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ORCIDStefan Schliebs
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2010 – 2019
- 2014
[c18]Doug Hunt, Dave Parry, Stefan Schliebs:
Exploring the applicability of Reservoir methods for Classifying Punctual Sports Activities Using On-body Sensors. ACSC 2014: 67-73- 2013
- [j6]Stefan Schliebs, Nikola K. Kasabov
:
Evolving spiking neural network - a survey. Evol. Syst. 4(2): 87-98 (2013) - [j5]Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov:
Training spiking neural networks to associate spatio-temporal input-output spike patterns. Neurocomputing 107: 3-10 (2013) - [c17]Stefan Schliebs, Nikola K. Kasabov, Dave Parry, Doug Hunt:
Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing. EANN (1) 2013: 233-242 - [c16]Stefan Schliebs, Elisa Capecci, Nikola K. Kasabov:
Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. ICONIP (3) 2013: 55-62 - 2012
- [j4]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) - [c15]Stefan Schliebs, Maurizio Fiasché, Nikola K. Kasabov:
Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. ICANN (1) 2012: 604-611 - [c14]Maurizio Fiasché, Stefan Schliebs, Lino Nobili:
Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain. ICANN (1) 2012: 653-660 - [c13]Stefan Schliebs, Doug Hunt:
Continuous Classification of Spatio-temporal Data Streams Using Liquid State Machines. ICONIP (4) 2012: 626-633 - 2011
- [c12]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: 1-9 - [c11]Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola K. Kasabov:
Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. ICONIP (2) 2011: 160-168 - [c10]Ammar Mohemmed, Stefan Schliebs, Nikola K. Kasabov:
SPAN: A Neuron for Precise-Time Spike Pattern Association. ICONIP (2) 2011: 718-725 - [c9]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: 219-228 - [c8]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: 2969-2974 - [c7]Stefan Schliebs, Ammar Mohemmed, Nikola K. Kasabov:
Are probabilistic spiking neural networks suitable for reservoir computing? IJCNN 2011: 3156-3163 - 2010
- [j3]Stefan Schliebs, Nikola K. Kasabov, Michael Defoin-Platel:
On the Probabilistic Optimization of Spiking Neural Networks. Int. J. Neural Syst. 20(6): 481-500 (2010) - [c6]Stefan Schliebs, Nuttapod Nuntalid, Nikola K. Kasabov:
Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. ICONIP (1) 2010: 163-170 - [c5]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: 1-8
2000 – 2009
- 2009
- [j2]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): 623-632 (2009) - [j1]Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov:
Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. IEEE Trans. Evol. Comput. 13(6): 1218-1232 (2009) - [c4]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: 2833-2840 - 2008
- [c3]Wim De Mulder, Stefan Schliebs, René K. Boel, Martin Kuiper:
Initialization Dependence of Clustering Algorithms. ICONIP (2) 2008: 615-622 - [c2]Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov:
Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) 2008: 1229-1236 - 2007
- [c1]Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov:
A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430
Coauthor Index
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