Houssem Ben Braiek | DeepAI

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∙ 08/23/2023

An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems

Deep reinforcement learning (DRL) is increasingly applied in large-scale...

0 Ahmed Haj Yahmed, et al. ∙

∙ 09/07/2022

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design

Aircraft industry is constantly striving for more efficient design optim...

0 Houssem Ben Braiek, et al. ∙

∙ 09/07/2022

Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation

In the context of aircraft system performance assessment, deep learning ...

0 Houssem Ben Braiek, et al. ∙

∙ 07/13/2022

DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment

Quantization is one of the most applied Deep Neural Network (DNN) compre...

9 Ahmed Haj Yahmed, et al. ∙

∙ 04/01/2022

Testing Feedforward Neural Networks Training Programs

Nowadays, we are witnessing an increasing effort to improve the performa...

0 Houssem Ben Braiek, et al. ∙

∙ 07/28/2021

Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases

Neural network test cases are meant to exercise different reasoning path...

0 Ettore Merlo, et al. ∙

∙ 05/17/2021

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

Nowadays, we are witnessing an increasing demand in both corporates and ...

0 Amin Nikanjam, et al. ∙

∙ 01/01/2021

Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach

A growing demand is witnessed in both industry and academia for employin...

0 Amin Nikanjam, et al. ∙

∙ 09/05/2019

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks

The increasing inclusion of Deep Learning (DL) models in safety-critical...

0 Houssem Ben Braiek, et al. ∙

∙ 09/05/2019

TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs

The increasing inclusion of Machine Learning (ML) models in safety criti...

0 Houssem Ben Braiek, et al. ∙

∙ 12/05/2018

On Testing Machine Learning Programs

Nowadays, we are witnessing a wide adoption of Machine learning (ML) mod...

0 Houssem Ben Braiek, et al. ∙

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