 | 2009 |
| 20 |  | Konstantinos Blekas,
K. Christodoulidou,
Isaac E. Lagaris:
Newtonian Spectral Clustering.
ICANN (2) 2009: 145-154 |
| 19 |  | Constantinos Voglis,
Isaac E. Lagaris:
Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain.
Applied Mathematics and Computation 213(1): 216-229 (2009) |
| 18 |  | Constantinos Voglis,
Panagiotis E. Hadjidoukas,
Isaac E. Lagaris,
D. G. Papageorgiou:
A numerical differentiation library exploiting parallel architectures.
Computer Physics Communications 180(8): 1404-1415 (2009) |
| 2008 |
| 17 |  | Isaac E. Lagaris,
Ioannis G. Tsoulos:
Stopping rules for box-constrained stochastic global optimization.
Applied Mathematics and Computation 197(2): 622-632 (2008) |
| 16 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
GenMin: An enhanced genetic algorithm for global optimization.
Computer Physics Communications 178(11): 843-851 (2008) |
| 15 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
MinFinder v2.0: An improved version of MinFinder.
Computer Physics Communications 179(8): 614-615 (2008) |
| 2007 |
| 14 |  | Konstantinos Blekas,
Isaac E. Lagaris:
Split-Merge Incremental LEarning (SMILE) of Mixture Models.
ICANN (2) 2007: 291-300 |
| 13 |  | S. A. Sofianos,
G. J. Rampho,
H. Azemtsa Donfack,
Isaac E. Lagaris,
H. Leeb:
Design of quantum filters with pre-determined reflection and transmission properties.
Microelectronics Journal 38(2): 235-244 (2007) |
| 12 |  | Konstantinos Blekas,
Isaac E. Lagaris:
Newtonian clustering: An approach based on molecular dynamics and global optimization.
Pattern Recognition 40(6): 1734-1744 (2007) |
| 2006 |
| 11 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
GenAnneal: Genetically modified Simulated Annealing.
Computer Physics Communications 174(10): 846-851 (2006) |
| 10 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
Genetically controlled random search: a global optimization method for continuous multidimensional functions.
Computer Physics Communications 174(2): 152-159 (2006) |
| 9 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
MinFinder: Locating all the local minima of a function.
Computer Physics Communications 174(2): 166-179 (2006) |
| 8 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris:
Solving differential equations with genetic programming.
Genetic Programming and Evolvable Machines 7(1): 33-54 (2006) |
| 2005 |
| 7 |  | Konstantinos Blekas,
Nikolas P. Galatsanos,
Aristidis Likas,
Isaac E. Lagaris:
Mixture model analysis of DNA microarray images.
IEEE Trans. Med. Imaging 24(7): 901-909 (2005) |
| 2002 |
| 6 |  | Ioannis G. Tsoulos,
Isaac E. Lagaris,
Aristidis Likas:
Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation.
SETN 2002: 314-324 |
| 1999 |
| 5 |  | Aristidis Likas,
Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm.
Neural Processing Letters 9(2): 119-127 (1999) |
| 1998 |
| 4 |  | Dimitris A. Karras,
Isaac E. Lagaris:
A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy.
EUROMICRO 1998: 20683-20687 |
| 3 |  | Aristidis Likas,
Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
CoRR cs.NE/9812002: (1998) |
| 2 |  | Isaac E. Lagaris,
Aristidis Likas,
D. G. Papageorgiou:
Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains
CoRR cs.NE/9812003: (1998) |
| 1 |  | Isaac E. Lagaris,
Aristidis Likas,
Dimitrios I. Fotiadis:
Artificial neural networks for solving ordinary and partial differential equations.
IEEE Transactions on Neural Networks 9(5): 987-1000 (1998) |