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Chris Christodoulou
2010 – today
- 2012
[j11]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)- [j10]Achilleas Koutsou, Chris Christodoulou, Guido Bugmann, Jacob Kanev: Distinguishing the Causes of Firing with the Membrane Potential Slope. Neural Computation 24(9): 2318-2345 (2012)
- [j9]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
- [j8]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)
- [j7]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)
- [j6]Chris Christodoulou, Aristodemos Cleanthous: Does High Firing Irregularity Enhance Learning? Neural Computation 23(3): 656-663 (2011)
- [j5]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)
- [c9]Ioannis Lambrou, Vassilis Vassiliades, Chris Christodoulou: An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL 2011: 261-272
- 2010
- [c8]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
- [c7]Vassilis Vassiliades, Chris Christodoulou: Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c6]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
- [c5]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
- [c4]Christina Draganova, Andreas Lanitis, Chris Christodoulou: Restoration of Partially Occluded Shapes of Faces Using Neural Networks. CORES 2005: 767-774
- 2002
- [j4]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)
- [j3]Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson: A spiking neuron model: applications and learning. Neural Networks 15(7): 891-908 (2002)
- 2001
- [j2]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
- [c3]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
1990 – 1999
- 1997
- [j1]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
- [c2]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
- [c1]Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor: The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN 1993: 465-470
Coauthor Index
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last updated on 2012-09-10 15:56 CEST by the dblp team