Details about Badih Ghattas

Access statistics for papers by Badih Ghattas.

Last updated 2026-03-11. Update your information in the RePEc Author Service.

Short-id: pgh239

Working Papers

2025

1. A hypothesis test for comparing two partitions obtained from the same dataset
   Post-Print, HAL
2. Clustering Approaches for Mixed‐Type Data: A Comparative Study
   Post-Print, HAL
   See also Journal Article Clustering Approaches for Mixed-Type Data: A Comparative Study, Journal of Probability and Statistics, Hindawi (2025) (2025)

2024

3. Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study
   Post-Print, HAL
4. Subsampling under distributional constraints
   Post-Print, HAL

2023

5. Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data
   Post-Print, HAL
6. Looking for a hyper polyhedron within the multidimensional space of Design Space from the results of Designs of Experiments
   Post-Print, HAL
7. Machine-learning prediction for hospital length of stay using a French medico-administrative database
   Post-Print, HAL View citations (1)

2019

8. Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
   Post-Print, HAL
   See also Journal Article Assessing variable importance in clustering: a new method based on unsupervised binary decision trees, Computational Statistics, Springer (2019) (2019)

2016

9. A Multidimensional Computerized Adaptive Short-Form Quality of Life ă Questionnaire Developed and Validated for Multiple Sclerosis The ă MusiQoL-MCAT
   Post-Print, HAL View citations (1)

2000

10. Importance des variables dans les methodes CART
    G.R.E.Q.A.M., Universite Aix-Marseille III

1999

11. Agregation d'arbres de classification
    G.R.E.Q.A.M., Universite Aix-Marseille III
12. Previsions des pics d'ozone par arbres de regression, simples et agreges par bootstrap
    G.R.E.Q.A.M., Universite Aix-Marseille III
13. Previsions par arbres de classification
    G.R.E.Q.A.M., Universite Aix-Marseille III

Journal Articles

2025

1. Clustering Approaches for Mixed-Type Data: A Comparative Study
   Journal of Probability and Statistics, 2025, 2025, 1-14
   Also in Journal of Probability and Statistics, 2025, 2025, (1) (2025)
   See also Working Paper Clustering Approaches for Mixed‐Type Data: A Comparative Study, Post-Print (2025) (2025)

2023

2. Machine Learning Alternatives to Response Surface Models
   Mathematics, 2023, 11, (15), 1-27 View citations (1)

2022

3. Improved linear regression prediction by transfer learning
   Computational Statistics & Data Analysis, 2022, 174, (C) View citations (1)

2021

4. A combined strategy for multivariate density estimation
   Journal of Nonparametric Statistics, 2021, 33, (1), 39-59

2019

5. Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
   Computational Statistics, 2019, 34, (1), 301-321
   See also Working Paper Assessing variable importance in clustering: a new method based on unsupervised binary decision trees, Post-Print (2019) (2019)
6. Multivariate and functional robust fusion methods for structured Big Data
   Journal of Multivariate Analysis, 2019, 170, (C), 149-161 View citations (1)

2017

7. Multi-model approach to predict phytoplankton biomass and composition dynamics in a eutrophic shallow lake governed by extreme meteorological events
   Ecological Modelling, 2017, 360, (C), 80-93

2015

8. Exploring the Response Shift Effect on the Quality of Life of Patients with Schizophrenia
   Medical Decision Making, 2015, 35, (3), 388-397

2013

9. Interpretable clustering using unsupervised binary trees
   Advances in Data Analysis and Classification, 2013, 7, (2), 125-145 View citations (5)
10. Nonparametric comparison of several transformations of distribution functions
    Journal of Nonparametric Statistics, 2013, 25, (3), 619-633

2012

11. A review of supervised machine learning algorithms and their applications to ecological data
    Ecological Modelling, 2012, 240, (C), 113-122 View citations (13)

2007

12. Classifying densities using functional regression trees: Applications in oceanology
    Computational Statistics & Data Analysis, 2007, 51, (10), 4984-4993 View citations (25)