Travis Johnston - Concepedia

Author

Travis Johnston

Oak Ridge National Laboratory ORCID

Also Known As

J. Travis Johnston, Johnston, T., Johnston, Travis, T Johnston, T. Johnston, T.M. Johnston, Travis Johnston

Publications

476

Citations

H-Index

Concepts

All Affiliations

Oak Ridge National Laboratory University of Delaware Los Alamos National Laboratory Fermi National Accelerator Laboratory University of Tennessee at Knoxville

About

Travis Johnston is an author at Oak Ridge National Laboratory specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	205
2	Medicine	1	1	31
3	Social Sciences	1	1	119
4	Applied Physics	1	1	31
5	Cognitive Science	1	1	119

Travis Johnston

Publications

410

Citations

H-Index

Page 1

	Year	Citations
Object recognition memory in zebrafish Zacnicte May, Adam Morrill, Adam Holcombe, Behavioural Brain Research Cognitive ScienceNeural MechanismMemory SystemMemorySocial Sciences	2015	119
Evolving Deep Networks Using HPC Steven R. Young, Derek Rose, Travis Johnston, Artificial IntelligenceGeometric LearningConvolutional Neural NetworkHyperparameter SearchEngineering	2017	48
DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains Aleksandra Ćiprijanović, Diana Kafkes, Kathryn Downey, Monthly Notices of the Royal Astronomical Society	2021	43
Classifying and analyzing small-angle scattering data using weighted<i>k</i>nearest neighbors machine learning techniques Richard Archibald, Mathieu Doucet, Travis Johnston, Journal of Applied Crystallography EngineeringMachine LearningMachine Learning ToolUnsupervised Machine LearningClassification Method	2020	42
167-PFlops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation Robert M. Patton, Travis Johnston, Steven R. Young, EngineeringMachine LearningMicroscopyNanocomputing167-Pflops Deep Learning	2018	31
Optimizing Convolutional Neural Networks for Cloud Detection Travis Johnston, Steven R. Young, David Hughes, Convolutional Neural NetworkEngineeringMachine LearningN Network ConfigurationsRandom Search	2017	24
<i>In situ</i>data analytics and indexing of protein trajectories Travis Johnston, Boyu Zhang, Adam Liwo, Journal of Computational Chemistry	2017	20
Learning to Predict Material Structure from Neutron Scattering Data Cristina García–Cardona, Ramakrishnan Kannan, Travis Johnston, Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolData Science	2019	19
Boolean algebras and Lubell functions Travis Johnston, Linyuan Lü, Kevin G. Milans Journal of Combinatorial Theory Series A Circuit ComplexityAlgebraic LogicEngineeringBoolean FunctionBoolean Algebras	2015	14
Co-design Center for Exascale Machine Learning Technologies (ExaLearn) Francis J. Alexander, James Ang, Jenna A. Bilbrey, The International Journal of High Performance Computing Applications Artificial IntelligenceNew TechnologiesEngineeringMachine LearningAdvanced Computing	2021	14

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