3 papers
cs.LG2026
Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer
Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1
Integrating complex, multi-omics data presents significant challenges. Existing approaches often face a trade-off between model interpretability and representational capacity, with…
cs.LG2025
Subset-Contrastive Multi-Omics Network Embedding
Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka
Motivation: Network-based analyses of omics data are widely used, and while many of these methods have been adapted to single-cell scenarios, they often remain memory- and space-in…
cs.CV2024
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou +2
Generalized few-shot semantic segmentation (GFSS) aims to segment objects of both base and novel classes, using sufficient samples of base classes and few samples of novel classes.…