Essam Soliman Debie
According to our database1, Essam Soliman Debie authored at least 14 papers between 2012 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution.
A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses.
Pattern Anal. Appl., 2019
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.
Comput. Intell., 2017
Proceedings of the Artificial Life and Computational Intelligence, 2016
Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies.
PhD thesis, 2014
An online evolutionary rule learning algorithm with incremental attribute discretization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery.
Evol. Intell., 2013
Investigating Differential Evolution based rule discovery in learning classifier systems.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Reduct based ensemble of learning classifier system for real-valued classification problems.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012