Travis Desell - RankMe

92 papers A* 4A 7B 14Misc 2Journal 35Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models. CoRR Hong Yang, Devroop Kar, Qi Yu, Travis Desell, Alexander Ororbia
2026	J	`jnl`	Diversifying Toxicity Search in Large Language Models Through Speciation. CoRR Onkar Shelar, Travis Desell
2026	J	`jnl`	Investigating Quantum Circuit Designs Using Neuro-Evolution. CoRR Devroop Kar, Daniel E. Krutz, Travis Desell
2025	—	`conf`	CG-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across Domains. GECCO Companion AbdElRahman ElSaid, Travis Desell
2025	A*	`conf`	Can We Ignore Labels in Out of Distribution Detection? ICLR Hong Yang, Qi Yu, Travis Desell
2025	J	`jnl`	Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay. CoRR Pujan Thapa, Alexander Ororbia, Travis Desell
2025	J	`jnl`	Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions. CoRR Devroop Kar, Zimeng Lyu, Sheeraja Rajakrishnan, Hao Zhang, Alexander Ororbia, Travis Desell, Daniel E. Krutz
2025	A	`conf`	Evaluation Time Bias in Asynchronous Evolutionary Algorithms: A Replication Study and a Novel Mitigation Strategy. GECCO Joshua Karns, Travis Desell
2025	J	`jnl`	Evolving Prompts for Toxicity Search in Large Language Models. CoRR Onkar Shelar, Travis Desell
2025	—	`conf`	Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. EvoApplications (2) Zimeng Lyu, Devroop Kar, Matthew Simoni, Rohaan Nadeem, Avinash Bhojanapalli, Hao Zhang, Travis Desell
2025	B	`conf`	Minimally Supervised Regression using Topological Projections in Self-Organizing Maps. IJCNN Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
2025	A	`conf`	Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections. GECCO Evan Patterson, Joshua Karns, Zimeng Lyu, Travis Desell
2024	—	`conf`	EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting. GECCO Companion Jared Murphy, Devroop Kar, Joshua Karns, Travis Desell
2024	—	`conf`	Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz
2024	J	`jnl`	Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
2024	B	`conf`	Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. IJCNN Zimeng Lyu, Pujan Thapa, Travis Desell
2024	J	`jnl`	Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. CoRR Zimeng Lyu, Pujan Thapa, Travis Desell
2024	—	`conf`	Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting. GECCO Companion Jared Murphy, Travis Desell
2024	J	`jnl`	Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR Hitesh Vaidya, Travis Desell, Ankur Mali, Alexander Ororbia
2024	J	`jnl`	Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading. CoRR Zimeng Lyu, Amulya Saxena, Rohaan Nadeem, Hao Zhang, Travis Desell
2023	J	`jnl`	Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	—	`conf`	Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. GECCO Companion Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell
2023	—	`conf`	Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. SSCI Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell
2023	—	`conf`	Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms. GECCO Companion Joshua Karns, Travis Desell
2023	J	`jnl`	Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection. CoRR Hong Yang, William Gebhardt, Alexander G. Ororbia II, Travis Desell
2022	J	`jnl`	A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID. CoRR Hong Yang, Travis Desell
2022	J	`jnl`	Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2022	A	`conf`	Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2022	J	`jnl`	ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting. CoRR Zimeng Lyu, Travis Desell
2022	—	`conf`	ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. GECCO Companion Zimeng Lyu, Travis Desell
2022	Misc	`conf`	Optimized flight safety event detection in the national general aviation flight information database. SAC Aidan P. LaBella, Joshua A. Karns, Farhad Akhbardeh, Travis Desell, Andrew J. Walton, Zechariah Morgan, Brandon Wild, Mark Dusenbury
2022	A*	`conf`	Predictive Maintenance for General Aviation Using Convolutional Transformers. AAAI Hong Yang, Aidan P. LaBella, Travis Desell
2022	A*	`conf`	Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). AAAI Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II
2022	J	`jnl`	Robust Augmentation for Multivariate Time Series Classification. CoRR Hong Yang, Travis Desell
2022	J	`jnl`	Search-based detection of code changes introducing performance regression. Swarm Evol. Comput. Deema Alshoaibi, Mohamed Wiem Mkaouer, Ali Ouni, Abdulmutalib Wahaishi, Travis Desell, Makram Soui
2022	B	`conf`	Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning. EvoApplications Michael Kogan, Joshua Karns, Travis Desell
2022	B	`conf`	Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets. LREC Farhad Akhbardeh, Marcos Zampieri, Cecilia Ovesdotter Alm, Travis Desell
2021	B	`conf`	An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
2021	B	`conf`	Continuous Ant-Based Neural Topology Search. EvoApplications AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
2021	—	`conf`	Handling Extreme Class Imbalance in Technical Logbook Datasets. ACL/IJCNLP (1) Farhad Akhbardeh, Cecilia Ovesdotter Alm, Marcos Zampieri, Travis Desell
2021	B	`conf`	Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Wiem Mkaouer, Travis Desell
2021	—	`conf`	Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers. GECCO Companion Joshua Karns, Travis Desell
2021	—	`conf`	Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. GECCO Companion Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steven A. Benson, Seth Thoelke, Travis Desell
2021	J	`jnl`	Predictive Maintenance for General Aviation Using Convolutional Transformers. CoRR Hong Yang, Aidan P. LaBella, Travis Desell
2021	J	`jnl`	Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR Hitesh Vaidya, Travis Desell, Alexander Ororbia
2020	B	`conf`	An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II
2020	J	`jnl`	An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
2020	J	`jnl`	Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
2020	J	`jnl`	Improving Neuroevolution Using Island Extinction and Repopulation. CoRR Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell
2020	A	`conf`	Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
2020	J	`jnl`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2020	—	`ch.`	Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II
2020	—	`conf`	MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources. COLING (Demonstrations) Farhad Akhbardeh, Travis Desell, Marcos Zampieri
2020	J	`jnl`	MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources. CoRR Farhad Akhbardeh, Travis Desell, Marcos Zampieri
2020	—	`conf`	NLP Tools for Predictive Maintenance Records in MaintNet. AACL/IJCNLP (System Demonstrations) Farhad Akhbardeh, Travis Desell, Marcos Zampieri
2020	B	`conf`	Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
2020	J	`jnl`	Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
2019	J	`jnl`	An analysis of altitude, citizen science and a convolutional neural network feedback loop on object detection in Unmanned Aerial Systems. J. Comput. Sci. Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
2019	B	`conf`	Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters. EvoApplications AbdElRahman ElSaid, Steven A. Benson, Shuchita Patwardhan, David Stadem, Travis Desell
2019	A*	`conf`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. ASE Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2019	J	`jnl`	Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell
2019	A	`conf`	Investigating recurrent neural network memory structures using neuro-evolution. GECCO Alexander Ororbia, AbdElRahman ElSaid, Travis Desell
2019	—	`conf`	Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2018	J	`jnl`	Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization. CoRR Travis Desell
2018	—	`conf`	Accelerating the evolution of convolutional neural networks with node-level mutations and epigenetic weight initialization. GECCO (Companion) Travis Desell
2018	—	`conf`	Classifying Aircraft Approach Type in the National General Aviation Flight Information Database. ICCS (1) Kelton Karboviak, Sophine Clachar, Travis Desell, Mark Dusenbury, Wyatt Hedrick, James Higgins, John Walberg, Brandon Wild
2018	—	`conf`	Detecting Wildlife in Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained with an Automated Feedback Loop. ICCS (1) Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
2018	J	`jnl`	Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. Appl. Soft Comput. AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2018	A	`conf`	Using ant colony optimization to optimize long short-term memory recurrent neural networks. GECCO AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2017	J	`jnl`	A Robust Asynchronous Newton Method for Massive Scale Computing Systems. CoRR Travis Desell, Malik Magdon-Ismail, Heidi Jo Newberg, Lee A. Newberg, Boleslaw K. Szymanski, Carlos A. Varela
2017	—	`conf`	Developing a Volunteer Computing Project to Evolve Convolutional Neural Networks and Their Hyperparameters. eScience Travis Desell
2017	J	`jnl`	Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing. CoRR Travis Desell
2017	—	`conf`	Large scale evolution of convolutional neural networks using volunteer computing. GECCO (Companion) Travis Desell
2017	—	`conf`	Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell
2017	J	`jnl`	Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. CoRR AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild
2017	—	`conf`	Toward Using Citizen Scientists to Drive Automated Ecological Object Detection in Aerial Imagery. eScience Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege, Travis Desell
2016	—	`conf`	Detecting wildlife in uncontrolled outdoor video using convolutional neural networks. eScience Connor Bowley, Alicia Andes, Susan Ellis-Felege, Travis Desell
2016	—	`ed.`	Proceedings of the 6th International Workshop on Programming Based on Actors, Agents, and Decentralized Control, AGERE 2016, Amsterdam, The Netherlands, October 30, 2016 AGERE!@SPLASH Sylvan Clebsch, Travis Desell, Philipp Haller, Alessandro Ricci
2016	—	`conf`	Towards modeling a complex geological simulation. SpringSim (HPS) David Apostal, Sara Faraji Jalal Apostal, Ronald Marsh, Travis Desell
2016	—	`conf`	Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell
2015	B	`conf`	A Comparison of Background Subtraction Algorithms for Detecting Avian Nesting Events in Uncontrolled Outdoor Video. e-Science Kyle Goehner, Travis Desell, Rebecca Eckroad, Leila Mohsenian, Paul Burr, Nicolas Caswell, Alicia Andes, Susan Ellis-Felege
2015	—	`conf`	Empirical support for the high-density subset sum decision threshold. CWIT Thomas O'Neil, Travis Desell
2015	B	`conf`	Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization. EvoCOP Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
2015	Misc	`conf`	On the Effectiveness of Crowd Sourcing Avian Nesting Video Analysis at Wildlife@Home. ICCS Travis Desell, Kyle Goehner, Alicia Andes, Rebecca Eckroad, Susan Ellis-Felege
2015	B	`conf`	Searching the Human Genome for Snail and Slug with DNA@Home. e-Science Kristopher Zarns, Travis Desell, Sergei Nechaev, Archana Dhasarathy
2014	A	`conf`	Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data. PPSN Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
2013	B	`conf`	Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video. e-Science Travis Desell, Robert Bergman, Kyle Goehner, Ronald Marsh, Rebecca VanderClute, Susan Ellis-Felege
2009	—	`—`	Asynchronous global optimization for massive-scale computing. Travis Desell
2006	—	`ch.`	Approaches to Architecture-Aware Parallel Scientific Computation. Parallel Processing for Scientific Computing James D. Teresco, Joseph E. Flaherty, Scott B. Baden, Jamal Faik, Sébastien Lacour, Manish Parashar, Valerie E. Taylor, Carlos A. Varela, Xingfu Wu, Rick Stevens, Nicholas T. Karonis, Ian T. Foster, Luis G. Gervasio, Travis Desell, Kaoutar El Maghraoui