76 citations · 83 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
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…