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Combining negative selection and classification techniques for anomaly detection
- F. González, D. Dasgupta, R. Kozma
- Computer ScienceProceedings of the Congress on Evolutionary…
- 12 May 2002
TLDR
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator
TLDR
Unsupervised Learning with Self-Organizing Spiking Neural Networks
- Hananel Hazan, D. J. Saunders, Darpan T. Sanghavi, H. Siegelmann, R. Kozma
- Computer ScienceInternational Joint Conference on Neural Networks…
- 1 July 2018
TLDR
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
- Hananel Hazan, D. J. Saunders, R. Kozma
- Computer ScienceFront. Neuroinform.
- 4 June 2018
TLDR
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
- R. Kozma, Marko Puljic, P. Balister, B. Bollobás, W. Freeman
- BiologyBiological Cybernetics
- 1 June 2005
TLDR
Breathing as a Fundamental Rhythm of Brain Function
- D. Heck, Samuel S. McAfee, R. Kozma
- Biology, PsychologyFrontiers in neural circuits
- 12 January 2017
TLDR
Advances in Neuromorphic Memristor Science and Applications
- R. Kozma, R. Pino, G. Pazienza
- ChemistrySpringer Series in Cognitive and Neural Systems
- 28 June 2012
Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent…
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
- R. Ilin, R. Kozma, P. Werbos
- Computer ScienceThe IEEE International Joint Conference on…
- 30 October 2006
TLDR
Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns
- R. Kozma, W. Freeman
- Computer ScienceInt. J. Bifurc. Chaos
- 1 June 2001
TLDR
Complete stability analysis of a heuristic approximate dynamic programming control design
- Yury Sokolov, R. Kozma, L. Werbos, P. Werbos
- Computer ScienceAutom.
- 1 September 2015
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