3 papers
q-bio.GN2026
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
Zheming Xing, Siyuan Zhou, Ruinan Wang +9
Accurate prediction of synthetic lethality (SL) is important for guiding the development of cancer drugs and therapies. SL prediction faces significant challenges in the effective…
cs.LG2025
Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
Ruinan Wang, Ian Nabney, Mohammad Golbabaee
Hyperparameter optimization (HPO) is a critical component of machine learning pipelines, significantly affecting model robustness, stability, and generalization. However, HPO is of…
cs.LG2024
Efficient Hyperparameter Importance Assessment for CNNs
Ruinan Wang, Ian Nabney, Mohammad Golbabaee
Hyperparameter selection is an essential aspect of the machine learning pipeline, profoundly impacting models' robustness, stability, and generalization capabilities. Given the com…