John W. Sheppard

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Shane StrasserJohns Hopkins UniversityVerified email at jhu.edu
Stephyn G. W. ButcherThe Johns Hopkins UniversityVerified email at jhu.edu
Giorgio MoralesMontana State UniversityVerified email at student.montana.edu
Logan PerreaultComputer Science PhD Student, Montana State UniversityVerified email at msu.montana.edu
Nathan FortierDirector of Research, Golden HelixVerified email at goldenhelix.com
Patrick J DonnellyOregon State UniversityVerified email at osucascades.edu
Joseph A. ShawDistinguished Professor of Optics and Electrical Engineering, Montana state UniversityVerified email at montana.edu
Bruce MaxwellProfessor of Weed Ecology, Montana State UniversityVerified email at montana.edu
Hashem NehrirResearch Professor, Electrical Engineering Department, Montana State UniversityVerified email at montana.edu
Rafal AngrykDistinguished Professor of Computer Science, Georgia State UniversityVerified email at cs.montana.edu
Clemente IzurietaProfessor of Computer Science, Gianforte School of Computing, Montana State UniversityVerified email at montana.edu
Krishna PattipatiDistinguished Professor Emeritus, Dept. of ECEVerified email at uconn.edu
Jacob SenecalSoftware Engineer, Figure TechnologiesVerified email at figure.com
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Karthik Ganesan PillaiDepartment of Computer Science, Montana State UniversityVerified email at cs.montana.edu
Riley D. LoganResearch Engineer, Montana State UniversityVerified email at montana.edu
Brian HabermanJohns Hopkins UniversityVerified email at jhuapl.edu
Ben MitchellPhD student, Johns Hopkins UniversityVerified email at cs.jhu.edu
Sean MartinSenior Engineer, Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
Brian E HowardSciome, LLCVerified email at sciome.com

John W. Sheppard

NACOE Distinguished Professor of Computer Science, Montana State University

Verified email at montana.edu - Homepage

Machine Learning Data Science Evolutionary Computation Deep Learning Prognostics and Health Management


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
System test and diagnosis WR Simpson, JW Sheppard Springer Science & Business Media, 1994	246*	1994
A Formal Analysis of Fault Diagnosis with D-matrices JW Sheppard, SGW Butcher Journal of Electronic Testing 23, 309-322, 2007	224	2007
IEEE standards for prognostics and health management JW Sheppard, MA Kaufman, TJ Wilmering Aerospace and Electronic Systems Magazine, IEEE 24 (9), 34-41, 2009	212	2009
Method and apparatus for diagnostic testing including a neural network for determining testing sufficiency JW Sheppard, WR Simpson, JL Graham US Patent 5,130,936, 1992	169	1992
Agent-based modeling of retail electrical energy markets with demand response K Dehghanpour, MH Nehrir, JW Sheppard, NC Kelly IEEE Transactions on Smart Grid 9 (4), 3465-3475, 2018	143	2018
A new discrete particle swarm optimization algorithm S Strasser, R Goodman, J Sheppard, S Butcher Proceedings of the Genetic and Evolutionary Computation Conference 2016, 53-60, 2016	87	2016
Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques S Singh, A Kodali, K Choi, K Pattipati, SM Namburu, SC Sean, ... 18th International Workshop on Principles of Diagnosis, 383, 2007	87	2007
A Bayesian approach to diagnosis and prognosis using built-in test JW Sheppard, MA Kaufman IEEE Transactions on Instrumentation and Measurement 54 (3), 1003-1018, 2005	85	2005
A Mathematical Model for Integrated Diagnostics JW Sheppard, WR Simpson IEEE Design & Test of Computers 8 (4), 25-38, 1991	82	1991
Novel classifier fusion approaches for fault diagnosis in automotive systems K Choi, S Singh, A Kodali, KR Pattipati, JW Sheppard, SM Namburu, ... IEEE Transactions on Instrumentation and Measurement 58 (3), 602-611, 2008	74	2008
Factored evolutionary algorithms S Strasser, J Sheppard, N Fortier, R Goodman IEEE Transactions on Evolutionary Computation 21 (2), 281-293, 2017	67	2017
Agent-Based Modeling in Electrical Energy Markets Using Dynamic Bayesian Networks K Dehghanpour, MH Nehrir, JW Sheppard, NC Kelly Transaction on Power Systems, 2016	67	2016
Comparing Frequency- and Style-Based Features for Twitter Author Identification R Green, JW Sheppard Proc. of the 26th FLAIRS Conf, 2013	67	2013
Evolving four-part harmony using genetic algorithms P Donnelly, J Sheppard Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011	64	2011
Offline and online evolutionary bi-directional RRT algorithms for efficient re-planning in dynamic environments SR Martin, SE Wright, JW Sheppard 2007 IEEE International Conference on Automation Science and Engineering …, 2007	57	2007
System complexity and integrated diagnostics WR Simpson, JW Sheppard Design & Test of Computers, IEEE 8 (3), 16-30, 1991	57	1991
Extensive transcriptomic study emphasizes importance of vesicular transport in C9orf72 expansion carriers DW Dickson1, MC Baker, JL Jackson, M DeJesus-Hernandez, NCA Finch, ... Acta Neuropathologica Communications 7, 1-21, 2019	51	2019
Hyperspectral imaging and neural networks to classify herbicide-resistant weeds B Scherrer, J Sheppard, P Jha, JA Shaw Journal of Applied Remote Sensing 13 (4), 044516-044516, 2019	49	2019
Bayesian diagnosis and prognosis using instrument uncertainty JW Sheppard, MA Kaufman IEEE Autotestcon, 2005., 417-423, 2005	43	2005
A teaching strategy for memory-based control JW Sheppard, SL Salzberg Lazy Learning, 343-370, 1997	43	1997

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