Estimating parameters and hidden states in biological networks with particle filters
Learning Models, Supermodels, and Ensemble Models of Dynamic Systems
Estimating Parameters and Hidden Variables in a Non-linear State-space Model of Regulatory Networks
Synthetic biology challenges for the creation and modification of biological systems
Robustness properties of support vector machines and related methods
Flow-based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Network
Feature Selection for Support Vector Regression Using Probabilistic Prediction
Automated Selection of Social Media Responses to News
Automatic group happiness intensity analysis
Dynamics on and of Biological Networks: Case Studies on the Machinery of Life