Search Results for author: Nidhal C. Bouaynaya

Found 6 papers, 1 papers with code

Self-Compression in Bayesian Neural Networks

no code implementations10 Nov 2021 Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya

We show that Bayesian neural networks automatically discover redundancy in model parameters, thus enabling self-compression, which is linked to the propagation of uncertainty through the layers of the network.

BIG-bench Machine Learning

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation

no code implementations15 Aug 2021 Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Magnetic resonance imaging (MRI) is routinely used for brain tumor diagnosis, treatment planning, and post-treatment surveillance.

Brain Tumor Segmentation Tumor Segmentation

Exploring Robust Architectures for Deep Artificial Neural Networks

1 code implementation30 Jun 2021 Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya

The architectures of deep artificial neural networks (DANNs) are routinely studied to improve their predictive performance.

Image Classification Neural Architecture Search +1

Constrained State Estimation -- A Review

no code implementations10 Jul 2018 Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya

The real-world applications in signal processing generally involve estimating the system state or parameters in nonlinear, non-Gaussian dynamic systems.

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