121 citations · 193 across the 15 of their papers we have counts for
6 papers · 1 filter
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
Julia El Zini, Mariette Awad
Contrastive explanation methods go beyond transparency and address the contrastive aspect of explanations. Such explanations are emerging as an attractive option to provide actiona…
On the Explainability of Natural Language Processing Deep Models
Julia El Zini, Mariette Awad
While there has been a recent explosion of work on ExplainableAI ExAI on deep models that operate on imagery and tabular data, textual datasets present new challenges to the ExAI c…
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations
Julia El Zini, Mohamad Mansour, Basel Mousi +1
Current Explainable AI (ExAI) methods, especially in the NLP field, are conducted on various datasets by employing different metrics to evaluate several aspects. The lack of a comm…
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…
Towards Cross-Disaster Building Damage Assessment with Graph Convolutional Networks
Ali Ismail, Mariette Awad
In the aftermath of disasters, building damage maps are obtained using change detection to plan rescue operations. Current convolutional neural network approaches do not consider t…
BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge
Ali Ismail, Mariette Awad
Change detection is instrumental to localize damage and understand destruction in disaster informatics. While convolutional neural networks are at the core of recent change detecti…