Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes. - D. I. Sagias; E. N. Sarafis; Constantinos I. Siettos; George V. Bafas (Fuzzy Sets Syst., 2001)

Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods. - Constantinos I. Siettos; George V. Bafas (Fuzzy Sets Syst., 2002)

Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification. - Constantinos I. Siettos; George V. Bafas; Andreas G. Boudouvis (Fuzzy Sets Syst., 2002)

Time-steppers and coarse-grained control of microscopic distributed processes. - Antonios Armaou; Constantinos I. Siettos; Ioannis G. Kevrekidis (ACC, 2003)

Coarse bifurcation Diagrams via Microscopic Simulators: a State-Feedback Control-Based Approach. - Constantinos I. Siettos; Ioannis G. Kevrekidis; Dimitrios Maroudas (Int. J. Bifurc. Chaos, 2004)

Equation-free, coarse-grained feedback linearization. - Constantinos I. Siettos; Ioannis G. Kevrekidis; Nikolaos Kazantzis (ACC, 2005)

Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel". - Alex Alexandridis; Lucia Russo; Constantinos I. Siettos (Eur. J. Control, 2005)

A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations. - Constantinos I. Siettos; Ramiro Rico-Martínez; Ioannis G. Kevrekidis (Comput. Chem. Eng., 2006)

An equation-Free Approach to Nonlinear Control: Coarse Feedback Linearization with Pole-Placement. - Constantinos I. Siettos; Ioannis G. Kevrekidis; Nikolaos Kazantzis (Int. J. Bifurc. Chaos, 2006)

The influence of infection control policies: A systematic study of the dynamics of an individual-based epidemic model with isolation. - Andreas I. Reppas; Andreas C. Tsoumanis; Constantinos I. Siettos (BIBE, 2008)

A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990. - Alex Alexandridis; D. Vakalis; Constantinos I. Siettos; George V. Bafas (Appl. Math. Comput., 2008)

Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations - Konstantinos G. Spiliotis; Constantinos I. Siettos (CoRR, 2010)

Multiscale Computations on Neural Networks: from the Individual Neuron Interactions to the Macroscopic-Level Analysis. - Konstantinos G. Spiliotis; Constantinos I. Siettos (Int. J. Bifurc. Chaos, 2010)

Equation-Free Multiscale Computations in Social Networks: from Agent-Based Modeling to Coarse-Grained Stability and bifurcation Analysis. - Andreas C. Tsoumanis; Constantinos I. Siettos; George V. Bafas; Ioannis G. Kevrekidis (Int. J. Bifurc. Chaos, 2010)

Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action. - Foteini Protopapa; Dimitris S. Mylonas; Konstantinos G. Spiliotis; Constantinos I. Siettos; Nikolaos Smyrnis; Ioannis Evdokimidis (EMBC, 2011)

Equation-Free multiscale computational analysis of individual-based epidemic dynamics on networks. - Constantinos I. Siettos (Appl. Math. Comput., 2011)

On the effect of the path length and transitivity of small-world networks on epidemic dynamics - Andreas I. Reppas; Konstantinos G. Spiliotis; Constantinos I. Siettos (CoRR, 2011)

A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations. - Konstantinos G. Spiliotis; Constantinos I. Siettos (Neurocomputing, 2011)

Single-trial magnetoencephalography signals encoded as an unfolding decision process. - Nikolaos Smyrnis; Dimitris S. Mylonas; Roozbeh Rezaie; Constantinos I. Siettos; Errikos M. Ventouras; Periklis Y. Ktonas; Ioannis Evdokimidis; Andrew C. Papanicolaou (NeuroImage, 2012)

Can social microblogging be used to forecast intraday exchange rates? - Panagiotis Papaioannou; Lucia Russo; George Papaioannou; Constantinos I. Siettos (CoRR, 2013)

Complex Systems Modelling, Analysis, and Control. - Constantinos I. Siettos; Yannick De Decker; Georgios C. Georgiou (J. Appl. Math., 2013)

Coarse-grained computational stability analysis and acceleration of the collective dynamics of a Monte Carlo simulation of bacterial locomotion. - Constantinos I. Siettos (Appl. Math. Comput., 2014)

Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory. - Foteini Protopapa; Constantinos I. Siettos; Ioannis Evdokimidis; Nikolaos Smyrnis (Frontiers Comput. Neurosci., 2014)

Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model. - Andreas I. Reppas; Konstantinos G. Spiliotis; Constantinos I. Siettos (Math. Comput. Simul., 2015)

S&P500 Forecasting and trading using convolution analysis of major asset classes. - Panagiotis Papaioannou; Thomas Dionysopoulos; Lucia Russo; Francesco Giannino; Dietmar Janetzko; Constantinos I. Siettos (EUSPN/ICTH, 2017)

A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators. - Constantinos I. Siettos; Lucia Russo (CoRR, 2019)

Coarse-scale PDEs from fine-scale observations via machine learning. - Seungjoon Lee; Mahdi Kooshkbaghi; Konstantinos G. Spiliotis; Constantinos I. Siettos; Ioannis G. Kevrekidis (CoRR, 2019)

Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction. - Konstantinos G. Spiliotis; Lucia Russo; Francesco Giannino; Constantinos I. Siettos (CoRR, 2019)

EEG source localization analysis in epileptic children during a visual working-memory task. - Evangelos Galaris; Ioannis Gallos; Ivan Myatchin; Lieven Lagae; Constantinos I. Siettos (CoRR, 2020)

Construction of embedded fMRI resting state functional connectivity networks using manifold learning. - Ioannis Gallos; Evangelos Galaris; Constantinos I. Siettos (CoRR, 2020)

Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients. - Francesco Calabrò; Gianluca Fabiani; Constantinos I. Siettos (CoRR, 2020)

A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia. - Konstantinos G. Spiliotis; Giannis Kahramanoglou; Jens Starke; Nikolaos Smyrnis; Constantinos I. Siettos (CoRR, 2021)

Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. - Evangelos Galaris; Francesco Calabrò; Daniela di Serafino; Constantinos I. Siettos (CoRR, 2021)

Time Series Forecasting Using Manifold Learning. - Panagiotis Papaioannou; Ronen Talmon; Daniela di Serafino; Constantinos I. Siettos (CoRR, 2021)

Mathematical modelling and numerical bifurcation analysis of inbreeding and interdisciplinarity dynamics in academia. - Stefano Mazzoleni; Lucia Russo; Francesco Giannino; Gerardo Toraldo; Constantinos I. Siettos (J. Comput. Appl. Math., 2021)

Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines. - Gianluca Fabiani; Francesco Calabrò; Lucia Russo; Constantinos I. Siettos (J. Sci. Comput., 2021)

Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach. - Evangelos Galaris; Gianluca Fabiani; Ioannis Gallos; Ioannis G. Kevrekidis; Constantinos I. Siettos (CoRR, 2022)

Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach. - Antonis Armaou; Bryce Katch; Lucia Russo; Constantinos I. Siettos (CoRR, 2022)

Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs. - Gianluca Fabiani; Evangelos Galaris; Lucia Russo; Constantinos I. Siettos (CoRR, 2022)

Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data. - Seungjoon Lee; Yorgos M. Psarellis; Constantinos I. Siettos; Ioannis G. Kevrekidis (CoRR, 2022)

Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach. - Evangelos Galaris; Gianluca Fabiani; Ioannis Gallos; Ioannis G. Kevrekidis; Constantinos I. Siettos (J. Sci. Comput., 2022)

A numerical method for the approximation of stable and unstable manifolds of microscopic simulators. - Constantinos I. Siettos; Lucia Russo (Numer. Algorithms, 2022)

Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model. - Konstantinos G. Spiliotis; Lucia Russo; Francesco Giannino; Constantinos I. Siettos (CoRR, 2023)

Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. - Ioannis K. Gallos; Daniel Lehmberg; Felix Dietrich; Constantinos I. Siettos (CoRR, 2023)

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. - Gianluca Fabiani; Nikolaos Evangelou; Tianqi Cui; Juan M. Bello-Rivas; Cristina P. Martin-Linares; Constantinos I. Siettos; Ioannis G. Kevrekidis (CoRR, 2023)

Data-driven control of agent-based models: An Equation/Variable-free machine learning approach. - Dimitrios G. Patsatzis; Lucia Russo; Ioannis G. Kevrekidis; Constantinos I. Siettos (J. Comput. Phys., 2023)

Discrete-time nonlinear feedback linearization via physics-informed machine learning. - Hector Vargas Alvarez; Gianluca Fabiani; Nikolaos Kazantzis; Constantinos I. Siettos; Ioannis G. Kevrekidis (J. Comput. Phys., 2023)

Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks. - Hector Vargas Alvarez; Gianluca Fabiani; Ioannis G. Kevrekidis; Nikolaos Kazantzis; Constantinos I. Siettos (CoRR, 2024)

A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs. - Dimitrios G. Patsatzis; Lucia Russo; Constantinos I. Siettos (CoRR, 2024)

RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators. - Gianluca Fabiani; Ioannis G. Kevrekidis; Constantinos I. Siettos; Athanasios N. Yannacopoulos (CoRR, 2024)

Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps. - Alessandro Della Pia; Dimitrios G. Patsatzis; Lucia Russo; Constantinos I. Siettos (CoRR, 2024)

Fredholm Neural Networks. - Kyriakos Georgiou; Constantinos I. Siettos; Athanasios N. Yannacopoulos (CoRR, 2024)

Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations. - Gianluca Fabiani; Erik Bollt; Constantinos I. Siettos; Athanasios N. Yannacopoulos (CoRR, 2024)

Slow Invariant Manifolds of Fast-Slow Systems of ODEs with Physics-Informed Neural Networks. - Dimitrios G. Patsatzis; Lucia Russo; Constantinos I. Siettos (SIAM J. Appl. Dyn. Syst., 2024)

Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. - Dimitrios G. Patsatzis; Gianluca Fabiani; Lucia Russo; Constantinos I. Siettos (SIAM J. Sci. Comput., 2024)

RandONets: Shallow networks with random projections for learning linear and nonlinear operators. - Gianluca Fabiani; Ioannis G. Kevrekidis; Constantinos I. Siettos; Athanasios N. Yannacopoulos (J. Comput. Phys., 2025)

GoRINNs: Godunov-Riemann informed neural networks for learning hyperbolic conservation laws. - Dimitrios G. Patsatzis; Mario di Bernardo; Lucia Russo; Constantinos I. Siettos (J. Comput. Phys., 2025)

Enabling Local Neural Operators to perform Equation-Free System-Level Analysis. - Gianluca Fabiani; Hannes Vandecasteele; Somdatta Goswami; Constantinos I. Siettos; Ioannis G. Kevrekidis (CoRR, 2025)

A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems. - Dimitrios G. Patsatzis; Nikolaos Kazantzis; Ioannis G. Kevrekidis; Constantinos I. Siettos (CoRR, 2025)

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning. - Alessandro Della Pia; Dimitrios G. Patsatzis; Gianluigi Rozza; Lucia Russo; Constantinos I. Siettos (CoRR, 2025)

Fredholm Neural Networks for forward and inverse problems in elliptic PDEs. - Kyriakos Georgiou; Constantinos I. Siettos; Athanasios N. Yannacopoulos (CoRR, 2025)