Badih Ghattas

23 papers C 2Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clustering Approaches for Mixed-Type Data: A Comparative Study.
CoRR
Badih Ghattas, Alvaro Sanchez San-Benito
2025 J jnl
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks.
CoRR
Oscar L. Cruz-González, Valérie Deplano, Badih Ghattas
2024 J jnl
Subsampling under distributional constraints.
Stat. Anal. Data Min.
Florian Combes, Ricardo Fraiman, Badih Ghattas
2024 J jnl
Textual data for electricity load forecasting.
Qual. Reliab. Eng. Int.
David Obst, Sandra Claudel, Jairo Cugliari, Badih Ghattas, Yannig Goude, Georges Oppenheim
2022 J jnl
FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN).
Sensors
Farideh Bazangani, Frédéric J. P. Richard, Badih Ghattas, Eric Guedj
2022 J jnl
Improved linear regression prediction by transfer learning.
Comput. Stat. Data Anal.
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
2021 — ch.
Deep Learning for Semantic Segmentation.
Multi-faceted Deep Learning
Alexandre Benoît, Badih Ghattas, Emna Amri, Joris Fournel, Patrick Lambert
2021 — conf
MapReduce Clustering for Big Data.
IEEE BigData
Badih Ghattas, Antoine Pinto, Sambou Diao
2021 J jnl
Medical image segmentation automatic quality control: A multi-dimensional approach.
Medical Image Anal.
Joris Fournel, Axel Bartoli, David Bendahan, Maxime Guye, Monique Bernard, Elisa Rauseo, Mohammed Y. Khanji, Steffen E. Petersen, Alexis Jacquier, Badih Ghattas
2021 J jnl
Transfer Learning for Linear Regression: a Statistical Test of Gain.
CoRR
David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude
2020 J jnl
OLOGRAM: determining significance of total overlap length between genomic regions sets.
Bioinform.
Quentin Ferré, Guillaume Charbonnier, N. Sadouni, Frédéric Lopez, Yasmina Kermezli, Salvatore Spicuglia, Cécile Capponi, Badih Ghattas, Denis Puthier
2019 J jnl
Assessing variable importance in clustering: a new method based on unsupervised binary decision trees.
Comput. Stat.
Badih Ghattas, Pierre Michel, Laurent Boyer
2019 J jnl
Inferring linear and nonlinear Interaction networks using neighborhood support vector machines.
CoRR
Kamel Jebreen, Badih Ghattas
2019 J jnl
Multivariate and functional robust fusion methods for structured Big Data.
J. Multivar. Anal.
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas
2019 J jnl
Textual Data for Time Series Forecasting.
CoRR
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
2017 J jnl
Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods.
Pattern Recognit.
Badih Ghattas, Pierre Michel, Laurent Boyer
2017 C conf
Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates.
ICMLA
Mathias Bourel, Badih Ghattas
2016 C conf
Bayesian Network Classification: Application to Epilepsy Type Prediction Using PET Scan Data.
ICMLA
Kamel Jebreen, Badih Ghattas
2014 J jnl
Random average shifted histograms.
Comput. Stat. Data Anal.
Mathias Bourel, Ricardo Fraiman, Badih Ghattas
2013 J jnl
Interpretable clustering using unsupervised binary trees.
Adv. Data Anal. Classif.
Ricardo Fraiman, Badih Ghattas, Marcela Svarc
2007 J jnl
Classifying densities using functional regression trees: Applications in oceanology.
Comput. Stat. Data Anal.
David Nerini, Badih Ghattas
1999 J jnl
Importance des variables dans les méthodes CART.
Monde des Util. Anal. Données
Badih Ghattas
1999 J jnl
Procédure manuelle pour la construction d'arbres de régression sous S+.
Monde des Util. Anal. Données
Badih Ghattas