Chris Christodoulou

39 papers B 1C 2Misc 3Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer's Disease in Brain MRI. IEEE Access Marios Pafitis, Maria Constantinou, Chris Christodoulou
2024	J	`jnl`	Deconstructing emotions in self-control through computational modeling. Cogn. Syst. Res. Andriani Nikodemou, Chris Christodoulou
2023	J	`jnl`	Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington. Biosyst. Chris Christodoulou, Giuseppe D'Onofrio, Michael Stiber, Alessandro E. P. Villa
2023	—	`conf`	Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. GECCO Companion Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades
2022	J	`jnl`	Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm. IEEE Access Konstantinos Charalampous, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas
2020	J	`jnl`	Editorial. Biosyst. Chris Christodoulou, Lubomir Kostal, Laura Sacerdote
2018	—	`conf`	Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification. ICANN (2) Antreas Dionysiou, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas
2017	J	`jnl`	Editorial. Biosyst. Chris Christodoulou, Lubomir Kostal, Ansgar Büschges
2017	J	`jnl`	Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data. Biosyst. Christina Zavou, Antria Kkoushi, Achilleas Koutsou, Chris Christodoulou
2016	J	`jnl`	Behavioral plasticity through the modulation of switch neurons. Neural Networks Vassilis Vassiliades, Chris Christodoulou
2016	J	`jnl`	Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Comput. Jacob Kanev, Achilleas Koutsou, Chris Christodoulou, Klaus Obermayer
2016	—	`conf`	Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. ICANN (1) Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas, Petros Kountouris, Vassilis Vassiliades
2015	J	`jnl`	Editorial. Biosyst. Philippe Lucas, Jean-Pierre Rospars, Chris Christodoulou
2015	J	`jnl`	On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. Biosyst. Achilleas Koutsou, Guido Bugmann, Chris Christodoulou
2013	J	`jnl`	Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Comput. Vassilis Vassiliades, Chris Christodoulou
2012	J	`jnl`	A Comparative Study on Filtering Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Petros Kountouris, Michalis Agathocleous, Vasilis J. Promponas, Georgia Christodoulou, Simos Hadjicostas, Vassilis Vassiliades, Chris Christodoulou
2012	C	`conf`	Automatic Landmark Location for Analysis of Cardiac MRI Images. EANN Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
2012	J	`jnl`	Distinguishing the Causes of Firing with the Membrane Potential Slope. Neural Comput. Achilleas Koutsou, Chris Christodoulou, Guido Bugmann, Jacob Kanev
2012	J	`jnl`	One-to-many neural network mapping techniques for face image synthesis. Expert Syst. Appl. Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
2011	—	`conf`	An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL Ioannis Lambrou, Vassilis Vassiliades, Chris Christodoulou
2011	J	`jnl`	Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals. Expert Syst. Appl. Maria Moustra, Marios N. Avraamides, Chris Christodoulou
2011	J	`jnl`	Does High Firing Irregularity Enhance Learning? Neural Comput. Chris Christodoulou, Aristodemos Cleanthous
2011	J	`jnl`	Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Trans. Neural Networks Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou
2011	J	`jnl`	Neural network methods for one-to-many multi-valued mapping problems. Neural Comput. Appl. Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
2010	B	`conf`	Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN Vassilis Vassiliades, Chris Christodoulou
2010	Misc	`conf`	Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AIAI Michalis Agathocleous, Georgia Christodoulou, Vasilis J. Promponas, Chris Christodoulou, Vassilis Vassiliades, Antonis Antoniou
2009	C	`conf`	Isolating Stock Prices Variation with Neural Networks. EANN Chrisina Draganova, Andreas Lanitis, Chris Christodoulou
2009	—	`conf`	Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma. ICANN (1) Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou
2007	—	`conf`	Neural networks for the identification of gas cylinder faults. Artificial Intelligence and Applications Costas Neocleous, Chris Christodoulou, Demos Demosthenous, Aristodemos Cleanthous
2005	—	`conf`	Restoration of Partially Occluded Shapes of Faces Using Neural Networks. CORES Christina Draganova, Andreas Lanitis, Chris Christodoulou
2004	J	`jnl`	Comparing different classifiers for automatic age estimation. IEEE Trans. Syst. Man Cybern. Part B Andreas Lanitis, Chrisina Draganova, Chris Christodoulou
2002	J	`jnl`	A spiking neuron model: applications and learning. Neural Networks Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson
2002	J	`jnl`	On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition. Neurocomputing Chris Christodoulou
2001	J	`jnl`	Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain? Neurocomputing Chris Christodoulou, Guido Bugmann
2001	J	`jnl`	Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor
2000	—	`conf`	Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann
1997	J	`jnl`	Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Comput. Guido Bugmann, Chris Christodoulou, John G. Taylor
1995	Misc	`conf`	A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. IWANN Chris Christodoulou, Trevor G. Clarkson
1993	Misc	`conf`	The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor