Constantinos I. Siettos

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 32

Top Topics

Granger Causality

Monte Carlo Simulation

Numerical Solution

Top Venues

J. Comput. Phys.

J. Sci. Comput.

Math. Comput. Simul.

Publications

Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos I. Siettos, Athanasios N. Yannacopoulos
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators. CoRR (2024)
Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis, Nikolaos Kazantzis, Constantinos I. Siettos
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks. CoRR (2024)
Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. SIAM J. Sci. Comput. 46 (4) (2024)
Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs. CoRR (2024)
Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis
Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning. CoRR (2023)
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. CoRR (2023)
Konstantinos G. Spiliotis, Lucia Russo, Francesco Giannino, Constantinos I. Siettos
Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model. CoRR (2023)
Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. CoRR (2023)
Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich, Constantinos I. Siettos
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. CoRR (2023)
Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
Data-driven control of agent-based models: An Equation/Variable-free machine learning approach. J. Comput. Phys. 478 (2023)
Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis
Discrete-time nonlinear feedback linearization via physics-informed machine learning. J. Comput. Phys. 492 (2023)
Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, Ioannis G. Kevrekidis
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data. CoRR (2022)
Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos
Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach. J. Sci. Comput. 92 (2) (2022)
Constantinos I. Siettos, Lucia Russo
A numerical method for the approximation of stable and unstable manifolds of microscopic simulators. Numer. Algorithms 89 (3) (2022)
Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach. CoRR (2022)
Gianluca Fabiani, Evangelos Galaris, Lucia Russo, Constantinos I. Siettos
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs. CoRR (2022)
Antonis Armaou, Bryce Katch, Lucia Russo, Constantinos I. Siettos
Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach. CoRR (2022)
Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach. CoRR (2022)
Konstantinos G. Spiliotis, Giannis Kahramanoglou, Jens Starke, Nikolaos Smyrnis, Constantinos I. Siettos
A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia. CoRR (2021)
Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. CoRR (2021)
Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos
Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines. J. Sci. Comput. 89 (2) (2021)
Stefano Mazzoleni, Lucia Russo, Francesco Giannino, Gerardo Toraldo, Constantinos I. Siettos
Mathematical modelling and numerical bifurcation analysis of inbreeding and interdisciplinarity dynamics in academia. J. Comput. Appl. Math. 385 (2021)
Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines. CoRR (2021)
Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos
Time Series Forecasting Using Manifold Learning. CoRR (2021)
Evangelos Galaris, Ioannis Gallos, Ivan Myatchin, Lieven Lagae, Constantinos I. Siettos
EEG source localization analysis in epileptic children during a visual working-memory task. CoRR (2020)
Francesco Calabrò, Gianluca Fabiani, Constantinos I. Siettos
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients. CoRR (2020)
Ioannis Gallos, Evangelos Galaris, Constantinos I. Siettos
Construction of embedded fMRI resting state functional connectivity networks using manifold learning. CoRR (2020)
Konstantinos G. Spiliotis, Lucia Russo, Francesco Giannino, Constantinos I. Siettos
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction. CoRR (2019)
Constantinos I. Siettos, Lucia Russo
A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators. CoRR (2019)
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis
Coarse-scale PDEs from fine-scale observations via machine learning. CoRR (2019)
Panagiotis Papaioannou, Thomas Dionysopoulos, Lucia Russo, Francesco Giannino, Dietmar Janetzko, Constantinos I. Siettos
S&P500 Forecasting and trading using convolution analysis of major asset classes. EUSPN/ICTH (2017)
Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model. Math. Comput. Simul. 109 (2015)
Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model. CoRR (2014)
Constantinos I. Siettos
Coarse-grained computational stability analysis and acceleration of the collective dynamics of a Monte Carlo simulation of bacterial locomotion. Appl. Math. Comput. 232 (2014)
Foteini Protopapa, Constantinos I. Siettos, Ioannis Evdokimidis, Nikolaos Smyrnis
Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory. Frontiers Comput. Neurosci. 8 (2014)
Constantinos I. Siettos, Yannick De Decker, Georgios C. Georgiou
Complex Systems Modelling, Analysis, and Control. J. Appl. Math. 2013 (2013)
Panagiotis Papaioannou, Lucia Russo, George Papaioannou, Constantinos I. Siettos
Can social microblogging be used to forecast intraday exchange rates? CoRR (2013)
Nikolaos Smyrnis, Dimitris S. Mylonas, Roozbeh Rezaie, Constantinos I. Siettos, Errikos M. Ventouras, Periklis Y. Ktonas, Ioannis Evdokimidis, Andrew C. Papanicolaou
Single-trial magnetoencephalography signals encoded as an unfolding decision process. NeuroImage 59 (4) (2012)
Konstantinos G. Spiliotis, Constantinos I. Siettos
A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations. Neurocomputing 74 (17) (2011)
Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
On the effect of the path length and transitivity of small-world networks on epidemic dynamics CoRR (2011)
Foteini Protopapa, Dimitris S. Mylonas, Konstantinos G. Spiliotis, Constantinos I. Siettos, Nikolaos Smyrnis, Ioannis Evdokimidis
Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action. EMBC (2011)
Constantinos I. Siettos
Equation-Free multiscale computational analysis of individual-based epidemic dynamics on networks. Appl. Math. Comput. 218 (2) (2011)
Konstantinos G. Spiliotis, Constantinos I. Siettos
Multiscale Computations on Neural Networks: from the Individual Neuron Interactions to the Macroscopic-Level Analysis. Int. J. Bifurc. Chaos 20 (1) (2010)
Constantinos I. Siettos
Equation-Free Multiscale Computational Analysis of Individual-Based Epidemic Dynamics on Networks CoRR (2010)
Andreas C. Tsoumanis, Constantinos I. Siettos, George V. Bafas, Ioannis G. Kevrekidis
Equation-Free Multiscale Computations in Social Networks: from Agent-Based Modeling to Coarse-Grained Stability and bifurcation Analysis. Int. J. Bifurc. Chaos 20 (11) (2010)
Konstantinos G. Spiliotis, Constantinos I. Siettos
Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations CoRR (2010)
Konstantinos G. Spiliotis, Constantinos I. Siettos
Multiscale Computations on Neural Networks: From the Individual Neuron Interactions to the Macroscopic-Level Analysis CoRR (2009)
Andreas I. Reppas, Andreas C. Tsoumanis, Constantinos I. Siettos
The influence of infection control policies: A systematic study of the dynamics of an individual-based epidemic model with isolation. BIBE (2008)
Alex Alexandridis, D. Vakalis, Constantinos I. Siettos, George V. Bafas
A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990. Appl. Math. Comput. 204 (1) (2008)
Constantinos I. Siettos, Ramiro Rico-Martínez, Ioannis G. Kevrekidis
A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations. Comput. Chem. Eng. 30 (10-12) (2006)
Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis
An equation-Free Approach to Nonlinear Control: Coarse Feedback Linearization with Pole-Placement. Int. J. Bifurc. Chaos 16 (7) (2006)
Alex Alexandridis, Lucia Russo, Constantinos I. Siettos
Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel". Eur. J. Control 11 (3) (2005)
Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis
Equation-free, coarse-grained feedback linearization. ACC (2005)
Constantinos I. Siettos, Ioannis G. Kevrekidis, Dimitrios Maroudas
Coarse bifurcation Diagrams via Microscopic Simulators: a State-Feedback Control-Based Approach. Int. J. Bifurc. Chaos 14 (1) (2004)
Antonios Armaou, Constantinos I. Siettos, Ioannis G. Kevrekidis
Time-steppers and coarse-grained control of microscopic distributed processes. ACC (2003)
Constantinos I. Siettos, George V. Bafas
Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods. Fuzzy Sets Syst. 129 (3) (2002)
Constantinos I. Siettos, George V. Bafas, Andreas G. Boudouvis
Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification. Fuzzy Sets Syst. 126 (1) (2002)
D. I. Sagias, E. N. Sarafis, Constantinos I. Siettos, George V. Bafas
Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes. Fuzzy Sets Syst. 121 (1) (2001)