Denys Pommeret

Orcid: 0000-0002-6128-1008

According to our database1, Denys Pommeret authored at least 17 papers between 2001 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression.
Trans. Mach. Learn. Res., 2024

Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory.
CoRR, 2023

Data Augmentation for Imbalanced Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets.
Adv. Data Anal. Classif., 2022

MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

MIAMI: MIxed Data Augmentation MIxture.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2020
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets.
CoRR, 2020

2016
A polynomial expansion to approximate the ultimate ruin probability in the compound Poisson ruin model.
J. Comput. Appl. Math., 2016

2015
Data driven smooth test of comparison for dependent sequences.
J. Multivar. Anal., 2015

2013
A two-sample test when data are contaminated.
Stat. Methods Appl., 2013

Likelihood-free parallel tempering.
Stat. Comput., 2013

Parallel tempering with equi-energy moves.
Stat. Comput., 2013

2012
A study of variable selection using g-prior distribution with ridge parameter.
Comput. Stat. Data Anal., 2012

2011
Comments on 'Bayesian variable selection for disease classification using gene expression data'.
Bioinform., 2011

2008
Testing Mixed Distributions when the Mixing Distribution Is Known.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2001
Orthogonal and pseudo-orthogonal multi-dimensional Appell polynomials.
Appl. Math. Comput., 2001


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