76 citations · 83 across the 7 of their papers we have counts for
11 papers
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber +4
Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonst…
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Gaber
Due to the high availability of large-scale annotated image datasets, knowledge transfer from pre-trained models showed outstanding performance in medical image classification. How…
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
Zahraa S. Abdallah, Mohamed Medhat Gaber
Time series classification (TSC) is a challenging task that attracted many researchers in the last few years. One main challenge in TSC is the diversity of domains where time serie…
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
Deep neural networks have experimentally demonstrated superior performance over other machine learning approaches in decision-making predictions. However, one major concern is the…
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
Besher Alhalabi, Mohamed Gaber, Shadi Basurra
Most recently, with the proliferation of IoT devices, computational nodes in manufacturing systems IIoT(Industrial-Internet-of-things) and the lunch of 5G networks, there will be m…
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets,…