Existing research mainly focuses on multi-class classification models. However, multi-label adversarial attacks are also worth attention. We propose a label-only attack framework for multi-label ...

Deep learning model for automated classification of catheter and tube positions in chest X-rays, achieving 93% accuracy across 11 position categories.

Please note that classification priorities can change quickly, and the expected dates of completion are only indicative at the time of publication. There is high demand for classification assessments, ...

The team developed a novel metasurface antenna capable of simultaneously generating and controlling multiple frequency components through software. This major advancement promises to enhance the ...

The Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 updates the Classification of Instructional Programs Canada 2016. It is used to classify instructional programs according to ...

Then take a deeper dive into the label to differentiate the real top-shelf stuff. Each bottle should list its country of origin. Just one country is a good sign, but multiple countries could be a ...

Gou, J.; Ji, L.; Liu, P.; and Ye, M. 2025. Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. In Proceedings of the AAAI ...

Specifically, multiple combinations of different ... as inputs to two considered multilabel classification networks. In addition, a parametric study on the probability thresholds of the networks to ...