expert knowledge and exploration in Monte-Carlo Tree Search

Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo

The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

Modeling tree crown dynamics with 3D partial differential equations

SUNLAB: a Functional-Structral Model for Genotypic and Phenotypic Characterization of the Sunflower Crop

基于GreenLab原理构建油松成年树的结构-功能模型 (A functional-structural model for adults of Pinus tabulaeformis based on GreenLab)

Characterization of the effects of inter-tree competition on source-sink balance in Chinese pine trees with the GreenLab model