1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani, Pascal Frossard
Understanding causal relationships in multivariate time series is crucial in many scenarios, such as those dealing with financial or neurological data. Many such time series exhibi…
cs.LG2023★ 1 cited
Causal Temporal Regime Structure Learning
Abdellah Rahmani, Pascal Frossard
Understanding causal relationships in multivariate time series is essential for predicting and controlling dynamic systems in fields like economics, neuroscience, and climate scien…
eess.SP2022★ 1 cited
A Meta-GNN approach to personalized seizure detection and classification
Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
In this paper, we propose a personalized seizure detection and classification framework that quickly adapts to a specific patient from limited seizure samples. We achieve this by c…