Badih Ghattas

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Textual Data for Time Series Forecasting pdf

Yannig Goude, Jairo Cugliari, Georges Oppenheim, 2019, ArXiv.

Random average shifted histograms

Ricardo Fraiman, Badih Ghattas, Mathias Bourel, 2014, Comput. Stat. Data Anal..

Classifying densities using functional regression trees: Applications in oceanology

Badih Ghattas, David Nerini, B. Ghattas, 2007, Comput. Stat. Data Anal..

A review of supervised machine learning algorithms and their applications to ecological data

Badih Ghattas, C. Crisci, G. Perera, 2012 .

Deep Learning-based Automated Segmentation of Left Ventricular Trabeculations and Myocardium on Cardiac MR Images: A Feasibility Study.

Alain Lalande, Badih Ghattas, Gilbert Habib, 2020, Radiology. Artificial intelligence.

Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates

Badih Ghattas, Mathias Bourel, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Aggregating Density Estimators: An Empirical Study

Badih Ghattas, Mathias Bourel, 2012 .

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

Badih Ghattas, Kamel Jebreen, B. Ghattas, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Importance des variables dans les méthodes CART

Badih Ghattas, 1999, Monde des Util. Anal. Données.

Interpretable clustering using unsupervised binary trees

Ricardo Fraiman, Badih Ghattas, Marcela Svarc, 2011, Advances in Data Analysis and Classification.

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

Pierre Michel, Badih Ghattas, Laurent Boyer, 2019, Comput. Stat..

MACHINE LEARNING PROCEDURES: AN APPLICATION TO BYCATCH DATA OF THE MARINE TURTLES CARETTA CARETTA

Badih Ghattas, Irene Machado, Maite Pons, 2008 .

Multivariate and functional robust fusion methods for structured Big Data

Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas, 2019, J. Multivar. Anal..

Robust fusion methods for Big Data

Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas, 2017 .

Comparing partitions through the Matching Error

Badih Ghattas, Mathias Bourel, Meliza Gonz'alez, 2019 .

Clustering using Unsupervised Binary Trees: CUBT pdf

Ricardo Fraiman, Badih Ghattas, Marcela Svarc, 2010, ArXiv.

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

Pierre Michel, Badih Ghattas, Laurent Boyer, 2017, Pattern Recognit..

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

Badih Ghattas, Kamel Jebreen, B. Ghattas, 2019, 2021 International Conference on Engineering and Emerging Technologies (ICEET).

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

Yannig Goude, Jairo Cugliari, David Obst, 2021, ArXiv.

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

David Bendahan, Steffen E. Petersen, Badih Ghattas, 2021, Medical Image Anal..

Defining Quality of Life Levels to Enhance Clinical Interpretation in Multiple Sclerosis: Application of a Novel Clustering Method

Peter Flachenecker, Badih Ghattas, Laurent Boyer, 2017, Medical care.

Modernizing quality of life assessment: development of a multidimensional computerized adaptive questionnaire for patients with schizophrenia

Badih Ghattas, Laurent Boyer, Pascal Auquier, 2018, Quality of Life Research.

Computerized adaptive testing with decision regression trees: an alternative to item response theory for quality of life measurement in multiple sclerosis

Badih Ghattas, Laurent Boyer, Pascal Auquier, 2018, Patient preference and adherence.

Multi-model approach to predict phytoplankton biomass and composition dynamics in a eutrophic shallow lake governed by extreme meteorological events

Rafael Terra, Badih Ghattas, Guillermo Goyenola, 2017 .

The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types

Badih Ghattas, Sylviane Confort-Gouny, Nadine Girard, 2016, Journal of Neuro-Oncology.

Muscle Quantitative MR Imaging and Clustering Analysis in Patients with Facioscapulohumeral Muscular Dystrophy Type 1

David Bendahan, Badih Ghattas, Arnaud Le Troter, 2015, PloS one.