Stefan Schliebs - Citegraph

Author Info

Name	Affiliation	Papers
STEFAN SCHLIEBS	KEDRI, Auckland University of Technology, New Zealand	22
Collaborators	Citations	PageRank
20	380	18.56
Referers	Referees	References
629	397	346

Search Limit

100629

Publications (22 rows)

Collaborators (20 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Exploring the applicability of Reservoir methods for Classifying Punctual Sports Activities Using On-body Sensors.	5	0.53	2014
Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing.	1	0.39	2013
Evolving spiking neural network - a survey.	46	1.51	2013
Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data.	2	0.36	2013
Training spiking neural networks to associate spatio-temporal input-output spike patterns	31	1.22	2013
Continuous classification of spatio-temporal data streams using liquid state machines	6	0.59	2012
Constructing robust liquid state machines to process highly variable data streams	11	0.64	2012
Span: Spike Pattern Association Neuron For Learning Spatio-Temporal Spike Patterns	87	2.79	2012
Integrating neural networks and chaotic measurements for modelling epileptic brain	5	0.50	2012
Method for Training a Spiking Neuron to Associate Input-Output Spike Trains.	6	0.56	2011
SPAN: a neuron for precise-time spike pattern association	3	0.49	2011
Modelling the effect of genes on the dynamics of probabilistic spiking neural networks for computational neurogenetic modelling	4	0.42	2011
Reservoir-based evolving spiking neural network for spatio-temporal pattern recognition	3	0.43	2011
Analyzing The Dynamics Of The Simultaneous Feature And Parameter Optimization Of An Evolving Spiking Neural Network	5	0.45	2010
Towards spatio-temporal pattern recognition using evolving spiking neural networks	11	0.65	2010
On The Probabilistic Optimization Of Spiking Neural Networks	27	1.09	2010
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models.	25	1.27	2009
Quantum-inspired evolutionary algorithm: a multimodel EDA	60	1.98	2009
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling	5	0.46	2009
Integrated feature and parameter optimization for an evolving spiking neural network	21	0.97	2008
Initialization Dependence of Clustering Algorithms	1	0.37	2008
A Versatile Quantum-Inspired Evolutionary Algorithm	15	0.90	2007