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John W. Sheppard, Ph.D. - Publications

Affiliations: 
1997 Computer Science Johns Hopkins University, Baltimore, MD 
Area:
Machine learning, probabilistic graphical models, evolutionary algorithms, prognostics and health management
Website:
http://www.cs.montana.edu/sheppard
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74 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Dickson DW, Baker MC, Jackson JL, DeJesus-Hernandez M, Finch NA, Tian S, Heckman MG, Pottier C, Gendron TF, Murray ME, Ren Y, Reddy JS, Graff-Radford NR, Boeve BF, Petersen RC, ... ... Sheppard JW, et al. Extensive transcriptomic study emphasizes importance of vesicular transport in C9orf72 expansion carriers. Acta Neuropathologica Communications. 7: 150. PMID 31594549 DOI: 10.1186/S40478-019-0797-0  0.34
2019 Scherrer B, Sheppard J, Jha P, Shaw J. Hyperspectral Imaging and Neural Networks to Classify Herbicide-Resistant Weeds Journal of Applied Remote Sensing. 13. DOI: 10.1117/1.Jrs.13.044516  0.382
2019 Perreault L, Sheppard J. Compact Structures for Continuous Time Bayesian Networks International Journal of Approximate Reasoning. 109: 19-41. DOI: 10.1016/J.Ijar.2019.03.005  0.655
2018 Dehghanpour K, Nehrir HM, Sheppard JW, Kelly NC. Agent-Based Modeling of Retail Electrical Energy Markets with Demand Response Ieee Transactions On Smart Grid. 9. DOI: https://doi.org/10.1109/TSG.2016.2631453  0.227
2018 Dehghanpour K, Nehrir MH, Sheppard JW, Kelly NC. Agent-Based Modeling of Retail Electrical Energy Markets With Demand Response Ieee Transactions On Smart Grid. 9: 3465-3475. DOI: 10.1109/Tsg.2016.2631453  0.401
2018 Sheppard JW, Strasser S. Multiple fault diagnosis using factored evolutionary algorithms Ieee Instrumentation & Measurement Magazine. 21: 27-38. DOI: 10.1109/Mim.2018.8423743  0.768
2017 Strasser S, Sheppard J, Fortier N, Goodman R. Factored Evolutionary Algorithms,” IEEE Transactions on Evolutionary Computation Ieee Transactions On Evolutionary Computation. 21: 281-293. DOI: https://doi.org/10.1109/TEVC.2016.2601922  0.331
2017 Strasser S, Sheppard J, Fortier N, Goodman R. Factored Evolutionary Algorithms Ieee Transactions On Evolutionary Computation. 21: 281-293. DOI: 10.1109/Tevc.2016.2601922  0.685
2017 Sturlaugson L, Perreault L, Sheppard J. Factored Performance Functions and Decision Making in Continuous Time Bayesian Networks Journal of Applied Logic. 22: 28-45. DOI: 10.1016/J.Jal.2016.11.030  0.466
2017 Perreault L, Thornton M, Sheppard J, DeBruycker J. Disjunctive Interaction in Continuous Time Bayesian Networks International Journal of Approximate Reasoning. 90: 253-271. DOI: 10.1016/J.Ijar.2017.07.011  0.654
2016 Dehghanpour K, Nehrir MH, Sheppard JW, Kelly N. Agent-Based Decision Making in Electrical Energy Markets Using Dynamic Bayesian Networks and Sparse Bayesian Learning Ieee Transactions On Power Systems. 31: 4744-4754. DOI: https://doi.org/10.1109/TPWRS.2016.2524678  0.264
2016 Sturlaugson L, Sheppard JW. Uncertain Evidence in Continuous Time Bayesian Networks International Journal of Approximate Reasoning. 70: 99-122. DOI: https://doi.org/10.1016/j.ijar.2015.12.013  0.327
2016 Strasser S, Goodman R, Sheppard J, Butcher S. A new discrete Particle Swarm Optimization algorithm Gecco 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. 53-60. DOI: 10.1145/2908812.2908935  0.366
2016 Dehghanpour K, Nehrir MH, Sheppard JW, Kelly NC. Agent-Based Modeling in Electrical Energy Markets Using Dynamic Bayesian Networks Ieee Transactions On Power Systems. DOI: 10.1109/Tpwrs.2016.2524678  0.416
2016 Perreault LJ, Thornton M, Goodman R, Sheppard JW. A swarm-based approach to learning phase-type distributions for continuous time Bayesian networks Proceedings - 2015 Ieee Symposium Series On Computational Intelligence, Ssci 2015. 1860-1867. DOI: 10.1109/SSCI.2015.259  0.327
2016 Donnelly PJ, Sheppard JW. Cross-Dataset Validation of Feature Sets in Musical Instrument Classification Proceedings - 15th Ieee International Conference On Data Mining Workshop, Icdmw 2015. 94-101. DOI: 10.1109/ICDMW.2015.213  0.603
2016 Sturlaugson L, Sheppard JW. Uncertain and negative evidence in continuous time Bayesian networks International Journal of Approximate Reasoning. 70: 99-122. DOI: 10.1016/J.Ijar.2015.12.013  0.733
2015 Wang C, Miller CJ, Nehrir MH, Sheppard JW, McElmurry SP. A Load Profile Management Integrated Power Dispatch Using a Newton-Like Particle Swarm Optimization Method Sustainable Computing: Informatics and Systems. 8: 8-17. DOI: https://doi.org/10.1016/j.suscom.2014.10.001  0.236
2015 Fortier N, Sheppard JW, Strasser S. Abductive Inference in Bayesian Networks using Distributed Overlapping Swarm Intelligence Soft Computing. 19: 981-1001. DOI: https://doi.org/10.1007/s00500-014-1310-0  0.315
2015 Sturlaugson L, Sheppard JW. Sensitivity Analysis of Continuous Time Bayesian Network Reliability Models Journal of Uncertainty Quantification. 3: 346-369. DOI: 10.1137/140953848  0.736
2015 Perreault L, Wittie MP, Sheppard J. Communication-aware distributed PSO for dynamic robotic search Ieee Ssci 2014 - 2014 Ieee Symposium Series On Computational Intelligence - Sis 2014: 2014 Ieee Symposium On Swarm Intelligence, Proceedings. 65-72. DOI: 10.1109/SIS.2014.7011777  0.213
2015 King H, Fortier N, Sheppard JW. An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning Ieee Instrumentation and Measurement Magazine. 18: 18-24. DOI: 10.1109/Mim.2015.7155768  0.739
2015 Mitchell B, Tosun H, Sheppard J. Deep learning using partitioned data vectors Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280484  0.215
2015 Perreault L, Thornton M, Strasser S, Sheppard JW. Deriving prognostic continuous time Bayesian networks from D-matrices Autotestcon (Proceedings). 2015: 152-161. DOI: 10.1109/AUTEST.2015.7356482  0.464
2014 Donnelly PJ, Sheppard JW. Classification of Monophonic Musical Instruments Using Bayesian Networks Computer Music Journal. 37: 70-86. DOI: https://doi.org/10.1162/COMJ_a_00210  0.308
2014 Perreault L, Sheppard J, King H, Sturlaugson L. Using continuous-time Bayesian networks for standards-based diagnostics and prognostics Autotestcon (Proceedings). 198-204. DOI: 10.1109/AUTEST.2014.6935145  0.373
2014 Wang C, Miller CJ, Nehrir MH, Sheppard JW, McElmurry SP. A load profile management integrated power dispatch using a Newton-like particle swarm optimization method Sustainable Computing: Informatics and Systems. DOI: 10.1016/J.Suscom.2014.10.001  0.413
2014 Tosun H, Sheppard JW. Training restricted Boltzmann machines with overlapping partitions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8726: 195-208. DOI: 10.1007/978-3-662-44845-8_13  0.298
2013 Donnelly PJ, Sheppard JW. Classification of Musical Timbre Using Bayesian Networks Computer Music Journal. 37: 70-86. DOI: 10.1162/Comj_A_00210  0.664
2013 Schuh M, Sheppard J, Strasser S, Angryk R, Izurieta C. An IEEE standards-based visualization tool for knowledge discovery in maintenance event sequences Ieee Aerospace and Electronic Systems Magazine. 28: 30-39. DOI: 10.1109/Maes.2013.6559379  0.726
2013 Strasser S, Sheppard J. Diagnostic model maturation Ieee Aerospace and Electronic Systems Magazine. 28: 34-43. DOI: 10.1109/Maes.2013.6470443  0.761
2013 Sturlaugson LE, Sheppard JW. Principal component analysis preprocessing with Bayesian networks for battery capacity estimation Conference Record - Ieee Instrumentation and Measurement Technology Conference. 98-101. DOI: 10.1109/I2MTC.2013.6555389  0.357
2013 Sturlaugson L, Fortier N, Donnelly P, Sheppard JW. Implementing AI-ESTATE with prognostic extensions in Java Autotestcon (Proceedings). 306-313. DOI: 10.1109/AUTEST.2013.6645086  0.677
2013 Ryhajlo N, Sturlaugson L, Sheppard JW. Diagnostic Bayesian networks with fuzzy evidence Autotestcon (Proceedings). 242-249. DOI: 10.1109/AUTEST.2013.6645075  0.44
2012 Berwald J, Gedeon T, Sheppard J. Using Machine Learning to Predict Catastrophes in Dynamical Systems Journal of Applied Computational Mathematics. 236: 2235-2245. DOI: https://doi.org/10.1016/j.cam.2011.11.006  0.228
2012 Haberman B, Sheppard JW. Overlapping Particle Swarms for Energy-Efficient Routing in Sensor Networks Wireless Networks. 18: 351-363. DOI: https://doi.org/10.1007/s11276-011-0404-1  0.245
2012 Fortier N, Sheppard JW, Pillai KG. DOSI: Training artificial neural networks using overlapping swarm intelligence with local credit assignment 6th International Conference On Soft Computing and Intelligent Systems, and 13th International Symposium On Advanced Intelligence Systems, Scis/Isis 2012. 1420-1425. DOI: 10.1109/SCIS-ISIS.2012.6505078  0.363
2012 Pillai KG, Sheppard JW. Abductive inference in Bayesian belief networks using swarm intelligence 6th International Conference On Soft Computing and Intelligent Systems, and 13th International Symposium On Advanced Intelligence Systems, Scis/Isis 2012. 375-380. DOI: 10.1109/SCIS-ISIS.2012.6505074  0.392
2012 Donnelly PJ, Sturlaugson LE, Sheppard JW. A standards-based approach to gray-scale health assessment using fuzzy fault trees Autotestcon (Proceedings). 174-181. DOI: 10.1109/AUTEST.2012.6334529  0.651
2012 Berwald J, Gedeon T, Sheppard J. Using machine learning to predict catastrophes in dynamical systems Journal of Computational and Applied Mathematics. 236: 2235-2245. DOI: 10.1016/J.Cam.2011.11.006  0.401
2012 Haberman BK, Sheppard JW. Overlapping particle swarms for energy-efficient routing in sensor networks Wireless Networks. 18: 351-363. DOI: 10.1007/S11276-011-0404-1  0.397
2011 Pillai KG, Sheppard JW. Overlapping swarm intelligence for training artificial neural networks Ieee Ssci 2011 - Symposium Series On Computational Intelligence - Sis 2011: 2011 Ieee Symposium On Swarm Intelligence. 213-220. DOI: 10.1109/SIS.2011.5952566  0.345
2011 Tosun H, Sheppard JW. Incorporating evidence into trust propagation models using Markov Random Fields 2011 Ieee International Conference On Pervasive Computing and Communications Workshops, Percom Workshops 2011. 263-269. DOI: 10.1109/PERCOMW.2011.5766880  0.371
2011 Schuh M, Sheppard J, Strasser S, Angryk R, Izurieta C. Ontology-guided knowledge discovery of event sequences in maintenance data Autotestcon (Proceedings). 279-285. DOI: 10.1109/AUTEST.2011.6058745  0.315
2011 Strasser S, Sheppard J, Schuh M, Angryk R, Izurieta C. Graph-based ontology-guided data mining for D-matrix model maturation Ieee Aerospace Conference Proceedings. DOI: 10.1109/AERO.2011.5747579  0.445
2010 Sheppard JW, Butcher SGW, Donnelly PJ. Demonstrating semantic interoperability of diagnostic reasoners via AI-ESTATE Ieee Aerospace Conference Proceedings. DOI: 10.1109/AERO.2010.5446837  0.605
2009 Choi K, Singh S, Kodali A, Pattipati K, Sheppard JW, Namburu S, Chigusa S, Prokhorov D, Qiao L. Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems Ieee Transactions On Instrumentation and Measurement. 58: 602-611. DOI: https://doi.org/10.1109/TIM.2008.2004340  0.325
2009 Butcher SGW, Sheppard JW. Distributional smoothing in bayesian fault diagnosis Ieee Transactions On Instrumentation and Measurement. 58: 342-349. DOI: 10.1109/TIM.2008.928874  0.311
2009 Butcher SGW, Sheppard JW. Distributional Smoothing in Bayesian Fault Diagnosis Ieee Transactions On Instrumentation and Measurement. 58: 342-349. DOI: 10.1109/Tim.2008.928874  0.73
2009 Sheppard J. Special Section on the 2007 IEEE AUTOTESTCON Ieee Transactions On Instrumentation and Measurement. 58: 238-239. DOI: 10.1109/Tim.2008.2005945  0.382
2009 Choi K, Singh A, Kodali A, Pattipati KR, Sheppard JW, Namburu SM, Chigusa S, Prokhorov DV, Qiao L. Novel classifier fusion approaches for fault diagnosis in automotive systems Ieee Transactions On Instrumentation and Measurement. 58: 602-611. DOI: 10.1109/TIM.2008.2004340  0.354
2009 Sheppard JW, Kaufman MA, Wilmer TJ. IEEE Standards for Prognostics and Health Management Ieee Aerospace and Electronic Systems Magazine. 24: 34-41. DOI: 10.1109/Maes.2009.5282287  0.386
2009 Sheppard JW, Butcher SGW, Donnelly PJ. Standard diagnostic services for the ATS framework Autotestcon (Proceedings). 393-400. DOI: 10.1109/AUTEST.2009.5314012  0.601
2009 Sheppard JW, Butcher SGW, Donnelly PJ, Mitchell BR. Demonstrating semantic interoperability of diagnostic models via AI-ESTATE Ieee Aerospace Conference Proceedings. DOI: 10.1109/AERO.2009.4839685  0.633
2007 Choi K, Singh S, Kodali A, Pattipati KR, Sheppard JW, Namburu SM, Chigusa S, Prokhorov DV, Qiao L. Novel classifier fusion approahces for fault diagnosis in automotive systems Autotestcon (Proceedings). 260-269. DOI: 10.1109/Tim.2008.2004340  0.444
2007 Martin SR, Wright SE, Sheppard JW. Offline and online evolutionary bi-directional RRT algorithms for efficient re-planning in dynamic environments Proceedings of the 3rd Ieee International Conference On Automation Science and Engineering, Ieee Case 2007. 1131-1136. DOI: 10.1109/COASE.2007.4341761  0.346
2007 Sheppard JW, Butcher SGW. A Formal Analysis of Fault Diagnosis with DMatrices Journal of Electronic Testing: Theory and Applications. 23: 309-322. DOI: 10.1007/S10836-006-0628-7  0.437
2007 Sheppard JW, Butcher SGW. A formal analysis of fault diagnosis with D-matrices Journal of Electronic Testing: Theory and Applications (Jetta). 23: 309-322. DOI: 10.1007/s10836-006-0628-7  0.336
2005 Sheppard JW, Kaufman MA. A Bayesian Approach to Diagnostics and Prognostics from Built In Test Ieee Transactions On Instrumentation and Measurement. 54: 1003-1018. DOI: https://doi.org/10.1109/TIM.2005.847351  0.296
2005 Sheppard JW, Kaufman MA. A Bayesian approach to diagnosis and prognosis using built-in test Ieee Transactions On Instrumentation and Measurement. 54: 1003-1018. DOI: 10.1109/Tim.2005.847351  0.453
1998 Sheppard JW, Simpson WR. Managing conflict in system diagnosis Computer. 31: 69-76. DOI: 10.1109/2.660192  0.434
1998 Shombert LA, Sheppard JW. A Behavior Model for Next Generation Test Systems Journal of Electronic Testing, Theory and Applications. 13: 299-314. DOI: 10.1023/A:1008337903968  0.41
1998 Sheppard JW. Machine Learning. 33: 201-233. DOI: 10.1023/A:1007566607659  0.383
1997 Sheppard J. System Test Standards Committee Ieee Design & Test of Computers. 14: 89-90. DOI: 10.1109/Mdt.1997.573376  0.35
1997 Sheppard JW, Salzberg SL. Artificial Intelligence Review. 11: 343-370. DOI: 10.1023/A:1006597715165  0.575
1996 Sheppard JW. SCC20 attracts IEC participation Ieee Design & Test of Computers. 13: 2. DOI: 10.1109/Mdt.1996.10000  0.275
1995 Sheppard J. SCC20 to work with IEC Ieee Design & Test of Computers. 12: 10. DOI: 10.1109/MDT.1995.466363  0.207
1993 Sheppard JW, Simpson WR. Performing Effective Fault Isolation in Integrated Diagnostics Ieee Design and Test of Computers. 10: 78-90. DOI: 10.1109/54.211532  0.43
1993 Simpson WR, Sheppard JW. Fault Isolation in an Integrated Diagnostic Environment Ieee Design and Test of Computers. 10: 52-66. DOI: 10.1109/54.199805  0.444
1992 Simpson WR, Sheppard JW. System perspectwe on diagnostic testing Proceedings - International Test Conference. 1992: 547. DOI: 10.1109/TEST.1992.527868  0.261
1992 Sheppard JW, Simpson WR. Applying testability analysis for integrated diagnostics Ieee Design and Test of Computers. 9: 65-78. DOI: 10.1109/54.156160  0.435
1992 Simpson WR, Sheppard JW. System Testability Assessment for Integrated Diagnostics Ieee Design and Test of Computers. 9: 40-54. DOI: 10.1109/54.124516  0.424
1991 Simpson WR, Sheppard JW. System Complexity and Integrated Diagnostics Ieee Design and Test of Computers. 8: 16-30. DOI: 10.1109/54.84239  0.44
1991 Sheppard JW, Simpson WR. A Mathematical Model for Integrated Diagnostics Ieee Design and Test of Computers. 8: 25-38. DOI: 10.1109/54.107203  0.469
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