Essam Debie
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Año
Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses
E Debie, K Shafi
Pattern Analysis and Applications 22 (2), 519-536, 2019
162019
A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
J Asharf, N Moustafa, H Khurshid, E Debie, W Haider, A Wahab
Electronics 9 (7), 1177, 2020
142020
Multimodal fusion for objective assessment of cognitive workload: a review
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
IEEE transactions on cybernetics, 2019
132019
Reduct based ensemble of learning classifier system for real-valued classification problems
E Debie, K Shafi, C Lokan, K Merrick
2013 IEEE Symposium on Computational Intelligence and Ensemble Learning …, 2013
112013
Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control
T Nguyen, H Nguyen, E Debie, K Kasmarik, M Garratt, H Abbass
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
92018
Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested environments
RF Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
Frontiers in neuroscience 14, 2020
82020
Encephalographic assessment of situation awareness in teleoperation of human-swarm teaming
RF Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
International Conference on Neural Information Processing, 530-539, 2019
72019
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery
E Debie, K Shafi, C Lokan, K Merrick
Evolutionary Intelligence 6 (2), 109-126, 2013
62013
An online evolutionary rule learning algorithm with incremental attribute discretization
E Debie, K Shafi, K Merrick, C Lokan
2014 IEEE Congress on Evolutionary Computation (CEC), 1116-1123, 2014
52014
Evolution of intrinsic motives in multi-agent simulations
K Shafi, KE Merrick, E Debie
Asia-Pacific Conference On Simulated Evolution And Learning, 198-207, 2012
52012
Investigating differential evolution based rule discovery in learning classifier systems
E Debie, K Shafi, C Lokan, K Merrick
2013 IEEE Symposium on Differential Evolution (SDE), 77-84, 2013
42013
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications
N Moustafa, M Keshk, E Debie, H Janicke
arXiv preprint arXiv:2010.08522, 2020
22020
A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals
E Debie, N Moustafa, MT Whitty
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
22020
On Taxonomy and Evaluation of Feature Selection‐Based Learning Classifier System Ensemble Approaches for Data Mining Problems
E Debie, K Shafi, K Merrick, C Lokan
Computational Intelligence 33 (3), 554-578, 2017
22017
Human-swarm-teaming transparency and trust architecture
AJ Hepworth, DP Baxter, A Hussein, KJ Yaxley, E Debie, HA Abbass
IEEE/CAA Journal of Automatica Sinica, 2020
12020
Investigating Multi-Operator Differential Evolution for Feature Selection
E Debie, SM Elsayed, DL Essam, RA Sarker
Australasian Conference on Artificial Life and Computational Intelligence …, 2016
12016
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining
ES Debie, K Shafi, C Lokan
Proceedings of the 15th annual conference companion on Genetic and …, 2013
12013
Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles
RF Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence …, 2021
2021
Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence …, 2021
2021
Background: Although many electroencephalographic (EEG) indicators have been proposed in the literature, it is unclear which of the power bands and various indices are best as …
A Gupta, RF Rojas, R Fernandez Rojas, E Debie, J Fidock, M Barlow, ...
Cognitive Multitasking–Towards Augmented Intelligence, 2021
2021
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