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Author

Michael Smith

Observed names: M. Hamblin Smith, Smith, Michael, Smith, Michael; Hamel, Michael; Hannasch, David; Thomas, Maikael(IAEA); Gaitan-Cardenas, Maria, Smith, Michael; Krishnakumar, Raga; Lubars, Joseph; Verzi, Stephen; Zhou, Xin; Goyal, Akul
Observed institutions: Argonne National Laboratory, Oak Ridge National Laboratory, United States Department of Commerce, Harvard University, Office of Scientific and Technical Information, Pacific Northwest National Laboratory, University of St Andrews, University of New Mexico, Sandia National Laboratories California, Brookhaven National Laboratory, Sandia National Laboratories, National Technical Information Service, McGill University, University of Sheffield, Bournemouth University
ORCID: 0009-0007-1770-1822
Observed ORCID: 0009-0007-1770-1822
OpenAlex ID: A5102021024
Tangible User Interfaces for Enhancing User Experience of Virtual Reality Cultural Heritage Applications for Utilization in Educational Environment
2023 · Vedad Hulusic, Linda Gusia, et al. · Journal on Computing and Cultural Heritage · 79
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Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment
2022 · Megan Nyre-Yu, Elizabeth Morris, et al. · Workshop on Usable Security (USEC) · 22
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SHARP Assembly-Scale Multiphysics Demonstration Simulations
2013 · Timothy Tautges, USDOE Office of Nuclear Energy (NE), Nuclear Energy Advanced Modeling and Simulation (NEAMS), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 6
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Considerations for Deploying xAI Tools in the Wild: Lessons Learned from xAI Deployment in a Cybersecurity Operations Setting.
2021 · Megan Nyre-Yu, Elizabeth Morris, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 5
Virtual Interaction with Physics Enhanced Reality (VIPER): Using Augmented Reality to Visualize and Interact with Ionizing Radiation Data
2022 · Michael Smith, M. Greenwood, et al. · Transactions of the American Nuclear Society · 4
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A Retrospect on Achievements Following an Onerous Retraction
2014 · Robert Baker, Ronald Van den bussche, et al. · The Winnower · 3
Uncertainty estimation in Deep Learning for Panoptic segmentation
2023 · Smith, Michael, Ferrie, Frank · arXiv (Cornell University) · 2
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Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
2023 · Benjamin Kompa, Joe B. Hakim, et al. · Drug Safety · 2
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Adjoint-aided inference of Gaussian process driven differential equations
2022 · Gahungu, Paterne, Lanyon, Christopher W, et al. · arXiv (Cornell University) · 2
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Design and technical validation of a low-cost, titanium sheet metal TORP (SM-T) for manufacturing and use in LMICs– ERRATUM
2026 · Arjan J. Knulst, Vivian van Asperen, et al. · The Journal of Laryngology & Otology · 1
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All Models are Wrong, but Some(times) are Useful: Evaluating when Machine Learning Models are Useful for Detecting Novel Malware in the Wild.
2023 · Smith, Michael; Krishnakumar, Raga; Lubars, Joseph; Verzi, Stephen; Zhou, Xin; Goyal, Akul · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1
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Reading to Learn
2017 · Sheila Harri-Augstein, Michael Smith, et al. · Routledge eBooks · 1
ORNL Laboratory Directed Research and Development Program FY 2008 Annual Report
2009 · Joanna McFarlane, USDOE, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1
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Brown [née Bartley], Patricia Marjorie (1919–2021), code-breaker and Foreign Office official
2025 · Michael Smith · Oxford University Press eBooks
Geometric Measures of Trustworthiness for Machine Learning Predictions
2024 · Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Michael Smith, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
A Small Accounting Firm Must Meet the Challenge Posed by Artificial Intelligence
2024 · Michael Smith · Information Systems Education Journal
Requirements Description of GAMSOR and GAMSRC
2023 · Kyle Ramey, USDOE Office of Nuclear Energy (NE), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Requirements Description of VARPOW
2023 · Kyle Ramey, USDOE Office of Nuclear Energy (NE), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Identifying and Explaining Anomalous Activity in Surveillance Video with Compression Algorithms
2023 · Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Michael Smith, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Code Coverage Status of ARC Code-DIF3D
2023 · Zhaopeng Zhong, USDOE Office of Nuclear Energy (NE), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Synthetic Malware Generation to Improve Machine Learning-based Behavior Detection
2023 · Michael Smith · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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5-10 Years Cross-cutting Priorities on the Topic of Nuclear Data Covariances and Uncertainty Quantification for Users
2023 · Denise Neudecker, USDOE Office of Science (SC), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors
2022 · Michael Smith, Armida Carbajal, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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A Deep Learning Workflow for Spatio-Temporal Anomaly Detection in NGSS Camera Data .
2022 · Smith, Michael; Hamel, Michael; Hannasch, David; Thomas, Maikael(IAEA); Gaitan-Cardenas, Maria · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors.
2021 · Stephen Verzi, Nicholas Johnson, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Works count: 44
Citation count: 129
H-index: 4
I10-index: 2
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