Travis Desell

Travis Desell

Associate Professor
Golisano College of Computing and Information Sciences
Software Engineering

2020 Submissions

Journal Paper

Desell, Travis, et al. "Long Term Predictions of Coal Fired Power Plant Data Using Evolved Recurrent Neural Networks." Automatisierungstechnik 68. 2 (2020): 130-139. Print. * ∆

Book Chapter

Desell, Travis, AbdElRahman ElSaid, and Alexander Ororbia. "Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution." Deep Neural Evolution – Deep Learning with Evolutionary Computation. Ed. Nasimul Noman and Hitoshi Iba. N/A, N/A: Springer, 2020. 36. Print. * ∆

Published Conference Proceedings

ElSaid, AbdElRahman, Alexander Ororbia, and Travis Desell. "Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks." Proceedings of the 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020). Ed. Unknown. N/A, N/A: n.p., Print. «

ElSaid, AbdElRahman, et al. "Neuro-Evolutionary Transfer Learning through Structural Adaptation." Proceedings of the 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020). Ed. Unknown. N/A, N/A: n.p., Print. «

2019 Submissions

Journal Paper

Bowley, Connor, et al. "An Analysis of Altitude, Citizen Science and a Convolutional Neural Network Feedback Loop on Object Detection in Unmanned Aerial Systems." Journal of Computational Science 34. 19 (2019): 102-116. Print. * ∆

Published Conference Proceedings

Desell, Travis, AbdElRahman ElSaid, and Alexander Ororbia. "An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution." Proceedings of the 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020. Ed. Unknown. n.p., Print. «

Ororbia, Alexander, AbdElRahman ElSaid, and Travis Desell. "Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution." Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019). Ed. Unknown. n.p., Print. «

ElSaid, AbdElRahman, et al. "Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters." Proceedings of the 22nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2019). Ed. Unknown. n.p., Print. «

ElSaid, AbdElRahman, Daniel Krutz, and Travis Desell. "Is Adaptivity a Core Property of Intelligent Systems? It Depends." Proceedings of the 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). Ed. Unknown. n.p., Print. *

2018 Submissions

Journal Paper

Desell, Travis. "Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization." arXiv Neural and Evolutionary Computing (cs.NE). (2018): 20. Web.

Weiss, Jake, et al. "Fitting the Density Substructure of the Stellar Halo with MilkyWay@home." The Astrophysical Journal: Supplement Series 238. 2 (2018): 17. Print. *