2D universality of period-doubling bifurcations in 3D conservative reversible mappings S Komineas, MN Vrahatis, T Bountis Physica A: Statistical Mechanics and its Applications 211 (2-3), 218-233, 1994 | 3 | 1994 |
A chaos search immune algorithm with its application to neuro-fuzzy controller design XQ Zuo, YS Fan Chaos, Solitons & Fractals 30 (1), 94-109, 2006 | 103 | 2006 |
A chemical energy approach of avascular tumor growth: Multiscale modeling and qualitative results P Ampatzoglou, G Dassios, M Hadjinicolaou, HP Kourea, MN Vrahatis SpringerPlus 4 (660), 1-22, 2015 | 3 | 2015 |
A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods GD Magoulas, MN Vrahatis Neural, Parallel & Scientific Computations 8 (2), 147-168, 2000 | 7 | 2000 |
A class of gradient unconstrained minimization algorithms with adaptive stepsize MN Vrahatis, GS Androulakis, JN Lambrinos, GD Magoulas Journal of Computational and Applied Mathematics 114 (2), 367-386, 2000 | 169 | 2000 |
A clustering strategy for the key segmentation of musical audio MA Kaliakatsos-Papakostas, A Floros, MN Vrahatis Computer Music Journal 37 (1), 52-69, 2013 | 6 | 2013 |
A convergence-improving iterative method for computing periodic orbits near bifurcation points MN Vrahatis, T Bountis, N Budinsky Journal of Computational Physics 88 (1), 1-14, 1990 | 10 | 1990 |
A data mining approach in the analysis of the weight space of multilayer perceptron solving complex real world tasks S Adam, DA Karras, MN Vrahatis Ninth Industrial Conference on Data Mining, 38-52, 2009 | | 2009 |
A deep dense neural network for bankruptcy prediction SAN Alexandropoulos, CK Aridas, SB Kotsiantis, MN Vrahatis Communications in Computer and Information Science 1000, 435-444, 2019 | 25 | 2019 |
A derivative-free minimization method for noisy functions VP Plagianakos, MN Vrahatis Applied Mathematics 14 (Combinatorial and Global Optimization), 283-296, 2002 | 2 | 2002 |
A dimension-reducing method for solving systems of nonlinear equations in Rn TN Grapsa, MN Vrahatis International Journal of Computer Mathematics 32 (3-4), 205-216, 1990 | 28 | 1990 |
A dimension-reducing method for unconstrained optimization TN Grapsa, MN Vrahatis Journal of Computational and Applied Mathematics 66 (1-2), 239-253, 1996 | 27 | 1996 |
A fast and reliable method for distinguishing regular from chaotic motion in Hamiltonian systems C Antonopoulos, C Skokos, TC Bountis, MN Vrahatis Recent Advances in Mechanics and Related Fields, 325-333, 2003 | | 2003 |
A first study of fuzzy cognitive maps learning using particle swarm optimization KE Parsopoulos, EI Papageorgiou, PP Groumpos, MN Vrahatis IEEE Congress on Evolutionary Computation 2, 1440-1447, 2003 | 234 | 2003 |
A first study of the neural network approach to the RSA cryptosystem GC Meletiou, DK Tasoulis, MN Vrahatis International Conference on Artificial Intelligence and Soft Computing, 483-488, 2002 | 25 | 2002 |
A framework for the development of globally convergent adaptive learning rate algorithms GD MAGOULAS, VP PLAGIANAKOS, GS Androulakis, MN Vrahatis International Journal of Computer Research 10 (1), 1-10, 2001 | 9 | 2001 |
A generalized bisection method for large and imprecise problems MN Vrahatis Mathematical Research 90, 186-192, 1996 | 5 | 1996 |
A globally convergent Jacobi-bisection method for neural network training AD Anastasiadis, GD Magoulas, MN Vrahatis International Conference of Computational Methods in Sciences and …, 2019 | 4 | 2019 |
A method for computing families of periodic orbits based on unconstrained optimization MN Vrahatis, O Ragos, GS Androulakis Hamiltonian Systems with Three or More Degrees of Freedom, 642-645, 1999 | | 1999 |
A model for local convergence analysis of batch-type training algorithms with adaptive learning rates GD Magoulas, MN Vrahatis Recent Advances in Circuits and Systems, 321-326, 1998 | 1 | 1998 |