Application of artificial neural networks to model the interaction between T-cells and B-cells and their equivalent impedance of the linearized modelGiannoukos, Georgios; Min, MartJournal of computational methods in sciences and engineering2015 / p. 295-302 http://dx.doi.org/10.3233/JCM-150544

Effective algebraic analysis approach to linear systems over Ore algebrasCluzeau, T.; Koutschan, C.; Quadrat, A.; Tõnso, MarisAlgebraic and symbolic computation methods in dynamical systems2020 / p. 3-52 https://doi.org/10.1007/978-3-030-38356-5_1

Mathematical and physical modelling of the dynamic electrical impedance both of a healthy neuron and one affected by Parkinson’s diseaseGiannoukos, GeorgiosAdvances in applied information science : proceedings of the 12th WSEAS International Conference on Applied Informatics and Communications (AIC '12) : proceedings of the 5th WSEAS International Conference on Biomedical Electronics and Biomedical Informatics (BEBI '12) : Istanbul, Turkey, August 21-23, 20122012 / p. 79-84 : ill https://www.researchgate.net/publication/264128963_Mathematical_and_Physical_Modelling_of_the_Dynamic_Electrical_Impedance_of_a_Neuron

Mathematical and physical modelling of the dynamic fluidic impedance of arteries using electrical impedance equivalentsGiannoukos, Georgios; Min, MartMathematical methods in the applied sciences2013 / p. 1-7 : ill

NLControl - a mathematica package for nonlinear control systemsKotta, Ülle; Tõnso, MarisIFAC-PapersOnLine2017 / p. 681-686 https://doi.org/10.1016/j.ifacol.2017.08.122

Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedanceGiannoukos, Georgios; Min, MartProceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 20142015 / p. 850001-1 - 850001-4 http://dx.doi.org/10.1063/1.4913056