In artificial intelligence testing, there is an increased focus on enhancing the efficiency of test
prioritization methods within deep learning systems. Subsequently, the DeepAbstraction …

In Data-Centric Artificial Intelligence (DCAI), enhancing data quality takes precedence over
solely focusing on AI model improvements. This shift leads to massive unlabeled data …

The rapid adoption of deep neural networks (DNNs) has revolutionized machine learning in
several domains. As a result, thorough evaluation and validation of DNNs are crucial for …