3 papers
cs.LG2023
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: a machine learning approach
Zhao Su, Rongxun Liu, Keyin Zhou +8
Objectives: The study aims to investigate the relationship between insomnia and response time. Additionally, it aims to develop a machine learning model to predict the presence of…
q-bio.MN2023
NetMoST: A network-based machine learning approach for subtyping schizophrenia using polygenic SNP allele biomarkers
Xinru Wei, Shuai Dong, Zhao Su +7
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the diagnosis and treatment of complex diseases. Subtyping schizophrenia is challenging because i…
eess.SY2023
Adaptive control of dynamic networks
Chunyu Pan, Xizhe Zhang, Haoyu Zheng +3
Real-world network systems are inherently dynamic, with network topologies undergoing continuous changes over time. Previous works often focus on static networks or rely on complet…