Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Purpose The prediction of Airbnb listing prices predominantly uses a set of amenity-driven
features. Choosing an appropriate set of features from thousands of available amenity …

Content delivery networks (CDNs) play a pivotal role in the modern internet infrastructure by
enabling efficient content delivery across diverse geographical regions. As an essential …

Deep neural networks (DNNs) have obtained remarkable achievements in various vision
tasks. However, DNNs' mechanism remains obscure, especially in synthetic aperture radar …

Synthetic aperture radar (SAR) automatic target recognition (ATR) is a crucial technique
utilized in various scenarios of geoscience and remote sensing. Despite the remarkable …

The true potential of human-AI collaboration lies in exploiting the complementary
capabilities of humans and AI to achieve a joint performance superior to that of the individual …

This review provides a thorough examination of recent developments in artificial intelligence
analysis methods within mental and psychiatry field. By analyzing and comparing results …

We proposed in a previous work a geometric framework to study a deep neural network,
seen as sequence of maps between manifolds, employing singular Riemannian geometry …

Spam detection is a critical cybersecurity and information management task with significant
implications for security decision-making processes. Traditional machine learning …

Context-based offline meta-reinforcement learning (OMRL) methods have achieved
appealing success by leveraging pre-collected offline datasets to develop task …