Stefan Schliebs

Publication Activity (10 Years)

Years Active: 2007-2014
Publications (10 Years): 0

Top Topics

Spatio Temporal Patterns

Biologically Inspired

Top Venues

Publications

Doug Hunt, Dave Parry, Stefan Schliebs
Exploring the applicability of Reservoir methods for Classifying Punctual Sports Activities Using On-body Sensors. ACSC (2014)
Stefan Schliebs, Nikola K. Kasabov, Dave Parry, Doug Hunt
Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing. EANN (1) (2013)
Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
Training spiking neural networks to associate spatio-temporal input-output spike patterns. Neurocomputing 107 (2013)
Stefan Schliebs, Elisa Capecci, Nikola K. Kasabov
Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. ICONIP (3) (2013)
Stefan Schliebs, Nikola K. Kasabov
Evolving spiking neural network - a survey. Evol. Syst. 4 (2) (2013)
Stefan Schliebs, Maurizio Fiasché, Nikola K. Kasabov
Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. ICANN (1) (2012)
Maurizio Fiasché, Stefan Schliebs, Lino Nobili
Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain. ICANN (1) (2012)
Stefan Schliebs, Doug Hunt
Continuous Classification of Spatio-temporal Data Streams Using Liquid State Machines. ICONIP (4) (2012)
Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns. Int. J. Neural Syst. 22 (4) (2012)
Nikola K. Kasabov, Stefan Schliebs, Ammar Mohemmed
Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling. CIBB (2011)
Ammar Mohemmed, Stefan Schliebs, Nikola K. Kasabov
SPAN: A Neuron for Precise-Time Spike Pattern Association. ICONIP (2) (2011)
Stefan Schliebs, Ammar Mohemmed, Nikola K. Kasabov
Are probabilistic spiking neural networks suitable for reservoir computing? IJCNN (2011)
Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola K. Kasabov
Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. IJCNN (2011)
Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola K. Kasabov
Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. ICONIP (2) (2011)
Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. EANN/AIAI (1) (2011)
Stefan Schliebs, Nikola K. Kasabov, Michael Defoin-Platel
On the Probabilistic Optimization of Spiking Neural Networks. Int. J. Neural Syst. 20 (6) (2010)
Stefan Schliebs, Nuttapod Nuntalid, Nikola K. Kasabov
Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. ICONIP (1) (2010)
Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov
Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. IJCNN (2010)
Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. Neural Networks 22 (5-6) (2009)
Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. IJCNN (2009)
Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov
Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. IEEE Trans. Evol. Comput. 13 (6) (2009)
Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov
Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) (2008)
Wim De Mulder, Stefan Schliebs, René K. Boel, Martin Kuiper
Initialization Dependence of Clustering Algorithms. ICONIP (2) (2008)
Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov
A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation (2007)