Badih Ghattas

Orcid: 0000-0002-6160-9341

According to our database1, Badih Ghattas authored at least 20 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Subsampling under distributional constraints.
Stat. Anal. Data Min., February, 2024

2022
FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN).
Sensors, 2022

Improved linear regression prediction by transfer learning.
Comput. Stat. Data Anal., 2022

2021
Medical image segmentation automatic quality control: A multi-dimensional approach.
Medical Image Anal., 2021

Transfer Learning for Linear Regression: a Statistical Test of Gain.
CoRR, 2021

MapReduce Clustering for Big Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Deep Learning for Semantic Segmentation.
Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020
OLOGRAM: determining significance of total overlap length between genomic regions sets.
Bioinform., 2020

2019
Multivariate and functional robust fusion methods for structured Big Data.
J. Multivar. Anal., 2019

Assessing variable importance in clustering: a new method based on unsupervised binary decision trees.
Comput. Stat., 2019

Textual Data for Time Series Forecasting.
CoRR, 2019

Inferring linear and nonlinear Interaction networks using neighborhood support vector machines.
CoRR, 2019

2017
Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods.
Pattern Recognit., 2017

Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates.
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.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014
Random average shifted histograms.
Comput. Stat. Data Anal., 2014

2013
Interpretable clustering using unsupervised binary trees.
Adv. Data Anal. Classif., 2013

2007
Classifying densities using functional regression trees: Applications in oceanology.
Comput. Stat. Data Anal., 2007

1999
Procédure manuelle pour la construction d'arbres de régression sous S+.
Monde des Util. Anal. Données, 1999

Importance des variables dans les méthodes CART.
Monde des Util. Anal. Données, 1999


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