Tag: robustness

A newly developed expert scoring method evaluates how variations in postoperative delirium screening frequency and timing alter meta-analysis results.

A simulation study reveals that targeting just two supervisory hub nodes can trigger cascading failures across pumped storage power station ...

A systematic study reveals that gradient-based adversarial attacks can significantly distort explainable AI feature rankings in intrusion and malware detection ...

Researchers evaluated black-box adversarial attacks and inference-time defenses on a deep learning model for thyroid nodule segmentation in ultrasound images.

A new method called ASIR uses an inverse dynamics model to keep offline reinforcement learning agents within familiar state regions, ...

Deep learning models for tuberculosis screening suffer substantial diagnostic sensitivity losses and increased calibration error when evaluated on chest radiographs ...

A diagnostic evaluation of the frozen SparseDriveV2 planner reveals that safety failures under camera perturbations concentrate in narrow operational cells, ...

A new composite indicator method that treats expert opinions as constraints while minimizing ranking uncertainty produced child well-being and health ...

A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...

A new study finds that the robustness of shallow graph embedding methods for community detection under node deletion varies by ...