Travis J. Desell
Orcid: 0000-0002-4082-0439
According to our database1,
Travis J. Desell
authored at least 91 papers
between 2004 and 2024.
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Bibliography
2024
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps.
CoRR, 2024
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification.
CoRR, 2024
CoRR, 2024
2023
Appl. Soft Comput., November, 2023
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting.
Appl. Soft Comput., September, 2023
CoRR, 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
Swarm Evol. Comput., 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID.
CoRR, 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
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay.
CoRR, 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
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution.
CoRR, 2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation.
CoRR, 2020
Long term predictions of coal fired power plant data using evolved recurrent neural networks.
Autom., 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
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
An analysis of altitude, citizen science and a convolutional neural network feedback loop on object detection in Unmanned Aerial Systems.
J. Comput. Sci., 2019
CoRR, 2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution.
CoRR, 2019
CoRR, 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
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.
Appl. Soft Comput., 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
Developing a citizen science web portal for manual and automated ecological image detection.
Proceedings of the 12th IEEE International Conference on e-Science, 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
Proceedings of the International Conference on Computational Science, 2014
Proceedings of the Concurrent Objects and Beyond, 2014
2013
Using Actors and the SALSA Programming Language to Introduce Concurrency in Computer Science II.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video.
Proceedings of the 9th IEEE International Conference on eScience, 2013
2012
Proceedings of the 19th International Conference on High Performance Computing, 2012
2011
Evolving N-Body Simulations to Determine the Origin and Structure of the Milky Way Galaxy's Halo Using Volunteer Computing.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
2010
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
Proceedings of the Distributed Applications and Interoperable Systems, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Parallel Processing and Applied Mathematics, 2009
Proceedings of the Fifth International Conference on e-Science, 2009
2008
Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008
An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
Proceedings of the Parallel Processing and Applied Mathematics, 2007
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007
2006
Int. J. High Perform. Comput. Appl., 2006
Proceedings of the Parallel Processing for Scientific Computing, 2006
2004
Proceedings of the Second Eclipse Technology Exchange: eTX and the Eclipse Phenomenon, 2004
Proceedings of the Grid Computing: The New Frontier of High Performance Computing [post-proceedings of the High Performance Computing Workshop, 2004
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004