Constantinos I. Siettos
Orcid: 0000-0002-9568-3355
According to our database1,
Constantinos I. Siettos
authored at least 56 papers
between 2001 and 2025.
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Bibliography
2025
RandONets: Shallow networks with random projections for learning linear and nonlinear operators.
J. Comput. Phys., 2025
2024
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.
SIAM J. Sci. Comput., 2024
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws.
CoRR, 2024
Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations.
CoRR, 2024
Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps.
CoRR, 2024
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators.
CoRR, 2024
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs.
CoRR, 2024
2023
Discrete-time nonlinear feedback linearization via physics-informed machine learning.
J. Comput. Phys., November, 2023
Data-driven control of agent-based models: An Equation/Variable-free machine learning approach.
J. Comput. Phys., April, 2023
CoRR, 2023
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator.
CoRR, 2023
Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model.
CoRR, 2023
2022
A numerical method for the approximation of stable and unstable manifolds of microscopic simulators.
Numer. Algorithms, 2022
Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach.
J. Sci. Comput., 2022
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data.
CoRR, 2022
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs.
CoRR, 2022
Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach.
CoRR, 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach.
CoRR, 2022
2021
Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines.
J. Sci. Comput., 2021
Mathematical modelling and numerical bifurcation analysis of inbreeding and interdisciplinarity dynamics in academia.
J. Comput. Appl. Math., 2021
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks.
CoRR, 2021
A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia.
CoRR, 2021
2020
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients.
CoRR, 2020
Construction of embedded fMRI resting state functional connectivity networks using manifold learning.
CoRR, 2020
EEG source localization analysis in epileptic children during a visual working-memory task.
CoRR, 2020
2019
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction.
CoRR, 2019
A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators.
CoRR, 2019
2017
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017
2015
Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model.
Math. Comput. Simul., 2015
2014
Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory.
Frontiers Comput. Neurosci., 2014
Coarse-grained computational stability analysis and acceleration of the collective dynamics of a Monte Carlo simulation of bacterial locomotion.
Appl. Math. Comput., 2014
2013
2012
Single-trial magnetoencephalography signals encoded as an unfolding decision process.
NeuroImage, 2012
2011
A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations.
Neurocomputing, 2011
On the effect of the path length and transitivity of small-world networks on epidemic dynamics
CoRR, 2011
Equation-Free multiscale computational analysis of individual-based epidemic dynamics on networks.
Appl. Math. Comput., 2011
Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Equation-Free Multiscale Computations in Social Networks: from Agent-Based Modeling to Coarse-Grained Stability and bifurcation Analysis.
Int. J. Bifurc. Chaos, 2010
Multiscale Computations on Neural Networks: from the Individual Neuron Interactions to the Macroscopic-Level Analysis.
Int. J. Bifurc. Chaos, 2010
Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations
CoRR, 2010
2008
A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990.
Appl. Math. Comput., 2008
The influence of infection control policies: A systematic study of the dynamics of an individual-based epidemic model with isolation.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2006
An equation-Free Approach to Nonlinear Control: Coarse Feedback Linearization with Pole-Placement.
Int. J. Bifurc. Chaos, 2006
A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations.
Comput. Chem. Eng., 2006
2005
Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel".
Eur. J. Control, 2005
Proceedings of the American Control Conference, 2005
2004
Coarse bifurcation Diagrams via Microscopic Simulators: a State-Feedback Control-Based Approach.
Int. J. Bifurc. Chaos, 2004
2003
Proceedings of the American Control Conference, 2003
2002
Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification.
Fuzzy Sets Syst., 2002
Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods.
Fuzzy Sets Syst., 2002
2001
Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes.
Fuzzy Sets Syst., 2001