Constantinos I. Siettos

Orcid: 0000-0002-9568-3355

According to our database1, Constantinos I. Siettos authored at least 49 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks.
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

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points.
CoRR, 2023

Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.
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

Time Series Forecasting Using Manifold Learning.
CoRR, 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

Coarse-scale PDEs from fine-scale observations via machine learning.
CoRR, 2019

A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators.
CoRR, 2019

2017
S&P500 Forecasting and trading using convolution analysis of major asset classes.
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
Complex Systems Modelling, Analysis, and Control.
J. Appl. Math., 2013

Can social microblogging be used to forecast intraday exchange rates?
CoRR, 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

Equation-free, coarse-grained feedback linearization.
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
Time-steppers and coarse-grained control of microscopic distributed processes.
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


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