AbdElRahman A. ElSaid

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Transfer Learning

Top Venues

EvoApplications

Appl. Soft Comput.

Publications

AbdElRahman A. ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR (2023)
AbdElRahman A. ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147 (2023)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO (2022)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR (2022)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications (2021)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Mohamed Wiem Mkaouer, Travis Desell
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications (2021)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
Continuous Ant-Based Neural Topology Search. EvoApplications (2021)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Travis Desell
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO (2020)
Aws Al-Qaisi, Mokhled S. AlTarawneh, AbdElRahman A. ElSaid, Ziad AlQadi
A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network. Traitement du Signal 37 (4) (2020)
Travis J. Desell, AbdElRahman A. ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steven A. Benson
Long term predictions of coal fired power plant data using evolved recurrent neural networks. Autom. 68 (2) (2020)
AbdElRahman A. ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR (2020)
AbdElRahman A. ElSaid, Alexander G. Ororbia II, Travis J. Desell
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications (2020)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
Continuous Ant-Based Neural Topology Search. CoRR (2020)
Travis Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia II
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications (2020)
AbdElRahman A. ElSaid, John Nordlie, Fatima El Jamiy
A test bed for measuring UAV servo reliability. CoRR (2019)
Alexander Ororbia, AbdElRahman A. ElSaid, Travis Desell
Investigating recurrent neural network memory structures using neuro-evolution. GECCO (2019)
AbdElRahman A. ElSaid, Alexander G. Ororbia II, Travis J. Desell
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR (2019)
Travis J. Desell, AbdElRahman A. ElSaid, Alexander Ororbia
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR (2019)
AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE (2019)
AbdElRahman A. ElSaid, Steven A. Benson, Shuchita Patwardhan, David Stadem, Travis Desell
Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters. EvoApplications (2019)
AbdElRahman A. ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. Appl. Soft Comput. 73 (2018)
AbdElRahman A. ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
Using ant colony optimization to optimize long short-term memory recurrent neural networks. GECCO (2018)
AbdElRahman A. ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. CoRR (2017)
AbdElRahman A. ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) (2017)
AbdElRahman A. ElSaid, Brandon Wild, James Higgins, Travis Desell
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience (2016)