Artificial intelligence (AI) systems are trained to solve complex problems and learn to
perform specific tasks by using large volumes of data, such as prediction, classification …

Object detection models have become the current tool of choice for plant disease detection
in precision agriculture. Most existing research improved the performance by ameliorating …

Adversarial examples for deep neural networks (DNNs) are transferable: examples that
successfully fool one white-box surrogate model can also deceive other black-box models …

Due to huge investments by both the public and private sectors, artificial intelligence (AI) has
made tremendous progress in solving multiple real-world problems such as disease …

Recently, there has been a remarkable increase in the interest towards skeleton-based
action recognition within the research community, owing to its various advantageous …

Recent works demonstrated that imperceptible perturbations to input data, known as
adversarial examples, can mislead neural networks' output. Moreover, the same adversarial …

Noise, traditionally considered a nuisance in computational systems, is reconsidered for its
unexpected and counter-intuitive benefits across a wide spectrum of domains, including …

Object detection models have become the current tool of choice for plant disease detection
in precision agriculture. Most existing research improves the performance by ameliorating …

Object detection speed and accuracy are critical aspects of the perception system in
autonomous vehicles. Speed improvement helps the object detector model achieve …

Leaderboard systems allow researchers to objectively evaluate Natural Language
Processing (NLP) models and are typically used to identify models that exhibit superior …