| Mixed Time-Delayed Nonlinear Multi-agent Dynamic Systems for Asymptotic Stability and Non-fragile Synchronization Criteria | 0 | 0.34 | 2022 |
| Imaging of nonlinear and dynamic functional brain connectivity based on EEG recordings with the application on the diagnosis of Alzheimer's disease. | 0 | 0.34 | 2020 |
| NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis. | 0 | 0.34 | 2019 |
| Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. | 0 | 0.34 | 2019 |
| A novel logistic-NARX model as a classifier for dynamic binary classification. | 1 | 0.36 | 2019 |
| A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking. | 17 | 0.61 | 2017 |
| Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. | 9 | 0.55 | 2016 |
| A parametric frequency response method for non-linear time-varying systems | 2 | 0.42 | 2014 |
| A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. | 3 | 0.50 | 2013 |
| A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm. | 6 | 0.86 | 2012 |
| Characterizing Nonlinear Spatio-Temporal Systems In The Frequency Domain | 0 | 0.34 | 2012 |
| A Simple Scalar Coupled Map Lattice Model For Excitable Media | 0 | 0.34 | 2011 |
| Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions | 10 | 0.64 | 2011 |
| Bayesian identification of stochastic linear systems with observations at multiple scales | 1 | 0.48 | 2011 |
| Towards modelling complex robot training tasks through system identification | 3 | 0.39 | 2010 |
| Identification Of Excitable Media Using A Scalar Coupled Map Lattice Model | 4 | 0.56 | 2010 |
| An application of Lyapunov stability analysis to improve the performance of NARMAX models | 2 | 0.41 | 2010 |
| Model identification and model analysis in robot training | 3 | 0.47 | 2008 |
| Neighborhood detection for the identification of spatiotemporal systems. | 3 | 0.44 | 2008 |
| Robot training using system identification | 5 | 0.56 | 2008 |
| Accurate robot simulation through system identification | 5 | 0.48 | 2008 |
| Development of spatiotemporal validation methods of an agent-based model of epithelial cells: analysis of a colony of keratinocytes | 0 | 0.34 | 2008 |
| Visual task identification and characterization using polynomial models | 8 | 1.08 | 2007 |
| Task identification and characterisation in mobile robotics through non-linear modelling | 4 | 0.64 | 2007 |
| Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach | 6 | 0.76 | 2007 |
| Output frequency response function of nonlinear Volterra systems | 13 | 1.65 | 2007 |
| Model Validation Of Spatiotemporal Systems Using Correlation Function Tests | 0 | 0.34 | 2007 |
| Neighborhood detection using mutual information for the identification of cellular automata | 11 | 0.86 | 2006 |
| Identification of Partial Differential Equation Models for Continuous Spatio-Temporal Dynamical Systems | 9 | 0.93 | 2006 |
| Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models | 4 | 0.46 | 2006 |
| A New Fast Cellular Automata Orthogonal Least-Squares Identification Method | 6 | 0.95 | 2005 |
| A Comparison Of Polynomial And Wavelet Expansions For The Identification Of Chaotic Coupled Map Lattices | 1 | 0.65 | 2005 |
| Identification of probabilistic cellular automata | 13 | 1.58 | 2003 |
| Identification Of Coupled Map Lattice Models Of Deterministic Distributed Parameter Systems | 12 | 1.30 | 2002 |
| Extracting Boolean rules from CA patterns. | 11 | 3.09 | 2000 |
| Dynamic Wavelet and Equivalent Models | 1 | 0.63 | 2000 |
| Neighborhood detection and rule selection from cellular automata patterns | 9 | 1.77 | 2000 |
| A Regularized Rational Model Estimation Algorithm | 2 | 0.39 | 1999 |
| Variable neural networks for adaptive control of nonlinear systems | 47 | 3.83 | 1999 |
| Structure Detection For Nonlinear Rational Models Using Genetic Algorithms | 1 | 0.38 | 1998 |
| On-line Structure Detection and Parameter Estimation with Exponential Windowing for Nonlinear Systems | 5 | 0.74 | 1996 |
| Adaptive model selection and estimation for nonlinear systems using a sliding data window | 2 | 0.66 | 1995 |
| SWITCHER: a stereo algorithm for ground plane obstacle detection | 10 | 3.84 | 1989 |
| Identification of systems containing linear dynamic and static nonlinear elements | 116 | 23.97 | 1982 |
