Andrej Dobnikar

Affiliations:
  • University of Ljubljana, Slovenia


According to our database1, Andrej Dobnikar authored at least 32 papers between 1989 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2013
Reinforcement Learning and Genetic Regulatory Network Reconstruction.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

2012
Generation of a clustering ensemble based on a gravitational self-organising map.
Neurocomputing, 2012

2011
On the Origin and Features of an Evolved Boolean Model for Subcellular Signal Transduction Systems.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Gravitational Clustering of the Self-Organizing Map.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Distributed Text Classification With an Ensemble Kernel-Based Learning Approach.
IEEE Trans. Syst. Man Cybern. Part C, 2010

2009
Structural Properties of Recurrent Neural Networks.
Neural Process. Lett., 2009

Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Parallel Implementations of Recurrent Neural Network Learning.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Distributed Ensemble Learning in Text Classification.
Proceedings of the ICEIS 2008, 2008

2007
Impact of Learning on the Structural Properties of Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Modelling the Environment of a Mobile Robot with the Embedded Flow State Machine.
J. Intell. Robotic Syst., 2006

Cellular Automata Preimages: Count and List Algorithm.
Proceedings of the Computational Science, 2006

2005
Predicting time series using neural networks with wavelet-based denoising layers.
Neural Comput. Appl., 2005

2003
Adaptive Radial Basis Decomposition by Learning Vector Quantization.
Neural Process. Lett., 2003

On-line identification and reconstruction of finite automata with generalized recurrent neural networks.
Neural Networks, 2003

Reinforced Search in Stochastic Neural Network.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

An extended architecture of recurrent neural networks that latches input information.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

Recurrent neural network with integrated wavelet based denoising unit.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

Generalized recurrent neural networks and continuous dynamic systems.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

1999
Adaptive Modularity and Time-Series Prediction.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

The RBF Neural Network in Approximate Dynamic Programming.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

Using Smoothing Splines in Time Series Prediction with Neural Networks.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

Dynamic Systems Modelling with Evolving Cellular Automata.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

1998
Cellular automata and follicle recognition problem and possibilities of using cellular automata for image recognition purposes.
Int. J. Medical Informatics, 1998

Novel Internal Units for a Neural Network Based Adaptive Fuzzy Inference Systems.
Proceedings of the 24th EUROMICRO '98 Conference, 1998

1997
Time-Series Prediction with Neural Networks: Combinatorial versus Sequential Approach.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Follicle Recognition in Ultrasonic Images Using the Cellular Automata.
Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997

1994
Genetic synthesis of task-oriented neural networks.
Neural Parallel Sci. Comput., 1994

On-line correction of the gain in kalman filtering.
Autom., 1994

1992
Invariant pattern classification neural network versus FT approach.
Microprocess. Microprogramming, 1992

1991
Realization of multilayer Boolean neural networks with logic gate array.
Microprocessing and Microprogramming, 1991

1989
Programming support for IC design in ULA technology.
Microprocessing and Microprogramming, 1989


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