Machine Learning 12
- Confusion Matrix: Overview and Applications
- RiftNet: Application of RiftNet for Signal Classification
- UNet: Architecture and Applications in Image Segmentation
- YOLOv8: Overview
- Faster R-CNN: Overview
- FedPAC: Personalized federated learning with feature alignment and classifier collaboration
- MoCoSFL: ENABLING CROSS-CLIENT COLLABORATIVE SELF-SUPERVISED LEARNING
- Federated Learning: An Overview
- Metric Learning: Learning Distances in Feature Space
- Representation Learning: Learning Features for Feature Extractors
- Multi-Task Learning with R-CNN-based Models
- APLS: Average Path Length Similarity