| Neuro-evolutionary transfer learning through structural adaptation AER ElSaid, J Karnas, Z Lyu, D Krutz, AG Ororbia, T Desell Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 16 | 2020 |
| An experimental study of weight initialization and lamarckian inheritance on neuroevolution Z Lyu, AER ElSaid, J Karns, M Mkaouer, T Desell International Conference on the Applications of Evolutionary Computation …, 2021 | 15 | 2021 |
| Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation AER ElSaid, J Karns, Z Lyu, D Krutz, A Ororbia, T Desell Proceedings of the 2020 genetic and evolutionary computation conference, 315-323, 2020 | 13 | 2020 |
| Online evolutionary neural architecture search for multivariate non-stationary time series forecasting Z Lyu, A Ororbia, T Desell Applied Soft Computing 145, 110522, 2023 | 4 | 2023 |
| ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting Z Lyu, T Desell Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 4 | 2022 |
| Improving neuroevolution using island extinction and repopulation Z Lyu, J Karns, AER ElSaid, T Desell arXiv preprint arXiv:2005.07376, 2020 | 4 | 2020 |
| Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters Z Lyu, S Patwardhan, D Stadem, J Langfeld, S Benson, S Thoelke, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 3 | 2021 |
| Improving distributed neuroevolution using island extinction and repopulation Z Lyu, J Karns, AER ElSaid, M Mkaouer, T Desell International Conference on the Applications of Evolutionary Computation …, 2021 | 3 | 2021 |
| An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution Z Lyu, AER ElSaid, J Karns, M Mkaouer, T Desell arXiv preprint arXiv:2009.09644, 2020 | 3 | 2020 |
| Minimally supervised learning using topological projections in self-organizing maps Z Lyu, A Ororbia, R Li, T Desell arXiv preprint arXiv:2401.06923, 2024 | 2 | 2024 |
| Backpropagation-free 4D continuous ant-based neural topology search AER ElSaid, K Ricanek, Z Lyu, A Ororbia, T Desell Applied Soft Computing 147, 110737, 2023 | 2 | 2023 |
| Continuous ant-based neural topology search AER ElSaid, J Karns, Z Lyu, AG Ororbia, T Desell International Conference on the Applications of Evolutionary Computation …, 2021 | 2 | 2021 |
| Long term predictions of coal fired power plant data using evolved recurrent neural networks TJ Desell, AERA ElSaid, Z Lyu, D Stadem, S Patwardhan, S Benson at-Automatisierungstechnik 68 (2), 130-139, 2020 | 2 | 2020 |
| Co-evolving recurrent neural networks and their hyperparameters with simplex hyperparameter optimization AD Kini, SS Yadav, AS Thakur, AB Awari, Z Lyu, T Desell Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 1 | 2023 |
| Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation AER ElSaid, J Karns, A Ororbia II, D Krutz, Z Lyu, T Desell arXiv preprint arXiv:2006.02655, 2020 | 1 | 2020 |
| Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification Z Lyu, P Thapa, T Desell arXiv preprint arXiv:2402.11185, 2024 | | 2024 |
| Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization AS Thakur, AB Awari, Z Lyu, T Desell 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1837-1842, 2023 | | 2023 |
| RIT Scholar Work s T Desell, AER ElSaid, Z Lyu, D Stadem, S Patwardhan | | |
Travis DesellAssociate Professor, Rochester Institute of TechnologyVerified email at rit.edu
