3 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos +3
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to…
REP: Predicting the Time-Course of Drug Sensitivity
Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
The biological processes involved in a drug's mechanisms of action are oftentimes dynamic, complex and difficult to discern. Time-course gene expression data is a rich source of in…
Nonlinear System Identification via Tensor Completion
Nikos Kargas, Nicholas D. Sidiropoulos
Function approximation from input and output data pairs constitutes a fundamental problem in supervised learning. Deep neural networks are currently the most popular method for lea…
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1
The sum-of-correlations (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dimensional representations of different views via max…