Travis Desell

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 67

Top Topics

Convolutional Neural Network

Top Venues

GECCO Companion

EvoApplications

Publications

Hitesh Vaidya, Travis Desell, Ankur Arjun Mali, Alexander Ororbia
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR (2024)
Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR (2024)
Jared Murphy, Devroop Kar, Joshua Karns, Travis Desell
EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting. GECCO Companion (2024)
Zimeng Lyu, Pujan Thapa, Travis Desell
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. CoRR (2024)
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)
Jared Murphy, Travis Desell
Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting. GECCO Companion (2024)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145 (2023)
Hong Yang, William Gebhardt, Alexander G. Ororbia II, Travis Desell
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection. CoRR (2023)
Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. SSCI (2023)
AbdElRahman A. ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR (2023)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR (2023)
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)
AbdElRahman A. ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147 (2023)
Joshua Karns, Travis Desell
Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms. GECCO Companion (2023)
Hong Yang, Aidan P. LaBella, Travis Desell
Predictive Maintenance for General Aviation Using Convolutional Transformers. AAAI (2022)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO (2022)
Zimeng Lyu, Travis Desell
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting. CoRR (2022)
Aidan P. LaBella, Joshua A. Karns, Farhad Akhbardeh, Travis Desell, Andrew J. Walton, Zechariah Morgan, Brandon Wild, Mark Dusenbury
Optimized flight safety event detection in the national general aviation flight information database. SAC (2022)
Hitesh Vaidya, Travis Desell, Alexander G. Ororbia
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). AAAI (2022)
Deema Alshoaibi, Mohamed Wiem Mkaouer, Ali Ouni, Abdulmutalib Wahaishi, Travis Desell, Makram Soui
Search-based detection of code changes introducing performance regression. Swarm Evol. Comput. 73 (2022)
Zimeng Lyu, Travis Desell
ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. GECCO Companion (2022)
Farhad Akhbardeh, Marcos Zampieri, Cecilia Ovesdotter Alm, Travis Desell
Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets. LREC (2022)
Hong Yang, Travis Desell
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID. CoRR (2022)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR (2022)
Michael Kogan, Joshua Karns, Travis Desell
Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning. EvoApplications (2022)
Hong Yang, Travis Desell
Robust Augmentation for Multivariate Time Series Classification. CoRR (2022)
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)
Hitesh Vaidya, Travis Desell, Alexander Ororbia
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR (2021)
Joshua Karns, Travis Desell
Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers. GECCO Companion (2021)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications (2021)
Hong Yang, Aidan LaBella, Travis Desell
Predictive Maintenance for General Aviation Using Convolutional Transformers. CoRR (2021)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Mohamed Wiem Mkaouer, Travis Desell
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications (2021)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
Continuous Ant-Based Neural Topology Search. EvoApplications (2021)
Farhad Akhbardeh, Cecilia Ovesdotter Alm, Marcos Zampieri, Travis Desell
Handling Extreme Class Imbalance in Technical Logbook Datasets. ACL/IJCNLP (1) (2021)
Farhad Akhbardeh, Travis Desell, Marcos Zampieri
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources. COLING (Demonstrations) (2020)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Travis Desell
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications (2020)
Farhad Akhbardeh, Travis Desell, Marcos Zampieri
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources. CoRR (2020)
AbdElRahman A. 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)
Farhad Akhbardeh, Travis Desell, Marcos Zampieri
NLP Tools for Predictive Maintenance Records in MaintNet. AACL/IJCNLP (System Demonstrations) (2020)
AbdElRahman A. 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 (2020)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
Continuous Ant-Based Neural Topology Search. CoRR (2020)
Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR (2020)
Travis Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia II
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications (2020)
Alexander Ororbia, AbdElRahman A. ElSaid, Travis Desell
Investigating recurrent neural network memory structures using neuro-evolution. GECCO (2019)
Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
An analysis of altitude, citizen science and a convolutional neural network feedback loop on object detection in Unmanned Aerial Systems. J. Comput. Sci. 34 (2019)
Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. ASE (2019)
Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR (2019)
AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE (2019)
AbdElRahman A. 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)
Travis Desell
Accelerating the evolution of convolutional neural networks with node-level mutations and epigenetic weight initialization. GECCO (Companion) (2018)
Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
Detecting Wildlife in Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained with an Automated Feedback Loop. ICCS (1) (2018)
Kelton Karboviak, Sophine Clachar, Travis Desell, Mark Dusenbury, Wyatt Hedrick, James Higgins, John Walberg, Brandon Wild
Classifying Aircraft Approach Type in the National General Aviation Flight Information Database. ICCS (1) (2018)
AbdElRahman A. 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 (2018)
AbdElRahman A. 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)
Travis Desell
Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization. CoRR (2018)
AbdElRahman A. 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 (2017)
Travis Desell
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing. CoRR (2017)
Travis Desell
Developing a Volunteer Computing Project to Evolve Convolutional Neural Networks and Their Hyperparameters. eScience (2017)
AbdElRahman A. ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) (2017)
Travis Desell
Large scale evolution of convolutional neural networks using volunteer computing. GECCO (Companion) (2017)
Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
Toward Using Citizen Scientists to Drive Automated Ecological Object Detection in Aerial Imagery. eScience (2017)
Travis Desell, Malik Magdon-Ismail, Heidi Jo Newberg, Lee A. Newberg, Boleslaw K. Szymanski, Carlos A. Varela
A Robust Asynchronous Newton Method for Massive Scale Computing Systems. CoRR (2017)
David Apostal, Sara Faraji Jalal Apostal, Ronald Marsh, Travis Desell
Towards modeling a complex geological simulation. SpringSim (HPS) (2016)
Connor Bowley, Alicia Andes, Susan Ellis-Felege, Travis Desell
Detecting wildlife in uncontrolled outdoor video using convolutional neural networks. eScience (2016)
AbdElRahman A. ElSaid, Brandon Wild, James Higgins, Travis Desell
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience (2016)
Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization. EvoCOP (2015)
Kyle Goehner, Travis Desell, Rebecca Eckroad, Leila Mohsenian, Paul Burr, Nicolas Caswell, Alicia Andes, Susan Ellis-Felege
A Comparison of Background Subtraction Algorithms for Detecting Avian Nesting Events in Uncontrolled Outdoor Video. e-Science (2015)
Thomas O'Neil, Travis Desell
Empirical support for the high-density subset sum decision threshold. CWIT (2015)
Kristopher Zarns, Travis Desell, Sergei Nechaev, Archana Dhasarathy
Searching the Human Genome for Snail and Slug with DNA@Home. e-Science (2015)
Travis Desell, Kyle Goehner, Alicia Andes, Rebecca Eckroad, Susan Ellis-Felege
On the Effectiveness of Crowd Sourcing Avian Nesting Video Analysis at Wildlife@Home. ICCS (2015)
Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data. PPSN (2014)
Travis Desell, Robert Bergman, Kyle Goehner, Ronald Marsh, Rebecca VanderClute, Susan Ellis-Felege
Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video. e-Science (2013)