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Neural Network Predictions of Protein Function
Non-conservative variational approximation for nonlinear Schrödinger equations and its applications
Novel Random Forest And Variable Importance Methods For Correlated Survival Data, With Applications To Tooth Prognosis
Novel Random Forest Methods Applied to Medical Studies
Novel random forest and variable importance methods for clustered data
Parallel Implementation of the Unified Curvilinear Ocean and Atmospheric (UCOAM) Model and Supporting Computational Environment
Parallellization of evoQSAR modeling framework and graphical user interface design using PyQt for drug design
Predicting glaucoma progression using random forests for correlated binary response based on longitudinally collected standard automated perimetry data
QoE driven multimedia service schemes in wireless networks resource allocation: Evolution from optimization, game theory, to economics
Quality driven modulation rate optimization for energy efficient wireless video networking
Quantifying disease severity of cystic fibrosis using linear quantile mixed models
Quantization of a low-density parity-check (LDPC) decoder : limited-precision digital design of the sum-product algorithm (SPA) for wireless voice and video communication channels
Regularization of singular sources for PSIC computations of particle-laden flows with shocks
Role of the microRNA miR-124 in the regulatory network governing PNS development in Ciona intestinalis
SEIRscape, an agent-based mosquito-human virus transmission framework, and the vector basis of dengue risk across Peru and Thailand
Semiparametric varying-coefficient mixed effects modeling approaches to longitudinal data
Simulated associating polymer networks
Stochastic iterative algorithms for large-scale data
Stochastic models for precipitable water in convection
Structure and rheological properties of self-associating polymer networks