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B. Ghattas

4 papers hereh-index 181.3k citations77 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2026

Robust Dual-Model Collaborative Random Vector Functional Link Network

A. Quadir, A. Rahaman, Mushir Akhtar +1

Random vector functional link (RVFL) networks are lightweight and fast neural models that offer efficient training and strong generalization through randomized hidden-layer weights…

stat.ME2026

Balanced Twins: Causal Inference on Time Series with Hidden Confounding

Maha Ouali, Badih Ghattas, Emmanuel Flachaire +2

Accurately estimating treatment effects in time series is essential for evaluating interventions in real-world applications, especially when treatment assignment is biased by unobs…

stat.ML2025

Clustering Approaches for Mixed-Type Data: A Comparative Study

Badih Ghattas, Alvaro Sanchez San-Benito

Clustering is widely used in unsupervised learning to find homogeneous groups of observations within a dataset. However, clustering mixed-type data remains a challenge, as few exis…

cs.LG2025

Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks

Oscar L. Cruz-González, Valérie Deplano, Badih Ghattas

Due to the limited accuracy of 4D Magnetic Resonance Imaging (MRI) in identifying hemodynamics in cardiovascular diseases, the challenges in obtaining patient-specific flow boundar…

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