33 citations · 97 across the 6 of their papers we have counts for
6 papers
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
Chao Zhang, Jaswanth Yella, Yu Huang +4
With the rapid development of AI technology in recent years, there have been many studies with deep learning models in soft sensing area. However, the models have become more compl…
Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas
Chao Zhang, Hanxin Zhang, Atif Khan +8
Importance: Lower-resource areas in Africa and Asia face a unique set of healthcare challenges: the dual high burden of communicable and non-communicable diseases; a paucity of hig…
Detecting signal from science:The structure of research communities and prior knowledge improves prediction of genetic regulatory experiments
Alexander V. Belikov, Andrey Rzhetsky, James Evans
The explosive growth of scientists, scientific journals, articles and findings in recent years exponentially increases the difficulty scientists face in navigating prior knowledge.…
Centralized "big science" communities more likely generate non-replicable results
Valentin Danchev, Andrey Rzhetsky, James A. Evans
Growing concern that most published results, including those widely agreed upon, may be false are rarely examined against rapidly expanding research production. Replications have o…
RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning
Ji-Sung Kim, Xin Gao, Andrey Rzhetsky
Anonymized electronic medical records are an increasingly popular source of research data. However, these datasets often lack race and ethnicity information. This creates problems…
Tradition and Innovation in Scientists' Research Strategies
Jacob G. Foster, Andrey Rzhetsky, James A. Evans
What factors affect a scientist's choice of research problem? Qualitative research in the history, philosophy, and sociology of science suggests that this choice is shaped by an "e…