Euler-Bernoulli beam flatness based control with constraints

Event driven model free control of quadrotor

Self-adjoint extensions and stochastic completeness of the Laplace–Beltrami operator on conic and anticonic surfaces

Filling the Gaps: On the Completion of Sparse Call Detail Records for Mobility Analysis

On the Quest for Representative Behavioral Datasets: Mobility and Content Demand

Spatio-Temporal Completion of Call Detail Records for Human Mobility Analysis

Spatio-Temporal Predictability of Cellular Data Traffic

The Spatiotemporal Interplay of Regularity and Randomness in Cellular Data Traffic

Active vibration control through quasi-polynomial based controller

A Delayed Feedback Controller for Active Vibration Control : A Rightmost-Characteristic Root Assignment based Approach

On the Coalescence of Spectral Values and its Effect on the Stability of Time-delay Systems: Application to Active Vibration Control

Stabilization of Persistently Excited Linear Systems by Delayed Feedback Laws

Relative controllability of linear difference equations

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets

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