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

2023

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

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 (7)
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 (14)

2007

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