The concept bottleneck model (CBM), as a technique improving interpretability via linking pre- dictions to human-understandable concepts, makes high-risk and life-critical medical image classification ...
Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
Abstract: Federated learning (FL) is a distributed machine learning framework that trains a global model with local model updates from multiple client devices. When learning from data streams, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results