76 citations · 191 across the 13 of their papers we have counts for
13 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…
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal +1
Social media is becoming a primary medium to discuss what is happening around the world. Therefore, the data generated by social media platforms contain rich information which desc…
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,…
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education
Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
We propose a heuristically modified FP-Tree for ontology learning from text. Unlike previous research, for concept extraction, we use a regular expression parser approach widely ad…
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles
Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
Deep neural networks have achieved state-of-art performance in many domains including computer vision, natural language processing and self-driving cars. However, they are very com…
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection
Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
Insider threat detection is getting an increased concern from academia, industry, and governments due to the growing number of malicious insider incidents. The existing approaches…
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
Khaled Fawagreh, Mohamad Medhat Gaber, Eyad Elyan
Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and…
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications
Khaled Fawagreh, Mohamad Medhat Gaber, Eyad Elyan
Random Forest (RF) is an ensemble supervised machine learning technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its…
A Survey of Data Mining Techniques for Social Media Analysis
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.…