17 citations · 30 across the 5 of their papers we have counts for
5 papers
On The Potential of The Fractal Geometry and The CNNs Ability to Encode it
Julia El Zini, Bassel Musharrafieh, Mariette Awad
The fractal dimension provides a statistical index of object complexity by studying how the pattern changes with the measuring scale. Although useful in several classification task…
Spatio-Temporal Graph Neural Networks: A Survey
Zahraa Al Sahili, Mariette Awad
Graph Neural Networks have gained huge interest in the past few years. These powerful algorithms expanded deep learning models to non-Euclidean space and were able to achieve state…
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction
Jihan Ghanim, Maha Issa, Mariette Awad
Building an accurate load forecasting model with minimal underpredictions is vital to prevent any undesired power outages due to underproduction of electricity. However, the power…
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
Julia El Zini, Mohammad Mansour, Mariette Awad
Current interpretability methods focus on explaining a particular model's decision through present input features. Such methods do not inform the user of the sufficient conditions…
The Power of Transfer Learning in Agricultural Applications: AgriNet
Zahraa Al Sahili, Mariette Awad
Advances in deep learning and transfer learning have paved the way for various automation classification tasks in agriculture, including plant diseases, pests, weeds, and plant spe…