Sampath Yerramalla, Ph.D.

Affiliations: 
2005 West Virginia University, Morgantown, WV, United States 
Area:
Electronics and Electrical Engineering, Artificial Intelligence
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"Sampath Yerramalla"

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Bojan Cukic grad student 2005 West Virginia University
 (Stability monitoring and analysis of online learning neural networks.)
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Publications

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Yerramalla S, Fuller E, Cukic B. (2010) Optimal method for growth in dynamic self organizing learning systems Proceedings of the International Joint Conference On Neural Networks
Yerramalla S, Fuller E, Cukic B. (2010) Dynamic allocation in neural networks for adaptive controllers Studies in Computational Intelligence. 268: 111-139
Liu Y, Cukic B, Fuller E, et al. (2006) Monitoring techniques for an online neuro-adaptive controller Journal of Systems and Software. 79: 1527-1540
Fuller EJ, Yerramalla SK, Cukic B. (2006) Stability properties of neural networks Methods and Procedures For the Verification and Validation of Artificial Neural Networks. 97-108
Cukic B, Fuller E, Mladenovski M, et al. (2006) Run-time assessment of neural network control systems Methods and Procedures For the Verification and Validation of Artificial Neural Networks. 257-269
Yerramalla S, Fuller E, Cukic B. (2006) A validation approach for neural network-based online adaptive systems Software - Practice and Experience. 36: 1209-1225
Cukic B, Mladenovski M, Desovski D, et al. (2005) Real-time data fusion technique for validation of an autonomous system Proceedings - International Workshop On Object-Oriented Real-Time Dependable Systems, Words. 121-128
Fuller E, Yerramalla S, Cukic B, et al. (2005) An approach to predicting non-deterministic neural network behavior Proceedings of the International Joint Conference On Neural Networks. 5: 2921-2926
Yerramalla S, Cukic B, Mladenovski M, et al. (2005) Stability monitoring and analysis of learning in an adaptive system Proceedings of the International Conference On Dependable Systems and Networks. 70-79
Yerramalla S, Liu Y, Fuller E, et al. (2004) An approach to V&V of embedded adaptive systems Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3228: 173-188
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