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Journal Articles
- 2025
[j25]Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos I. Siettos
, Athanasios N. Yannacopoulos:
RandONets: Shallow networks with random projections for learning linear and nonlinear operators. J. Comput. Phys. 520: 113433 (2025)- 2024
- [j24]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): 297- (2024) - 2023
- [j23]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: 111953 (2023) - [j22]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: 112408 (2023) - 2022
- [j21]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): 34 (2022) - [j20]Constantinos I. Siettos, Lucia Russo:
A numerical method for the approximation of stable and unstable manifolds of microscopic simulators. Numer. Algorithms 89(3): 1335-1368 (2022) - 2021
- [j19]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: 113194 (2021) - [j18]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): 44 (2021) - 2015
- [j17]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: 186-196 (2015) - 2014
- [j16]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: 836-847 (2014) - [j15]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: 146 (2014) - 2013
- [j14]Constantinos I. Siettos, Yannick De Decker, Georgios C. Georgiou:
Complex Systems Modelling, Analysis, and Control. J. Appl. Math. 2013: 508176:1-508176:2 (2013) - 2012
- [j13]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): 3604-3610 (2012) - 2011
- [j12]Constantinos I. Siettos:
Equation-Free multiscale computational analysis of individual-based epidemic dynamics on networks. Appl. Math. Comput. 218(2): 324-336 (2011) - [j11]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): 3576-3589 (2011) - 2010
- [j10]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): 121-134 (2010) - [j9]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): 3673-3688 (2010) - 2008
- [j8]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): 191-201 (2008) - 2006
- [j7]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): 1632-1642 (2006) - [j6]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): 2029-2041 (2006) - 2005
- [j5]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): 222-228 (2005) - 2004
- [j4]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): 207-220 (2004) - 2002
- [j3]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): 89-104 (2002) - [j2]Constantinos I. Siettos, George V. Bafas:
Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods. Fuzzy Sets Syst. 129(3): 275-294 (2002) - 2001
- [j1]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): 169-179 (2001)
Conference and Workshop Papers
- 2017
- [c5]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: 484-489 - 2011
- [c4]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: 5896-5899 - 2008
- [c3]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: 1-7 - 2005
- [c2]Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis:
Equation-free, coarse-grained feedback linearization. ACC 2005: 2554-2558 - 2003
- [c1]Antonios Armaou, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Time-steppers and coarse-grained control of microscopic distributed processes. ACC 2003: 1328-1334
Informal and Other Publications
- 2024
- [i32]Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis, Nikolaos Kazantzis, Constantinos I. Siettos:
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks. CoRR abs/2402.12360 (2024) - [i31]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 abs/2403.11591 (2024) - [i30]Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos I. Siettos, Athanasios N. Yannacopoulos:
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators. CoRR abs/2406.05470 (2024) - [i29]Alessandro Della Pia, Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos:
Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps. CoRR abs/2408.02630 (2024) - [i28]Kyriakos Georgiou, Constantinos I. Siettos, Athanasios N. Yannacopoulos:
Fredholm Neural Networks. CoRR abs/2408.09484 (2024) - [i27]Gianluca Fabiani, Erik Bollt, Constantinos I. Siettos, Athanasios N. Yannacopoulos:
Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations. CoRR abs/2408.15393 (2024) - 2023
- [i26]Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning. CoRR abs/2303.08884 (2023) - [i25]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 abs/2303.13248 (2023) - [i24]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 abs/2304.11925 (2023) - [i23]Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos:
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. CoRR abs/2309.07946 (2023) - [i22]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 abs/2309.14334 (2023) - 2022
- [i21]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 abs/2201.13323 (2022) - [i20]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 abs/2202.00924 (2022) - [i19]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 abs/2203.05337 (2022) - [i18]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 abs/2205.13545 (2022) - [i17]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 abs/2207.05779 (2022) - 2021
- [i16]Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos:
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines. CoRR abs/2104.06116 (2021) - [i15]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 abs/2107.09360 (2021) - [i14]Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos:
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. CoRR abs/2108.01584 (2021) - [i13]Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos:
Time Series Forecasting Using Manifold Learning. CoRR abs/2110.03625 (2021) - 2020
- [i12]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 abs/2005.11186 (2020) - [i11]Ioannis Gallos, Evangelos Galaris, Constantinos I. Siettos:
Construction of embedded fMRI resting state functional connectivity networks using manifold learning. CoRR abs/2005.12390 (2020) - [i10]Francesco Calabrò, Gianluca Fabiani, Constantinos I. Siettos:
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients. CoRR abs/2012.05871 (2020) - 2019
- [i9]Constantinos I. Siettos, Lucia Russo:
A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators. CoRR abs/1909.03241 (2019) - [i8]Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Coarse-scale PDEs from fine-scale observations via machine learning. CoRR abs/1909.05707 (2019) - [i7]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 abs/1910.12270 (2019) - 2014
- [i6]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 abs/1412.2290 (2014) - 2013
- [i5]Panagiotis Papaioannou, Lucia Russo, George Papaioannou, Constantinos I. Siettos:
Can social microblogging be used to forecast intraday exchange rates? CoRR abs/1310.5306 (2013) - 2011
- [i4]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 abs/1102.5420 (2011) - 2010
- [i3]Konstantinos G. Spiliotis, Constantinos I. Siettos:
Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations. CoRR abs/1010.5113 (2010) - [i2]Constantinos I. Siettos:
Equation-Free Multiscale Computational Analysis of Individual-Based Epidemic Dynamics on Networks. CoRR abs/1012.4194 (2010) - 2009
- [i1]Konstantinos G. Spiliotis, Constantinos I. Siettos:
Multiscale Computations on Neural Networks: From the Individual Neuron Interactions to the Macroscopic-Level Analysis. CoRR abs/0903.2641 (2009)
Coauthor Index
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