Badih Ghattas

According to our database, Badih Ghattas authored at least 20 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subsampling under distributional constraints.

Florian Combes, Ricardo Fraiman, Badih Ghattas

Stat. Anal. Data Min., February, 2024

2022

FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN).

Farideh Bazangani, Frédéric J. P. Richard, Badih Ghattas, Eric Guedj

Sensors, 2022

Improved linear regression prediction by transfer learning.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

Comput. Stat. Data Anal., 2022

2021

Medical image segmentation automatic quality control: A multi-dimensional approach.

Joris Fournel, Axel Bartoli, David Bendahan, Maxime Guye, Monique Bernard, Elisa Rauseo, Mohammed Y. Khanji, Steffen E. Petersen, Alexis Jacquier, Badih Ghattas

Medical Image Anal., 2021

Transfer Learning for Linear Regression: a Statistical Test of Gain.

David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude

CoRR, 2021

MapReduce Clustering for Big Data.

Badih Ghattas, Antoine Pinto, Sambou Diao

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Deep Learning for Semantic Segmentation.

Alexandre Benoît, Badih Ghattas, Emna Amri, Joris Fournel, Patrick Lambert

Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020

OLOGRAM: determining significance of total overlap length between genomic regions sets.

Quentin Ferré, Guillaume Charbonnier, N. Sadouni, Frédéric Lopez, Yasmina Kermezli, Salvatore Spicuglia, Cécile Capponi, Badih Ghattas, Denis Puthier

Bioinform., 2020

2019

Multivariate and functional robust fusion methods for structured Big Data.

Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas

J. Multivar. Anal., 2019

Assessing variable importance in clustering: a new method based on unsupervised binary decision trees.

Badih Ghattas, Pierre Michel, Laurent Boyer

Comput. Stat., 2019

Textual Data for Time Series Forecasting.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

CoRR, 2019

Inferring linear and nonlinear Interaction networks using neighborhood support vector machines.

Kamel Jebreen, Badih Ghattas

CoRR, 2019

2017

Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods.

Badih Ghattas, Pierre Michel, Laurent Boyer

Pattern Recognit., 2017

Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates.

Mathias Bourel, Badih Ghattas

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Bayesian Network Classification: Application to Epilepsy Type Prediction Using PET Scan Data.

Kamel Jebreen, Badih Ghattas

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Random average shifted histograms.

Mathias Bourel, Ricardo Fraiman, Badih Ghattas

Comput. Stat. Data Anal., 2014

2013

Interpretable clustering using unsupervised binary trees.

Ricardo Fraiman, Badih Ghattas, Marcela Svarc

Adv. Data Anal. Classif., 2013

2007

Classifying densities using functional regression trees: Applications in oceanology.

David Nerini, Badih Ghattas

Comput. Stat. Data Anal., 2007

1999

Procédure manuelle pour la construction d'arbres de régression sous S+.

Badih Ghattas

Monde des Util. Anal. Données, 1999

Importance des variables dans les méthodes CART.

Badih Ghattas

Monde des Util. Anal. Données, 1999