Chris Christodoulou
Orcid: 0000-0001-9398-5256
According to our database1,
Chris Christodoulou
authored at least 39 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Cogn. Syst. Res., 2024
Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer's Disease in Brain MRI.
IEEE Access, 2024
2023
Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington.
Biosyst., January, 2023
Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm.
IEEE Access, 2022
2020
2018
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data.
Biosyst., 2017
2016
Neural Networks, 2016
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode.
Neural Comput., 2016
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2015
On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron.
Biosyst., 2015
2013
Neural Comput., 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Neural Comput., 2012
Expert Syst. Appl., 2012
Proceedings of the Engineering Applications of Neural Networks, 2012
2011
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma.
IEEE Trans. Neural Networks, 2011
Neural Comput. Appl., 2011
Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals.
Expert Syst. Appl., 2011
An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
2010
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs.
Proceedings of the International Joint Conference on Neural Networks, 2010
Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?
Proceedings of the Artificial Intelligence Applications and Innovations, 2010
2009
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Engineering Applications of Neural Networks, 2009
2007
Neural networks for the identification of gas cylinder faults.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
2005
Proceedings of the Computer Recognition Systems, 2005
2004
IEEE Trans. Syst. Man Cybern. Part B, 2004
2002
On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition.
Neurocomputing, 2002
2001
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures.
IEEE Trans. Syst. Man Cybern. Syst., 2001
Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain?
Neurocomputing, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1997
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset.
Neural Comput., 1997
1995
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled.
Proceedings of the From Natural to Artificial Neural Computation, 1995
1993
Proceedings of the New Trends in Neural Computation, 1993