Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...

Abstract: Multi-label classification (MLC) tasks aim at assigning multiple labels to each sample and are widely used to deal with scenarios where the sample contains multiple objects or concepts.

Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive cyberattack crippled certain systems for weeks. The policy announced Wednesday ...