5 citations · 8 across the 4 of their papers we have counts for
4 papers
DAG Learning from Zero-Inflated Count Data Using Continuous Optimization
Noriaki Sato, Marco Scutari, Shuichi Kawano +2
We address network structure learning from zero-inflated count data by casting each node as a zero-inflated generalized linear model and optimizing a smooth, score-based objective…
Practical Causal Evaluation Metrics for Biological Networks
Noriaki Sato, Marco Scutari, Shuichi Kawano +2
Estimating causal networks from biological data is a critical step in systems biology. When evaluating the inferred network, assessing the networks based on their intervention effe…
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images
Zhikang Wang, Yumeng Zhang, Yingxue Xu +3
Histo-genomic multi-modal methods have recently emerged as a powerful paradigm, demonstrating significant potential for improving cancer prognosis. However, genome sequencing, unli…
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification
Zhikang Wang, Yue Bi, Tong Pan +6
Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology. A fundamental challenge of MIL on WSI classification is to d…