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2020 – today
- 2024
[c11]Devroop Kar
, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz:
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion 2024: 1924-1933- [c10]Zimeng Lyu, Pujan Thapa, Travis Desell:
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. IJCNN 2024: 1-8 - [i9]Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell:
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR abs/2401.06923 (2024) - [i8]Zimeng Lyu, Pujan Thapa, Travis Desell:
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. CoRR abs/2402.11185 (2024) - [i7]Zimeng Lyu, Amulya Saxena, Rohaan Nadeem, Hao Zhang, Travis Desell:
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading. CoRR abs/2410.17212 (2024) - 2023
- [j3]Zimeng Lyu, Alexander Ororbia, Travis Desell:
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145: 110522 (2023) - [j2]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) - [c9]Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell:
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. GECCO Companion 2023: 1639-1647 - [c8]Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell:
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. SSCI 2023: 1837-1842 - [i6]Zimeng Lyu, Alexander Ororbia, Travis Desell:
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR abs/2302.10347 (2023) - 2022
- [c7]Zimeng Lyu, Travis Desell:
ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. GECCO Companion 2022: 659-662 - [i5]Zimeng Lyu, Travis Desell:
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting. CoRR abs/2202.13471 (2022) - 2021
- [c6]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. EvoApplications 2021: 291-306 - [c5]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Wiem Mkaouer, Travis Desell:
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications 2021: 568-583 - [c4]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 - [c3]Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steven A. Benson, Seth Thoelke, Travis Desell:
Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. GECCO Companion 2021: 1735-1743 - 2020
- [j1]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) - [c2]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 - [c1]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 - [i4]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell:
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR abs/2005.07376 (2020) - [i3]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) - [i2]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) - [i1]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. CoRR abs/2011.10831 (2020)
Coauthor Index
aka: Travis Desell
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