Travis Desell
Orcid: 0000-0002-4082-0439
According to our database1,
Travis Desell
authored at least 44 papers
between 2009 and 2023.
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Bibliography
2023
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Optimized flight safety event detection in the national general aviation flight information database.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution.
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, 2020
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters.
Proceedings of the Applications of Evolutionary Computation, 2019
2018
Classifying Aircraft Approach Type in the National General Aviation Flight Information Database.
Proceedings of the Computational Science - ICCS 2018, 2018
Detecting Wildlife in Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained with an Automated Feedback Loop.
Proceedings of the Computational Science - ICCS 2018, 2018
Using ant colony optimization to optimize long short-term memory recurrent neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Accelerating the evolution of convolutional neural networks with node-level mutations and epigenetic weight initialization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Developing a Volunteer Computing Project to Evolve Convolutional Neural Networks and Their Hyperparameters.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
Toward Using Citizen Scientists to Drive Automated Ecological Object Detection in Aerial Imagery.
Proceedings of the 13th IEEE International Conference on e-Science, 2017
2016
Proceedings of the 24th High Performance Computing Symposium, 2016
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
Proceedings of the 12th IEEE International Conference on e-Science, 2016
Detecting wildlife in uncontrolled outdoor video using convolutional neural networks.
Proceedings of the 12th IEEE International Conference on e-Science, 2016
2015
On the Effectiveness of Crowd Sourcing Avian Nesting Video Analysis at Wildlife@Home.
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015
Proceedings of the 11th IEEE International Conference on e-Science, 2015
A Comparison of Background Subtraction Algorithms for Detecting Avian Nesting Events in Uncontrolled Outdoor Video.
Proceedings of the 11th IEEE International Conference on e-Science, 2015
Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015
2014
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
2013
Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video.
Proceedings of the 9th IEEE International Conference on eScience, 2013
2009