DNNs, while highly effective in tasks such as melanoma detection and cardiovascular disease prediction, often rely on ...

This dual focus on performance and explainability is crucial for aviation ... helping to improve flight safety and operational efficiency. Neural Networks: A set of algorithms modeled after ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

We trained the same neural network model on these newly defined groups, achieving an accuracy of 81%. We applied Shapley-based explainability analysis to determine the contribution of each feature to ...

The connection between neural networks and description logics is ... be interpreted through logical semantics, enhancing their explainability and reliability in decision-making processes.

However, the existing deep neural network models cannot effectively explicitly fuse critical stratigraphic information, which will restrict the physical explainability and correctness of the seismic ...

We welcome contributions that leverage EEG signals and apply machine learning or deep learning techniques to decode neural ...

AI-generated legal and regulatory content should be backed by structured legal databases to avoid misinformation and legal ...

One of the main problems of the EU AI Act is its risk-based approach to AI regulation. Under the Act, AI systems are ...