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ORCIDAbdelrahman Elsaid
Person information
- affiliation: University of North Carolina Wilmington, Department of Computer Science, NC, USA
- affiliation: University of Puerto Rico, Computer Science and Engineering, Mayagüez, PR, USA
- affiliation: Rochester Institute of Technology, NY, USA
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2020 – today
- 2024
[j5]Abdelrahman Elsaid
:
Continuous Ant-Based Neural Topology Search. Softw. Impacts 19: 100615 (2024)- [i12]Abdelrahman Elsaid:
Colony-Enhanced Recurrent Neural Architecture Search: Collaborative Ant-Based Optimization. CoRR abs/2401.17480 (2024) - [i11]Wen-Chen Hu, Sanjaikanth E. Vadakkethil Somanathan Pillai, Abdelrahman Ahmed ElSaid:
Mobile Health Text Misinformation Identification Using Mobile Data Mining. CoRR abs/2402.19280 (2024) - 2023
- [j4]AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147: 110737 (2023) - [i10]AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR abs/2305.06715 (2023) - 2022
- [c15]Sanjaikanth E. Vadakkethil Somanathan Pillai, Abdelrahman Ahmed ElSaid, Wen-Chen Hu:
A Self-Reconfigurable System for Mobile Health Text Misinformation Detection. EIT 2022: 242-247 - [c14]Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO 2022: 1299-1307 - [i9]Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR abs/2204.10308 (2022) - 2021
- [c13]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. EvoApplications 2021: 291-306 - [c12]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Wiem Mkaouer, Travis Desell:
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications 2021: 568-583 - [c11]Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications 2021: 584-600 - 2020
- [j3]Travis J. Desell, AbdElRahman 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): 130-139 (2020) - [j2]Aws Al-Qaisi, Mokhled S. AlTarawneh, AbdElRahman ElSaid, Ziad A. Alqadi:
A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network. Traitement du Signal 37(4): 555-561 (2020) - [c10]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications 2020: 546-561 - [c9]AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications 2020: 610-625 - [c8]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications 2020: 626-641 - [c7]AbdElRahman 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: 315-323 - [p1]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution 2020: 253-291 - [i8]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell:
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR abs/2005.07376 (2020) - [i7]AbdElRahman 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 abs/2006.02655 (2020) - [i6]Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR abs/2009.09644 (2020) - [i5]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. CoRR abs/2011.10831 (2020)
2010 – 2019
- 2019
- [c6]AbdElRahman 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: 488-503 - [c5]Alexander Ororbia, AbdElRahman ElSaid, Travis Desell:
Investigating recurrent neural network memory structures using neuro-evolution. GECCO 2019: 446-455 - [c4]AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE 2019: 153-154 - [i4]AbdElRahman ElSaid, John Nordlie, Fatima El Jamiy:
A test bed for measuring UAV servo reliability. CoRR abs/1901.11486 (2019) - [i3]Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia:
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR abs/1909.09502 (2019) - [i2]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR abs/1909.11849 (2019) - 2018
- [j1]AbdElRahman 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: 969-991 (2018) - [c3]AbdElRahman 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: 13-20 - 2017
- [c2]AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell:
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) 2017: 21-22 - [i1]AbdElRahman 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 abs/1710.03753 (2017) - 2016
- [c1]AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell:
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience 2016: 260-269
Coauthor Index
aka: Travis Desell
aka: Alexander G. Ororbia II
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