 | 2012 |
| 19 |  | Chrisina Jayne,
Andreas Lanitis,
Chris Christodoulou:
One-to-many neural network mapping techniques for face image synthesis.
Expert Syst. Appl. 39(10): 9778-9787 (2012) |
| 18 |  | Petros Kountouris,
Michalis Agathocleous,
Vasilis J. Promponas,
Georgia Christodoulou,
Simos Hadjicostas,
Vassilis Vassiliades,
Chris Christodoulou:
A Comparative Study on Filtering Protein Secondary Structure Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform. 9(3): 731-739 (2012) |
| 2011 |
| 17 |  | Ioannis Lambrou,
Vassilis Vassiliades,
Chris Christodoulou:
An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings.
EWRL 2011: 261-272 |
| 16 |  | Maria Moustra,
Marios Avraamides,
Chris Christodoulou:
Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals.
Expert Syst. Appl. 38(12): 15032-15039 (2011) |
| 15 |  | Vassilis Vassiliades,
Aristodemos Cleanthous,
Chris Christodoulou:
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma.
IEEE Transactions on Neural Networks 22(4): 639-653 (2011) |
| 14 |  | Chris Christodoulou,
Aristodemos Cleanthous:
Does High Firing Irregularity Enhance Learning?
Neural Computation 23(3): 656-663 (2011) |
| 13 |  | Chrisina Jayne,
Andreas Lanitis,
Chris Christodoulou:
Neural network methods for one-to-many multi-valued mapping problems.
Neural Computing and Applications 20(6): 775-785 (2011) |
| 2010 |
| 12 |  | Michalis Agathocleous,
Georgia Christodoulou,
Vasilis J. Promponas,
Chris Christodoulou,
Vassilis Vassiliades,
Antonis Antoniou:
Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?
AIAI 2010: 128-137 |
| 11 |  | Vassilis Vassiliades,
Chris Christodoulou:
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs.
IJCNN 2010: 1-8 |
| 2009 |
| 10 |  | Vassilis Vassiliades,
Aristodemos Cleanthous,
Chris Christodoulou:
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma.
ICANN (1) 2009: 737-746 |
| 2007 |
| 9 |  | Costas Neocleous,
Chris Christodoulou,
D. Demosthenous,
Aristodemos Cleanthous:
Neural networks for the identification of gas cylinder faults.
Artificial Intelligence and Applications 2007: 38-43 |
| 2005 |
| 8 |  | Christina Draganova,
Andreas Lanitis,
Chris Christodoulou:
Restoration of Partially Occluded Shapes of Faces Using Neural Networks.
CORES 2005: 767-774 |
| 2002 |
| 7 |  | Chris Christodoulou,
Guido Bugmann,
Trevor G. Clarkson:
A spiking neuron model: applications and learning.
Neural Networks 15(7): 891-908 (2002) |
| 6 |  | Chris Christodoulou:
On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition.
Neurocomputing 44-46: 81-84 (2002) |
| 2001 |
| 5 |  | Chris Christodoulou,
Guido Bugmann:
Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain?
Neurocomputing 38-40: 1141-1149 (2001) |
| 2000 |
| 4 |  | Chris Christodoulou,
Trevor G. Clarkson,
John G. Taylor,
Guido Bugmann:
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition.
IJCNN (3) 2000: 115-120 |
| 1997 |
| 3 |  | Guido Bugmann,
Chris Christodoulou,
John G. Taylor:
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset.
Neural Computation 9(5): 985-1000 (1997) |
| 1995 |
| 2 |  | Chris Christodoulou,
Trevor G. Clarkson:
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled.
IWANN 1995: 223-230 |
| 1993 |
| 1 |  | Chris Christodoulou,
Guido Bugmann,
Trevor G. Clarkson,
John G. Taylor:
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs.
IWANN 1993: 465-470 |