Abdelrahman Elsaid
Orcid: 0000-0001-5218-6917Affiliations:
- University of North Carolina Wilmington, Department of Computer Science, NC, USA
- University of Puerto Rico, Computer Science and Engineering, Mayagüez, PR, USA
- Rochester Institute of Technology, NY, USA
According to our database1,
Abdelrahman Elsaid
authored at least 15 papers
between 2016 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022
2021
Proceedings of the Applications of Evolutionary Computation, 2021
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution.
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
2020
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
2019
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters.
Proceedings of the Applications of Evolutionary Computation, 2019
2018
Using ant colony optimization to optimize long short-term memory recurrent neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
Proceedings of the 12th IEEE International Conference on e-Science, 2016