Paul-Henry Cournède

Orcid: 0000-0001-7679-6197

According to our database1, Paul-Henry Cournède authored at least 39 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization.
PLoS Comput. Biol., February, 2024

2023
A biology-driven deep generative model for cell-type annotation in cytometry.
Briefings Bioinform., September, 2023

CustOmics: A versatile deep-learning based strategy for multi-omics integration.
PLoS Comput. Biol., March, 2023

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data.
CoRR, 2023

Structured State Space Models for Multiple Instance Learning in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Formal Approach for Tuning Stochastic Oscillators.
Proceedings of the Computational Methods in Systems Biology, 2023

2022
Representation Learning for the Clustering of Multi-Omics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Leveraging conditional generative models in a general explanation framework of classifier decisions.
Future Gener. Comput. Syst., 2022

Interpretable cytometry cell-type annotation with flow-based deep generative models.
CoRR, 2022

Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis.
Proceedings of the Machine Learning for Health, 2022

2021
Automaton-ABC: A statistical method to estimate the probability of spatio-temporal properties for parametric Markov population models.
Theor. Comput. Sci., 2021

Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

Neural Networks to Predict Survival from RNA-seq Data in Oncology.
Proceedings of the Computational Methods in Systems Biology, 2021

2020
Dynamic monitoring of software use with recurrent neural networks.
Data Knowl. Eng., 2020

On the Use of Neural Networks with Censored Time-to-Event Data.
Proceedings of the Mathematical and Computational Oncology, 2020

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models.
Comput. Stat. Data Anal., 2019

Reachability Design Through Approximate Bayesian Computation.
Proceedings of the Computational Methods in Systems Biology, 2019

2017
Reconstructing minimal length tree branch systems from leaf positions.
Ecol. Informatics, 2017

2016
Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach.
Bioinform., 2016

Learning from User Workflows for the Characterization and Prediction of Software Crashes.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
A comparison of a generic MCMC-based algorithm for Bayesian estimation in C++, R and Julia: application to plant growth modeling.
Proceedings of the 48th Annual Simulation Symposium, 2015

WIP - Promoting good modeling practice with a domain-specific language and statistical algorithms designed for parallel computing.
Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium, 2015

2014
Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation.
IEEE Trans. Geosci. Remote. Sens., 2014

Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling.
Comput. Stat. Data Anal., 2014

A Symbolic Method to Analyse Patterns in Plant Structure.
Comb. Probab. Comput., 2014

2013
Parallel Graph Grammars with Instantiation Rules Allow Efficient Structural Factorization of Virtual Vegetation.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2013

Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models.
Proceedings of the SIMULTECH 2013, 2013

Optimal Control of Crop Irrigation based on the Hamilton-Jacobi-Bellman Equation.
Proceedings of the SIAM Conference on Control and its Applications, 2013

Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction.
Proceedings of the SIAM Conference on Control and its Applications, 2013

2012
An efficient computational method for global sensitivity analysis and its application to tree growth modelling.
Reliab. Eng. Syst. Saf., 2012

An optimal control methodology for plant growth - Case study of a water supply problem of sunflower.
Math. Comput. Simul., 2012

2008
Analytical study of a stochastic plant growth model: Application to the GreenLab model.
Math. Comput. Simul., 2008

Structural identifiability of generalized constraint neural network models for nonlinear regression.
Neurocomputing, 2008

2007
Simulation and Visualisation of Functional Landscapes: Effects of the Water Resource Competition Between Plants.
J. Comput. Sci. Technol., 2007

2006
Structural Factorization of Plants to Compute Their Functional and Architectural Growth.
Simul., 2006

A dynamical model of plant growth with full retroaction between organogenesis and photosynthesis.
ARIMA J., 2006

2005
Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab.
ARIMA J., 2005


  Loading...