Travis Desell

Travis Desell

Rochester Institute of Technology

H-index: 21

North America-United States

About Travis Desell

Travis Desell, With an exceptional h-index of 21 and a recent h-index of 15 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Neuroevolution, Evolutionary Algorithms, Data Science, Scientific Computing, High Performance Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Minimally supervised learning using topological projections in self-organizing maps

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms

Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection

Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization

Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys

Backpropagation-free 4D continuous ant-based neural topology search

Travis Desell Information

University

Position

Associate Professor

Citations(all)

1779

Citations(since 2020)

967

Cited By

1197

hIndex(all)

21

hIndex(since 2020)

15

i10Index(all)

53

i10Index(since 2020)

29

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Travis Desell Skills & Research Interests

Neuroevolution

Evolutionary Algorithms

Data Science

Scientific Computing

High Performance Computing

Top articles of Travis Desell

Title

Journal

Author(s)

Publication Date

Minimally supervised learning using topological projections in self-organizing maps

arXiv preprint arXiv:2401.06923

Zimeng Lyu

Alexander Ororbia

Rui Li

Travis Desell

2024/1/12

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

arXiv preprint arXiv:2402.12465

Hitesh Vaidya

Travis Desell

Ankur Mali

Alexander Ororbia

2024/2/19

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

arXiv preprint arXiv:2402.11185

Zimeng Lyu

Pujan Thapa

Travis Desell

2024/2/17

Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms

Joshua Karns

Travis Desell

2023/7/15

Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection

arXiv preprint arXiv:2303.04115

Hong Yang

William Gebhardt

Alexander G Ororbia

Travis Desell

2023/3/7

Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization

Aditya Shankar Thakur

Akshar Bajrang Awari

Zimeng Lyu

Travis Desell

2023/12/5

Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys

Diabetes Research and Clinical Practice

Bill Cassidy

Moi Hoon Yap

Joseph M Pappachan

Naseer Ahmad

Samantha Haycocks

...

2023/11/1

Backpropagation-free 4D continuous ant-based neural topology search

Applied Soft Computing

AbdElRahman ElSaid

Karl Ricanek

Zimeng Lyu

Alexander Ororbia

Travis Desell

2023/11/1

Online evolutionary neural architecture search for multivariate non-stationary time series forecasting

Applied Soft Computing

Zimeng Lyu

Alexander G. Ororbia

Travis Desell

2023/6/15

Co-evolving recurrent neural networks and their hyperparameters with simplex hyperparameter optimization

Amit Dilip Kini

Swaraj Sambhaji Yadav

Aditya Shankar Thakur

Akshar Bajrang Awari

Zimeng Lyu

...

2023/7/15

Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets

Farhad Akhbardeh

Marcos Zampieri

Cecilia Ovesdotter Alm

Travis Desell

2022

Search-based detection of code changes introducing performance regression

Swarm and Evolutionary Computation

Deema Alshoaibi

Mohamed Wiem Mkaouer

Ali Ouni

AbdulMutalib Wahaishi

Travis Desell

...

2022/8/1

Optimized flight safety event detection in the national general aviation flight information database

Aidan P LaBella

Joshua A Karns

Farhad Akhbardeh

Travis Desell

Andrew J Walton

...

2022/4/25

ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting

Zimeng Lyu

Travis Desell

2022/7/9

Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning

Michael Kogan

Joshua Karns

Travis Desell

2022/4/15

Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics

Aizaz Ul Haq

Niranjana Deshpande

AbdElRahman ElSaid

Travis Desell

Daniel E. Krutz

2022/7

Robust augmentation for multivariate time series classification

arXiv preprint arXiv:2201.11739

Hong Yang

Travis Desell

2022/1/27

Reducing catastrophic forgetting in self organizing maps with internally-induced generative replay (student abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Hitesh Vaidya

Travis Desell

Alexander G Ororbia

2022/6/28

A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID

arXiv preprint arXiv:2210.07317

Hong Yang

Travis Desell

2022/10/13

Predictive maintenance for general aviation using convolutional transformers

Proceedings of the AAAI Conference on Artificial Intelligence

Hong Yang

Aidan LaBella

Travis Desell

2022/6/28

See List of Professors in Travis Desell University(Rochester Institute of Technology)

Co-Authors

H-index: 100
David P. Anderson

David P. Anderson

University of California, Berkeley

H-index: 67
Boleslaw Szymanski

Boleslaw Szymanski

Rensselaer Polytechnic Institute

H-index: 28
Carlos Varela

Carlos Varela

Rensselaer Polytechnic Institute

H-index: 16
Susan Ellis-Felege

Susan Ellis-Felege

University of North Dakota

H-index: 10
AbdElRahman ElSaid

AbdElRahman ElSaid

Rochester Institute of Technology

H-index: 7
Brandon Wild

Brandon Wild

University of North Dakota

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