A versatile quantum-inspired evolutionary algorithm. - Michael Defoin-Platel; Stefan Schliebs; Nikola K. Kasabov (IEEE Congress on Evolutionary Computation, 2007)

Initialization Dependence of Clustering Algorithms. - Wim De Mulder; Stefan Schliebs; René K. Boel; Martin Kuiper (ICONIP (2), 2008)

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. - Stefan Schliebs; Michael Defoin-Platel; Nikola K. Kasabov (ICONIP (1), 2008)

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. - Stefan Schliebs; Michael Defoin-Platel; Susan P. Worner; Nikola K. Kasabov (IJCNN, 2009)

Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. - Stefan Schliebs; Michael Defoin-Platel; Susan P. Worner; Nikola K. Kasabov (Neural Networks, 2009)

Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. - Michael Defoin-Platel; Stefan Schliebs; Nikola K. Kasabov (IEEE Trans. Evol. Comput., 2009)

Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. - Stefan Schliebs; Nuttapod Nuntalid; Nikola K. Kasabov (ICONIP (1), 2010)

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. - Stefan Schliebs; Michael Defoin-Platel; Nikola K. Kasabov (IJCNN, 2010)

On the Probabilistic Optimization of Spiking Neural Networks. - Stefan Schliebs; Nikola K. Kasabov; Michael Defoin-Platel (Int. J. Neural Syst., 2010)

Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling. - Nikola K. Kasabov; Stefan Schliebs; Ammar Mohemmed (CIBB, 2011)

SPAN: A Neuron for Precise-Time Spike Pattern Association. - Ammar Mohemmed; Stefan Schliebs; Nikola K. Kasabov (ICONIP (2), 2011)

Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. - Stefan Schliebs; Haza Nuzly Abdull Hamed; Nikola K. Kasabov (ICONIP (2), 2011)

Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. - Ammar Mohemmed; Stefan Schliebs; Satoshi Matsuda; Nikola K. Kasabov (EANN, 2011)

Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. - Ammar Mohemmed; Satoshi Matsuda; Stefan Schliebs; Kshitij Dhoble; Nikola K. Kasabov (IJCNN, 2011)

Are probabilistic spiking neural networks suitable for reservoir computing? - Stefan Schliebs; Ammar Mohemmed; Nikola K. Kasabov (IJCNN, 2011)

Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain. - Maurizio Fiasché; Stefan Schliebs; Lino Nobili (ICANN (1), 2012)

Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. - Stefan Schliebs; Maurizio Fiasché; Nikola K. Kasabov (ICANN (1), 2012)

Continuous Classification of Spatio-temporal Data Streams Using Liquid State Machines. - Stefan Schliebs; Doug Hunt (ICONIP (4), 2012)

Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns. - Ammar Mohemmed; Stefan Schliebs; Satoshi Matsuda; Nikola K. Kasabov (Int. J. Neural Syst., 2012)

Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing. - Stefan Schliebs; Nikola K. Kasabov; Dave Parry; Doug Hunt (EANN (1), 2013)

Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. - Stefan Schliebs; Elisa Capecci; Nikola K. Kasabov (ICONIP (3), 2013)

Evolving spiking neural network - a survey. - Stefan Schliebs; Nikola K. Kasabov (Evol. Syst., 2013)

Training spiking neural networks to associate spatio-temporal input-output spike patterns. - Ammar Mohemmed; Stefan Schliebs; Satoshi Matsuda; Nikola K. Kasabov (Neurocomputing, 2013)

Exploring the applicability of Reservoir methods for Classifying Punctual Sports Activities Using On-body Sensors. - Doug Hunt; Dave Parry; Stefan Schliebs (ACSC, 2014)