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Chris Christodoulou
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2020 – today
- 2024
- [j24]Andriani Nikodemou, Chris Christodoulou
:
Deconstructing emotions in self-control through computational modeling. Cogn. Syst. Res. 88: 101294 (2024) - 2023
- [j23]Chris Christodoulou
Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington. Biosyst. 223: 104818 (2023) - [c14]Konstantinos Christou
Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. GECCO Companion 2023: 639-642 - 2022
- [j22]Konstantinos Charalampous
Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm. IEEE Access 10: 27759-27770 (2022) - 2020
- [j21]Chris Christodoulou
Editorial. Biosyst. 187 (2020)
2010 – 2019
- 2018
- [c13]Antreas Dionysiou
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification. ICANN (2) 2018: 444-455 - 2017
- [j20]Chris Christodoulou
Editorial. Biosyst. 161: 1-2 (2017) - [j19]Christina Zavou, Antria Kkoushi, Achilleas Koutsou, Chris Christodoulou
Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data. Biosyst. 161: 46-56 (2017) - 2016
- [j18]Jacob Kanev, Achilleas Koutsou, Chris Christodoulou
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Comput. 28(10): 2091-2128 (2016) - [j17]Vassilis Vassiliades
Behavioral plasticity through the modulation of switch neurons. Neural Networks 74: 35-51 (2016) - [c12]Michalis Agathocleous, Chris Christodoulou
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. ICANN (1) 2016: 123-131 - 2015
- [j16]Philippe Lucas, Jean-Pierre Rospars, Chris Christodoulou
Editorial. Biosyst. 136: 1-2 (2015) - [j15]Achilleas Koutsou, Guido Bugmann, Chris Christodoulou
On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. Biosyst. 136: 80-89 (2015) - 2013
- [j14]Vassilis Vassiliades
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Comput. 25(11): 3020-3043 (2013) - 2012
- [j13]Chrisina Jayne
One-to-many neural network mapping techniques for face image synthesis. Expert Syst. Appl. 39(10): 9778-9787 (2012) - [j12]Achilleas Koutsou, Chris Christodoulou
Distinguishing the Causes of Firing with the Membrane Potential Slope. Neural Comput. 24(9): 2318-2345 (2012) - [j11]Petros Kountouris
A Comparative Study on Filtering Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 731-739 (2012) - [c11]Chrisina Jayne
Automatic Landmark Location for Analysis of Cardiac MRI Images. EANN 2012: 203-212 - 2011
- [j10]Maria Moustra, Marios N. 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) - [j9]Chrisina Jayne
Neural network methods for one-to-many multi-valued mapping problems. Neural Comput. Appl. 20(6): 775-785 (2011) - [j8]Chris Christodoulou
Does High Firing Irregularity Enhance Learning? Neural Comput. 23(3): 656-663 (2011) - [j7]Vassilis Vassiliades
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Trans. Neural Networks 22(4): 639-653 (2011) - [c10]Ioannis Lambrou, Vassilis Vassiliades
An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL 2011: 261-272 - 2010
- [c9]Michalis Agathocleous, Georgia Christodoulou, Vasilis J. Promponas
Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AIAI 2010: 128-137 - [c8]Vassilis Vassiliades
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c7]Chrisina Draganova, Andreas Lanitis
Isolating Stock Prices Variation with Neural Networks. EANN 2009: 401-408 - [c6]Vassilis Vassiliades
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, Demos 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 - 2004
- [j6]Andreas Lanitis
Comparing different classifiers for automatic age estimation. IEEE Trans. Syst. Man Cybern. Part B 34(1): 621-628 (2004) - 2002
- [j5]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) - [j4]Chris Christodoulou
A spiking neuron model: applications and learning. Neural Networks 15(7): 891-908 (2002) - 2001
- [j3]Chris Christodoulou
Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain? Neurocomputing 38-40: 1141-1149 (2001) - [j2]Trevor G. Clarkson, Chris Christodoulou
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 65-76 (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
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Comput. 9(5): 985-1000 (1997) - 1995
- [c2]Chris Christodoulou
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. IWANN 1995: 223-230 - 1993
- [c1]Chris Christodoulou
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN 1993: 465-470
Coauthor Index
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