Badih Ghattas - RankMe

23 papers C 2Journal 19Unranked 1

Year	Rank	Type	Title / 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