 | 2008 |
| 15 |  | Philip A. Tresadern,
Sibylle B. Thies,
Laurence P. J. Kenney,
David Howard,
John Yannis Goulermas:
Rapid Prototyping for Functional Electrical Stimulation Control.
IEEE Pervasive Computing 7(2): 62-69 (2008) |
| 14 |  | Xiao-Jun Zeng,
John Yannis Goulermas,
Panos Liatsis,
Di Wang,
John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE T. Fuzzy Systems 16(5): 1197-1215 (2008) |
| 13 |  | John Yannis Goulermas,
A. H. Findlow,
C. J. Nester,
Panos Liatsis,
Xiao-Jun Zeng,
Laurence P. J. Kenney,
Philip A. Tresadern,
Sibylle B. Thies,
David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.
IEEE Transactions on Neural Networks 19(9): 1574-1582 (2008) |
| 12 |  | S. Nema,
John Yannis Goulermas,
G. Sparrow,
Phil Cook:
A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 38(6): 1 (2008) |
| 11 |  | Panos Liatsis,
M. A. Nazarboland,
John Yannis Goulermas,
Xiao-Jun Zeng,
E. Milonidis:
Automating the processing of cDNA microarray images.
IJISTA 5(1/2): 115-144 (2008) |
| 10 |  | John Yannis Goulermas,
Panos Liatsis,
Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing 72(1-3): 257-261 (2008) |
| 2007 |
| 9 |  | John Yannis Goulermas,
Panos Liatsis,
Xiao-Jun Zeng,
Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Transactions on Neural Networks 18(6): 1683-1696 (2007) |
| 8 |  | John Yannis Goulermas,
Xiao-Jun Zeng,
Panos Liatsis,
J. F. Ralph:
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(6): 1434-1445 (2007) |
| 2005 |
| 7 |  | John Yannis Goulermas,
Panos Liatsis,
Terrence Fernando:
A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem.
IEEE Trans. Circuits Syst. Video Techn. 15(4): 550-565 (2005) |
| 2003 |
| 6 |  | John Yannis Goulermas,
Panos Liatsis:
A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo.
IEEE Trans. Evolutionary Computation 7(5): 482-502 (2003) |
| 2002 |
| 5 |  | Amir R. Soltani,
Hissam Tawfik,
John Yannis Goulermas,
Terrence Fernando:
Path planning in construction sites: performance evaluation of the Dijkstra, A*, and GA search algorithms.
Advanced Engineering Informatics 16(4): 291-303 (2002) |
| 2001 |
| 4 |  | John Yannis Goulermas,
Panos Liatsis:
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence.
Pattern Recognition 34(12): 2477-2496 (2001) |
| 2000 |
| 3 |  | John Yannis Goulermas,
Panos Liatsis:
A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms.
Pattern Recognition 33(3): 529-531 (2000) |
| 1999 |
| 2 |  | John Yannis Goulermas,
Panos Liatsis:
Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform.
Pattern Anal. Appl. 2(3): 239-250 (1999) |
| 1998 |
| 1 |  | John Yannis Goulermas,
Panos Liatsis:
Genetically fine-tuning the Hough transform feature space, for the detection of circular objects.
Image Vision Comput. 16(9-10): 615-625 (1998) |