Stephen J. Verzi

Senior Member of Technical Staff

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Senior Member of Technical Staff

sjverzi@sandia.gov

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(505) 844-0063

Biography

Stephen J. Verzi earned his PhD from the University of New Mexico in computer science, with a focus in neural network design and analysis at Sandia. His professional experience in algorithm development and computational modeling spans many application domains: artificial intelligence, machine learning, information retrieval and multilingual text analysis, neural function including the hippocampus and its substructures, system dynamics models of human behavior via the theory of planned behavior expressed using the mathematics of qualitative choice theory, individual-based and dynamical systems modeling, resilience metrics and their application in critical infrastructure, hospital evacuation and neural network dynamics, game-theoretic and agent-based models of adversarial behavior, and most recently exploring neural-inspired computation via phase-coding with application to image and video processing including anomaly detection as well as the application of adversarial reinforcement learning in grid resilience stability modeling. He helped develop and validate a population health effects model for the FDA/CTP currently used in policy-making there. He has over 45 peer-reviewed publications spanning the last 25 years.

Education

  • Ph.D., Computer Science, University of New Mexico – 2003
  • Master of Science, Computer Science, University of New Mexico – 1990
  • Bachelor of Science, Computer Science, December 1987

Publications

  • Kadeethum, T., Verzi, S.J., Yoon, H., & Yoon, H. (2023). Improved neural operators for fast and accurate pressure and saturation prediction at the IBDP site [Conference Poster]. https://doi.org/10.2172/2463058 Publication ID: 131744
  • Lubars, J., Preger, Y., de Angelis, V., Verzi, S.J., & Verzi, S.J. (2023). Battery Cycle Life Prediction Across a Variety of Datasets [Conference Presenation]. https://doi.org/10.2172/2430703 Publication ID: 126416
  • Katinas, C.M., Finley, P.D., Hare, A., Verzi, S.J., Slater, J.T., Silva, A.R., Reichardt, T.A., Timlin, J.A., & Timlin, J.A. (2023). Utilizing Physics-informed and Machine Learning Methods to Enhance Remote Monitoring of Physiological Signatures [Conference Presenation]. https://doi.org/10.2172/2430787 Publication ID: 126684
  • Krofcheck, D.J., Naugle, A.B., Verzi, S.J., Steinmetz, S.T., & Steinmetz, S.T. (2023). An overview of Foundation models: From Stable Diffusion to chatGPT and beyond [Conference Presenation]. https://doi.org/10.2172/2430808 Publication ID: 126764
  • Cauthen, K.R., John, E.W.L., Lubars, J., Verzi, S.J., Jimenez, E.S., Forrest, R., & Forrest, R. (2023). Synthesizing X-Ray images for training automated threat recognition algorithms [Conference Presenation]. https://doi.org/10.2172/2431322 Publication ID: 128616
  • Naugle, A.B., Krofcheck, D.J., Warrender, C., Lakkaraju, K., Swiler, L.P., Verzi, S.J., Emery, B., Murdock, J., Bernard, M., Romero, V., & Romero, V. (2023). What can simulation test beds teach us about social science? Results of the ground truth program. Computational and Mathematical Organization Theory, 29(1), pp. 242-263. https://doi.org/10.1007/s10588-021-09349-6 Publication ID: 80604
  • Timlin, J.A., Katinas, C.M., Slater, J.T., Hare, A.T., Verzi, S.J., Finley, P.D., Reichardt, T.A., & Reichardt, T.A. (2023). Remote Monitoring of Physiological Signatures: The Impact of Hyperspectral Imaging [Conference Poster]. https://doi.org/10.2172/2431728 Publication ID: 129932
  • Naugle, A.B., Verzi, S.J., Lakkaraju, K., Swiler, L.P., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2023). Feedback density and causal complexity of simulation model structure. Journal of Simulation, 17(3), pp. 229-239. https://doi.org/10.1080/17477778.2021.1982653 Publication ID: 75723
  • Naugle, A.B., Rothganger, F., Verzi, S.J., Doyle, C.L., & Doyle, C.L. (2022). Conflicting Information and Compliance With COVID-19 Behavioral Recommendations. https://doi.org/10.2172/1894426 Publication ID: 80392
  • Smith, M.R., Carbajal, A.J., Domschot, E., Johnson, N.T., Goyal, A., Lamb, C., Lubars, J., Kegelmeyer, W.P., Krishnakumar, R., Quynn, S., Ramyaa, R., Verzi, S.J., Zhou, X., & Zhou, X. (2022). MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors. https://doi.org/10.2172/1893244 Publication ID: 80379
  • Smith, M.R., Krishnakumar, R., Lubars, J., Verzi, S.J., Zhou, X., Goyal, A., & Goyal, A. (2022). All Models are Wrong, but Some(times) are Useful: Evaluating when Machine Learning Models are Useful for Detecting Novel Malware in the Wild [Conference Paper]. https://www.osti.gov/biblio/2005426 Publication ID: 119144
  • Timlin, J.A., Katinas, C.M., Slater, J.T., Verzi, S.J., Finley, P.D., Silva, A.R., Reichardt, T.A., & Reichardt, T.A. (2022). Multi-modal Imaging for Remote Detection of Human Vital Signs: Towards Long Range Monitoring [Conference Presenation]. https://doi.org/10.2172/2005891 Publication ID: 120316
  • Preger, Y., Derin, I., Lubars, J., Verzi, S.J., Torres-Castro, L., Lin, L., Wang, H., de Angelis, V., & de Angelis, V. (2022). BatteryArchive.org ? A Public Repository to Accelerate Development of Energy Storage Systems [Conference Poster]. https://doi.org/10.2172/2005264 Publication ID: 118512
  • Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., Warrender, C., Romero, V., & Romero, V. (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures. https://doi.org/10.2172/1884926 Publication ID: 80095
  • Guttromson, R., Verzi, S.J., Sorensen, A.H., & Sorensen, A.H. (2022). Using Reinforcement Learning to Increase Grid Security under Contingency Conditions [Conference Presenation]. https://doi.org/10.2172/2003903 Publication ID: 114892
  • Naugle, A.B., Sorensen, A.H., Rothganger, F., Verzi, S.J., Doyle, C., Krofcheck, D.J., & Krofcheck, D.J. (2022). Trust in Influence Dynamics: Using Reinforcement Learning to Evaluate Defense Strategies [Conference Poster]. https://doi.org/10.2172/2003961 Publication ID: 115116
  • Gunda, T., Caskey, S.A., Verzi, S.J., Wachtel, A., Howell, R., Galloway, H., Gonzalez, O., Jarvenpaa, S., Srinivasan, R., Lui, A., Akinyemi, J., Wong, L., & Wong, L. (2022). Resilience to Disinformation: Quantify and Improve Organizational Security Postures [Presentation]. https://www.osti.gov/biblio/2003630 Publication ID: 113828
  • Naugle, A.B., Russell, A., Lakkaraju, K., Swiler, L.P., Verzi, S.J., Romero, V., & Romero, V. (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods.. Computational and Mathematical Organization Theory, 29(1), pp. 1-16. https://doi.org/10.1007/s10588-021-09346-9 Publication ID: 80622
  • Verzi, S.J., Krishnakumar, R., Levin, D., Krofcheck, D.J., Williams, K.P., & Williams, K.P. (2022). Data Science and Machine Learning for Genome Security. https://doi.org/10.2172/1855003 Publication ID: 75932
  • Livesay, M., Verzi, S.J., Pless, D., Stamber, K.L., Lilje, A., & Lilje, A. (2022). A Theoretical Approach for Reliability Within Information Supply Chains with Cycles and Negations. IEEE Transactions on Reliability, 71(1), pp. 404-414. https://doi.org/10.1109/tr.2021.3068737 Publication ID: 77767
  • Verzi, S.J., Guttromson, R., Sorensen, A.H., & Sorensen, A.H. (2022). Using Reinforcement Learning to Increase Grid Security Under Contingency Conditions [Conference Paper]. 2022 IEEE Kansas Power and Energy Conference, KPEC 2022. https://doi.org/10.1109/KPEC54747.2022.9814746 Publication ID: 110456
  • Verzi, S.J., Guttromson, R., Sorensen, A.H., & Sorensen, A.H. (2022). Using Reinforcement Learning to Increase Grid Security Under Contingency Conditions [Conference Presenation]. 2022 IEEE Kansas Power and Energy Conference, KPEC 2022. https://doi.org/10.2172/2002384 Publication ID: 110468
  • Verzi, S.J., Johnson, N., Khanna, K., Zhou, X., Quynn, S., Krishnakumar, R., Smith, M.R., & Smith, M.R. (2021). Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors [Conference Presenation]. https://doi.org/10.2172/1899508 Publication ID: 76852
  • Thorpe, J., Musuvathy, S., Verzi, S.J., Vugrin, E., Dykstra, M., Sahakian, M., & Sahakian, M. (2021). GAMVT: A Generative Algorithm for MultiVariate Timeseries Data [Conference Paper]. https://www.osti.gov/biblio/1886761 Publication ID: 75585
  • Yoon, H., Verzi, S.J., Cauthen, K.R., Musuvathy, S., Melander, D., Norland, K., Morales, A.M., Lee, J., Sun, A., & Sun, A. (2021). Predictive Data-driven Platform for Subsurface Energy Production. https://doi.org/10.2172/1821788 Publication ID: 75611
  • Matteo, E.N., Conley, D., Verzi, S.J., Roberts, B.L., Doyle, C.L., Sobolik, S., Gilletly, S.D., Bauer, S.J., Pyrak-Nolte, L.J., Reda Taha, M.M., Stormont, J.C., Crandall, D., Moriarty, D., John, E.W.L., Wilson, J.E., Bettin, G., Hogancamp, J., Fernandez, S.G., Anwar, I., … Bland, J. (2021). Advanced Detection of Wellbore Failure for Safe and Secure Utilization of Subsurface Infrastructure. https://doi.org/10.2172/1820250 Publication ID: 75660
  • Naugle, A.B., Doyle, C.L., Sweitzer, M.D., Rothganger, F., Verzi, S.J., Lakkaraju, K., Kittinger, R., Bernard, M., Chen, Y., Loyal, J., Mueen, A., & Mueen, A. (2021). Emergent Recursive Multiscale Interaction in Complex Systems. https://doi.org/10.2172/1821796 Publication ID: 75722
  • Sahakian, M., Musuvathy, S., Thorpe, J., Verzi, S.J., Vugrin, E., Dykstra, M., & Dykstra, M. (2021). Threat data generation for space systems [Conference Presenation]. Proceedings – 2021 IEEE Space Computing Conference, SCC 2021. https://doi.org/10.2172/1873278 Publication ID: 78832
  • Sahakian, M., Musuvathy, S., Thorpe, J., Verzi, S.J., Vugrin, E., Dykstra, M., & Dykstra, M. (2021). Threat data generation for space systems [Conference Paper]. Proceedings – 2021 IEEE Space Computing Conference, SCC 2021. https://doi.org/10.1109/SCC49971.2021.00018 Publication ID: 78837
  • Johnson, N., Domschot, E., Khanna, K., Kegelmeyer, W.P., Lamb, C., Ramyaa, R., Smith, M.R., Verzi, S.J., Zhou, X., Carbajal, A.J., Haus, B., Ingram, J.B., & Ingram, J.B. (2021). Going Beyond Signature Malware Detection by Learning Behaviors [Conference Presenation]. https://doi.org/10.2172/1884420 Publication ID: 79195
  • Doyle, C.L., Gilletly, S.D., Verzi, S.J., Matteo, E.N., Roberts, B.L., Sobolik, S., Moriarty, D., & Moriarty, D. (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure [Conference Presenation]. https://doi.org/10.2172/1882311 Publication ID: 79257
  • Verzi, S.J., Guttromson, R., Sorensen, A.H., Jones, C.B., & Jones, C.B. (2021). AlphaGrid: Grid Stability Using Machine Learning State Space Navigation [Presentation]. https://www.osti.gov/biblio/1877788 Publication ID: 79260
  • Verzi, S.J., Krishnakumar, R., Levin, D., Krofcheck, D.J., Boskin, C., Williams, K.P., & Williams, K.P. (2021). Data Science for Characterization of Genome Noise/Mutation [Presentation]. https://www.osti.gov/biblio/1884061 Publication ID: 79291
  • Verzi, S.J., Krishnakumar, R., Levin, D., Krofcheck, D.J., Boskin, C., Williams, K.P., & Williams, K.P. (2021). Data Science for Detection of Genome Editing [Presentation]. https://www.osti.gov/biblio/1889012 Publication ID: 79387
  • Matteo, E.N., Roberts, B.L., Sobolik, S., Gilletly, S.D., Doyle, C.L., John, E.W.L., Verzi, S.J., & Verzi, S.J. (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure [Slides] [Conference Presenation]. https://doi.org/10.2172/1869382 Publication ID: 78527
  • Matteo, E.N., Roberts, B.L., Sobolik, S., Gilletly, S.D., Doyle, C.L., John, E.W.L., Verzi, S.J., & Verzi, S.J. (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure [Slides] [Conference Presenation]. https://doi.org/10.2172/1869384 Publication ID: 78530
  • Rothganger, F., Naugle, A.B., Verzi, S.J., & Verzi, S.J. (2021). Behavioral Feedback in Disease Dynamics [Presentation]. https://www.osti.gov/biblio/1843095 Publication ID: 75171
  • Yoon, H., Melander, D., Verzi, S.J., & Verzi, S.J. (2021). Machine learning application for permeability estimation of three-dimensional rock images [Conference Presenation]. CEUR Workshop Proceedings. https://doi.org/10.2172/1859688 Publication ID: 77750
  • Bachman, W.B., Verzi, S.J., Johnson, N.T., Khanna, K., Zhou, X., Quynn, S., Krishnakumar, R., & Krishnakumar, R. (2021). Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection [Conference Paper]. Proceedings – 2021 IEEE International Conference on Big Data, Big Data 2021. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85125338890&origin=inward Publication ID: 111412
  • Smith, M.R., Johnson, N., Ingram, J.B., Carbajal, A.J., Haus, B.I., Domschot, E., Ramyaa, R., Lamb, C., Verzi, S.J., Kegelmeyer, W.P., & Kegelmeyer, W.P. (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis [Conference Presenation]. AISec 2020 – Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security. https://doi.org/10.2172/1831009 Publication ID: 71665
  • Melander, D., Yoon, H., Verzi, S.J., & Verzi, S.J. (2020). Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images [Conference Poster]. https://doi.org/10.2172/1833497 Publication ID: 71969
  • Sahakian, M., Thorpe, J., Verzi, S.J., Musuvathy, S., Vugrin, E., Dykstra, M., Umbenhower, M.L., & Umbenhower, M.L. (2020). AIRSS: Adaptive Intrusion Response for Space Systems [Presentation]. https://www.osti.gov/biblio/1830982 Publication ID: 71304
  • Smith, M.R., Johnson, N., Ingram, J.B., Carbajal, A.J., Haus, B.I., Domschot, E., Ramyaa, R., Lamb, C., Verzi, S.J., Kegelmeyer, W.P., & Kegelmeyer, W.P. (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis [Conference Poster]. https://doi.org/10.1145/3411508.3421373 Publication ID: 73995
  • Thorpe, J., Sahakian, M., Musuvathy, S., Verzi, S.J., Dykstra, M., Vugrin, E., & Vugrin, E. (2020). Threat Data Generation for a More Resilient Response [Conference Poster]. https://www.osti.gov/biblio/1811432 Publication ID: 74238
  • Sweitzer, M.D., Kittinger, R., Doyle, C.L., Naugle, A.B., Lakkaraju, K., Rothganger, F., Verzi, S.J., & Verzi, S.J. (2020). Communicative Vibration: A Graph-Theoretic Approach to Group Stability in an Online Social Network [Conference Poster]. https://www.osti.gov/biblio/1811443 Publication ID: 74242
  • Naugle, A.B., Rothganger, F., Verzi, S.J., & Verzi, S.J. (2020). Conflicting Information and Compliance With COVID-19 Stay-At-Home Orders [Conference Poster]. https://www.osti.gov/biblio/1811614 Publication ID: 74254
  • Smith, M.R., Carbajal, A.J., Domschot, E., Haus, B.I., Ingram, J.B., Johnson, N., Kegelmeyer, W.P., Lamb, C., Ramyaa, R., Verzi, S.J., & Verzi, S.J. (2020). MalGen: On Bridging the Semantic Gap between Machine Learning and Malware Analysis [Conference Poster]. https://www.osti.gov/biblio/1811972 Publication ID: 74314
  • Smith, M.R., Johnson, N., Ingram, J.B., Carbajal, A.J., Ramyaa, R., Domschot, E., Lamb, C., Verzi, S.J., Kegelmeyer, W.P., & Kegelmeyer, W.P. (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security [Conference Poster]. https://www.osti.gov/biblio/1782493 Publication ID: 73420
  • Verzi, S.J. (2020). Machine Learning at Sandia [Presentation]. https://www.osti.gov/biblio/1768146 Publication ID: 72778
  • Yoon, H., Melander, D., Verzi, S.J., & Verzi, S.J. (2020). Permeability prediction of porous media using convolutional neural networks with physical properties [Conference Poster]. CEUR Workshop Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083343043&origin=inward Publication ID: 73146
  • Yoon, H., Melander, D., Verzi, S.J., & Verzi, S.J. (2019). Permeability Prediction of Porous Media using Convolutional Neural Networks with physical properties [Conference Poster]. https://www.osti.gov/biblio/1643508 Publication ID: 66664
  • Guttromson, R., Sorensen, A.H., Jones, C.B., Verzi, S.J., Byrne, R.H., Hanley, C., & Hanley, C. (2019). AlphaGrid: Grid Stability Using Machine Learning State Space Navigation [Presentation]. https://www.osti.gov/biblio/1645709 Publication ID: 70283
  • Krishnakumar, R., Boskin, C., Levin, D., Carmody, D., Finley, P.D., Verzi, S.J., Williams, K.P., Carney, J., & Carney, J. (2019). Data Science for Detection of Genome Editi [Presentation]. https://www.osti.gov/biblio/1645734 Publication ID: 70337
  • Naugle, A.B., Lakkaraju, K., Balanaga, V., Warrender, C., Verzi, S.J., Livesay, M., Swiler, L.P., & Swiler, L.P. (2019). A Complexity-Focused Framework for Comparing and Evaluating Social Simulations [Presentation]. https://www.osti.gov/biblio/1645756 Publication ID: 70428
  • Guttromson, R., Verzi, S.J., Jones, C.B., Sorensen, A.H., Byrne, R.H., Hanley, C., & Hanley, C. (2019). Grid Stability Using Machine Learning State Space Navigation [Presentation]. https://www.osti.gov/biblio/1807097 Publication ID: 69670
  • Guttromson, R., Verzi, S.J., Jones, C.B., Sorensen, A.H., Byrne, R.H., Hanley, C., & Hanley, C. (2019). Grid Stability Using Machine Learning State Space Navigation [Presentation]. https://www.osti.gov/biblio/1645566 Publication ID: 69671
  • Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2019). Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams [Conference Poster]. https://www.osti.gov/biblio/1641241 Publication ID: 69911
  • Hill, A., Donaldson, J.W., Rothganger, F.H., Vineyard, C.M., Follett, D.R., Follett, P.L., Smith, M.R., Verzi, S.J., Severa, W., Wang, F., Aimone, J.B., Naegle, J.H., James, C.D., & James, C.D. (2019). Neuromorphic Computing Algorithms and Architecture Research at Sandia [Presentation]. https://www.osti.gov/biblio/1645676 Publication ID: 70107
  • Guttromson, R., Verzi, S.J., Jones, C.B., Sorensen, A.H., Byrne, R.H., Hanley, C., & Hanley, C. (2019). Grid Stability Using Machine Learning State Space Navigation [Brief]. https://doi.org/10.2172/1762943 Publication ID: 102604
  • Lakkaraju, K., Naugle, A.B., Verzi, S.J., Swiler, L.P., Livesay, M., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2019). Complexity metrics for Agent Based Models of Social Systems [Conference Poster]. https://www.osti.gov/biblio/1639730 Publication ID: 68092
  • Xu, G., Wang, Y., Verzi, S.J., & Verzi, S.J. (2019). Neural Networks for microscopic image analysis [Conference Poster]. https://www.osti.gov/biblio/1639485 Publication ID: 67621
  • Verzi, S.J. (2019). Layered Approach Builds Confidence in Complex Social Systems Modeling [Presentation]. https://www.osti.gov/biblio/1643885 Publication ID: 67055
  • Sahakian, M., Verzi, S.J., Birch, G., Stubbs, J., Woo, B.L., Kouhestani, C.G., & Kouhestani, C.G. (2018). Physical Security Assessment Using Temporal Machine Learning [Conference Poster]. Proceedings – International Carnahan Conference on Security Technology. https://doi.org/10.1109/CCST.2018.8585705 Publication ID: 63561
  • Xu, G., Wang, Y., Verzi, S.J., & Verzi, S.J. (2018). Machine learning assisted microscopic image analysis for unconventional reservoir studies [Conference Poster]. https://www.osti.gov/biblio/1761155 Publication ID: 60518
  • Sahakian, M., Verzi, S.J., Kouhestani, C.G., Birch, G., Stubbs, J., Woo, B.L., & Woo, B.L. (2018). Temporal Algorithms for Physical Security [Conference Poster]. https://www.osti.gov/biblio/1592359 Publication ID: 59683
  • Verzi, S.J., Rothganger, F., Parekh, O., Quach, T.T., Miner, N.E., Vineyard, C.M., James, C.D., Aimone, J.B., & Aimone, J.B. (2018). Computing with spikes: The advantage of fine-grained timing. Neural Computation, 30(10), pp. 2660-2690. https://doi.org/10.1162/neco_a_01113 Publication ID: 63758
  • Dawson, L.A., Verzi, S.J., Levin, D., Melander, D., Sorensen, A.H., Cauthen, K.R., Wilches-Bernal, F., Berg, T.M., Lavrova, O., Guttromson, R., & Guttromson, R. (2018). Integrated Cyber/Physical Grid Resiliency Modeling. https://doi.org/10.2172/1482777 Publication ID: 60153
  • Naugle, A.B., Lakkaraju, K., Verzi, S.J., Swiler, L.P., Romero, V., Bernard, M., & Bernard, M. (2018). A Multi-tiered Complexity Metric [Conference Poster]. https://www.osti.gov/biblio/1570180 Publication ID: 63118
  • Sahakian, M., Verzi, S.J., Kouhestani, C.G., Birch, G., Stubbs, J., Woo, B.L., & Woo, B.L. (2018). Temporal Algorithms for Physical Security [Conference Poster]. https://www.osti.gov/biblio/1573308 Publication ID: 63437
  • Verzi, S.J., Vineyard, C.M., Aimone, J.B., & Aimone, J.B. (2018). Neural-Inspired Anomaly Detection [Conference Poster]. https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 62382
  • Vineyard, C.M., Verzi, S.J., Severa, W., Aimone, J.B., & Aimone, J.B. (2018). Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms [Conference Poster]. https://www.osti.gov/biblio/1498201 Publication ID: 60768
  • Verzi, S.J., Vineyard, C.M., Aimone, J.B., & Aimone, J.B. (2018). Neural-Inspired Anomaly Detection [Conference Poster]. Springer Proceedings in Complexity. https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 63164
  • Hill, A., Donaldson, J.W., Rothganger, F., Vineyard, C.M., Follett, D.R., Follett, P.L., Smith, M.R., Verzi, S.J., Severa, W., Wang, F., Aimone, J.B., Naegle, J.H., James, C.D., & James, C.D. (2017). A spike-Timing neuromorphic architecture [Conference Poster]. 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 – Proceedings. https://doi.org/10.1109/ICRC.2017.8123631 Publication ID: 58345
  • Vineyard, C.M., Verzi, S.J., & Verzi, S.J. (2017). A Case Study on Neural Inspired Dynamic Memory Management Strategies for High Performance Computing. https://doi.org/10.2172/1396076 Publication ID: 53208
  • Verzi, S.J., Dellana, R., Severa, W., Smith, M.R., Rothganger, F., James, C.D., Aimone, J.B., Vineyard, C.M., & Vineyard, C.M. (2017). Steep Deep Spiking Networks [Conference Poster]. https://www.osti.gov/biblio/1464724 Publication ID: 57912
  • Verzi, S.J., Vineyard, C.M., Vugrin, E., Sahakian, M., James, C.D., Aimone, J.B., & Aimone, J.B. (2017). Optimization-based computation with spiking neurons [Conference Poster]. Proceedings of the International Joint Conference on Neural Networks. https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 54983
  • Sahakian, M., Verzi, S.J., Vineyard, C.M., Vugrin, E., James, C.D., Aimone, J.B., & Aimone, J.B. (2017). Optimization-based computation with spiking neurons [Conference Poster]. https://www.osti.gov/biblio/1457893 Publication ID: 56181
  • Vugrin, E., Trucano, T.G., Swiler, L.P., Finley, P.D., Flanagan, T.P., Naugle, A.B., Tsao, J.Y., Verzi, S.J., & Verzi, S.J. (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models. https://doi.org/10.2172/1367494 Publication ID: 54940
  • Jones, S.T., Outkin, A.V., Gearhart, J.L., Hobbs, J., Siirola, J.D., Phillips, C.A., Verzi, S.J., Tauritz, D., Mulder, S.A., Naugle, A.B., & Naugle, A.B. (2017). PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense [Conference Poster]. https://www.osti.gov/biblio/1417561 Publication ID: 52843
  • Vineyard, C.M., Verzi, S.J., & Verzi, S.J. (2016). Overcoming the Static Learning Bottleneck – the need for adaptive neural learning [Conference Poster]. 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 – Conference Proceedings. https://doi.org/10.1109/ICRC.2016.7738692 Publication ID: 50891
  • Vineyard, C.M., Aimone, J.B., Verzi, S.J., Donaldson, J.W., Smith, M.R., Rothganger, F., Follet, D.R., James, C.D., Naegle, J.H., & Naegle, J.H. (2016). A neurally inspired spiking temporal processing unit computational architecture [Conference Poster]. https://www.osti.gov/biblio/1526843 Publication ID: 47696
  • Verzi, S.J., Vineyard, C.M., Vugrin, E., Sahakian, M., James, C.D., Aimone, J.B., & Aimone, J.B. (2016). Optimization-based computation with spiking neurons [Conference Poster]. https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48012
  • Verzi, S.J., Vineyard, C.M., Vugrin, E., Sahakian, M., James, C.D., Aimone, J.B., & Aimone, J.B. (2016). Optimization-based computation with spiking neurons [Conference Poster]. https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48013
  • Vineyard, C.M., Verzi, S.J., James, C.D., Aimone, J.B., & Aimone, J.B. (2016). Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. Proceedings of the International Joint Conference on Neural Networks. https://doi.org/10.2172/1561002 Publication ID: 48705
  • Stamber, K.L., Burnham, L., Adams, S.S., Jeffers, R., Verzi, S.J., & Verzi, S.J. (2016). Modeling the benefits (or detriments) of increased automation in electric power grid operations: Methodology and experiments [Conference Poster]. Electricity Journal. https://doi.org/10.1016/j.tej.2016.09.015 Publication ID: 51930
  • Stamber, K.L., Burnham, L., Adams, S.S., Jeffers, R., Verzi, S.J., & Verzi, S.J. (2016). Modeling the Benefits (or Detriments) of Increased Automation in Utility Operations [Presentation]. https://www.osti.gov/biblio/1390470 Publication ID: 52114
  • Outkin, A.V., Eames, B.K., Jones, S.T., Vugrin, E., Phillips, C.A., Walsh, S., Hobbs, J., Verzi, S.J., Heersink, B., & Heersink, B. (2016). A Framework for Analysis of Attacker-Defender Interaction in Cyber Systems [Conference Poster]. https://www.osti.gov/biblio/1392766 Publication ID: 52210
  • Burnham, L., Stamber, K.L., Jeffers, R., Adams, S.S., Verzi, S.J., Sahakian, M., Haass, M.J., Cauthen, K.R., & Cauthen, K.R. (2016). Improving Grid Resilience through Informed Decision-making (IGRID). https://doi.org/10.2172/1431483 Publication ID: 52545
  • Tsao, J.Y., Trucano, T.G., Kleban, S., Naugle, A.B., Verzi, S.J., Swiler, L.P., Johnson, C.M., Smith, M.A., Flanagan, T.P., Vugrin, E., Gabert, K.G., Lave, M., Chen, W., Delaurentis, D., Hubler, A., Oberkampf, B., & Oberkampf, B. (2016). Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification. https://doi.org/10.2172/1431458 Publication ID: 51944
  • Outkin, A.V., Eames, B.K., Jones, T., Vugrin, E., Phillips, C.A., Walsh, S., Hobbs, J., Gearhart, J.L., Siirola, J.D., Verzi, S.J., Naugle, A.B., & Naugle, A.B. (2016). Stochastic Adversarial Modeling for Evaluating Trust in Systems and Effectiveness of Moving Target Defense [Presentation]. https://www.osti.gov/biblio/1530035 Publication ID: 50326
  • Outkin, A.V., Eames, B.K., Jones, T., Vugrin, E., Phillips, C.A., Walsh, S., Hobbs, J., Gearhart, J.L., Siirola, J.D., Verzi, S.J., Naugle, A.B., & Naugle, A.B. (2016). Stochastic Adversarial Modeling for Evaluating Trust in Systems and Effectiveness of Moving Target Defense [Presentation]. https://www.osti.gov/biblio/1530048 Publication ID: 50475
  • Verzi, S.J., Naugle, A.B., & Naugle, A.B. (2016). Model/Use Characteristics that Can Challenge Current VVUQ: Building Credible Models [Conference Poster]. https://www.osti.gov/biblio/1366869 Publication ID: 50715
  • Vineyard, C.M., Verzi, S.J., James, C.D., Aimone, J.B., & Aimone, J.B. (2016). Quantifying Neural Information Content: A Case Study of the Impact of Hippocampal Adult Neurogenesis [Conference Poster]. https://doi.org/10.1109/IJCNN.2016.7727884 Publication ID: 49412
  • Gearhart, J.L., Hobbs, J., Jones, S.T., Mulder, S.A., Naugle, A.B., Outkin, A.V., Phillips, C.A., Siirola, J.D., Tauritz, D., Verzi, S.J., & Verzi, S.J. (2016). A new scheduling problem motivated by moving-target cyberdefense [Conference Poster]. https://www.osti.gov/biblio/1364842 Publication ID: 49068
  • Naugle, A.B., Miner, N.E., Aamir, M.S., Jeffers, R., Verzi, S.J., Bernard, M., & Bernard, M. (2015). Simulating Smoking Behaviors Based on Cognition-Determined Opinion-Based System Dynamics [Conference Poster]. https://doi.org/10.1109/WSC.2015.7408545 Publication ID: 41829
  • Vineyard, C.M., Aimone, J.B., Bernard, M., Carlson, K.D., Chance, F.S., Forsythe, J.C., James, C.D., Rothganger, F., Severa, W., Speed, A., Verzi, S.J., Warrender, C., Wagner, J.S., Miller, L.A., & Miller, L.A. (2015). Neural Computing at Sandia National Laboratories [Conference Poster]. https://www.osti.gov/biblio/1335732 Publication ID: 41869
  • Vineyard, C.M., Verzi, S.J., James, C.D., Aimone, J.B., & Aimone, J.B. (2015). Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis through computational modeling [Conference Poster]. https://www.osti.gov/biblio/1336353 Publication ID: 45978
  • Vineyard, C.M., Verzi, S.J., James, C.D., Aimone, J.B., Heileman, G.L., & Heileman, G.L. (2015). Repeated play of the SVM game as a means of adaptive classification [Conference Poster]. Proceedings of the International Joint Conference on Neural Networks. https://doi.org/10.1109/IJCNN.2015.7280729 Publication ID: 44877
  • Jones, S.T., Outkin, A.V., Gearhart, J.L., Hobbs, J., Siirola, J.D., Phillips, C.A., Verzi, S.J., Tauritz, D., Mulder, S.A., Naugle, A.B., & Naugle, A.B. (2015). Evaluating Moving Target Defense with PLADD. https://doi.org/10.2172/1222986 Publication ID: 45812
  • Finley, P.D., Vugrin, E., Verzi, S.J., Turnquist, M.A., Griffin, A., Ricci, K., Wyte-Lake, T., & Wyte-Lake, T. (2015). Modeling Hospital Evacuations for Infrastructure Disruptions [Conference Poster]. https://www.osti.gov/biblio/1331571 Publication ID: 44088
  • Vineyard, C.M., Verzi, S.J., Aimone, J.B., James, C.D., Heileman, G.L., & Heileman, G.L. (2015). Repeated Play of the SVM Game as a Means of Adaptive Classification [Conference Poster]. https://www.osti.gov/biblio/1249447 Publication ID: 43179
  • Moffett, M.L., Farnbach Pearson, A.W., Verzi, S.J., Kleban, S., Malczynski, L.A., McDermott, G.V., Larson, R., & Larson, R. (2015). Modeling Future Health Care Workforce Adequacy to Inform Policy [Conference Poster]. https://www.osti.gov/biblio/1530991 Publication ID: 43258
  • Vugrin, E., Verzi, S.J., Brodsky, N.S., Rostron, B.L., Apelberg, B.J., Paredes, A., Coleman, B.N., Choiniere, C.J., & Choiniere, C.J. (2015). Modeling the potential effects of new tobacco products and policies: A dynamic population model for multiple product use and harm. PLoS ONE, 10(3). https://doi.org/10.1371/journal.pone.0121008 Publication ID: 38308
  • Brown, T.J., Vugrin, E., Tidwell, V.C., Verzi, S.J., Moore, T., Finley, P.D., Beyeler, W.E., Corbet, T.F., & Corbet, T.F. (2015). Complex System Analytics: presentations to External Advisory Panel [Conference Poster]. https://www.osti.gov/biblio/1247089 Publication ID: 42410
  • Verzi, S.J., Vugrin, E.D., Brodsky, N.S., Malczynski, L.A., Kleban, S., & Kleban, S. (2015). Dynamic Population Health Modeling [Presentation]. https://www.osti.gov/biblio/1513983 Publication ID: 42573
  • Vugrin, E., Verzi, S.J., Forden, G., Aamir, M.S., Lamb, C., Outkin, A.V., & Outkin, A.V. (2015). Measuring & Influencing Resilience of Adapting Flow Networks [Presentation]. https://www.osti.gov/biblio/1244482 Publication ID: 42580
  • Vugrin, E.D., Verzi, S.J., Finley, P.D., Turnquist, M.A., Griffin, A.R., Ricci, K.A., Wyte-Lake, T., & Wyte-Lake, T. (2015). Modeling Evacuation of a Hospital without Electric Power. Prehospital and Disaster Medicine, 30(3), pp. 279-287. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930275101&origin=inward Publication ID: 41087
  • Vugrin, E., Verzi, S.J., Finley, P.D., Turnquist, M.A., Wyte-Lake, T., Griffin, A.R., Ricci, K.J., Plotinsky, R., & Plotinsky, R. (2015). Resource Requirements Planning for Hospitals Treating Serious Infectious Disease Cases. https://doi.org/10.2172/1171661 Publication ID: 42234
  • Naugle, A.B., Miner, N.E., Aamir, M.S., Jeffers, R., Verzi, S.J., Bernard, M., & Bernard, M. (2015). Simulating Smoking Behaviors Based on Cognition-Determined Communication of Opinions [Conference Poster]. https://www.osti.gov/biblio/1504118 Publication ID: 41361
  • Backus, G.A., Naugle, A.B., Bernard, M., Aamir, M.S., Glickman, M.R., Jeffers, R., Silva, A.R., Trumbo, D., Verzi, S.J., & Verzi, S.J. (2015). Simulating Behavioral Responses in International Security Settings [Conference Poster]. https://www.osti.gov/biblio/1244850 Publication ID: 42661
  • Beyeler, W.E., Vugrin, E., Forden, G., Aamir, M.S., Verzi, S.J., Outkin, A.V., & Outkin, A.V. (2015). Resilience of Adapting Networks: Results from a Stylized Infrastructure Model. Environment, Systems, & Decisions. https://www.osti.gov/biblio/1427206 Publication ID: 42673
  • Vineyard, C.M., Verzi, S.J., James, C.D., Aimone, J.B., Heileman, G.L., & Heileman, G.L. (2015). MapReduce SVM game [Conference Poster]. Procedia Computer Science. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939162855&origin=inward Publication ID: 43816
  • Verzi, S.J., Aimone, J.B., & Aimone, J.B. (2014). Quantification of Neural Computation [Conference Poster]. https://www.osti.gov/biblio/1315443 Publication ID: 39580
  • Naugle, A.B., Miner, N.E., Aamir, M.S., Jeffers, R., Verzi, S.J., Bernard, M., & Bernard, M. (2014). Simulating Smoking Behaviors Based on Cognition-Determined Opinion Dynamics [Conference Poster]. https://doi.org/10.1109/WSC.2015.7408545 Publication ID: 39124
  • Aimone, J.B., Bernard, M., Vineyard, C.M., Verzi, S.J., & Verzi, S.J. (2014). Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation and Completion of Episodic Information. https://doi.org/10.2172/1162373 Publication ID: 39168
  • Brodsky, N.S., Brown, T.J., Moore, T., Verzi, S.J., Vugrin, E., Finley, P.D., & Finley, P.D. (2014). Tobacco-Control Regulatory Policy Modeling and Analysis [Presentation]. https://www.osti.gov/biblio/1706361 Publication ID: 40478
  • Vargas, V.N., Dealy, B.C., Verzi, S.J., Moore, T., Brown, T.J., Brodsky, N.S., & Brodsky, N.S. (2014). Estimating the Costs of Tobacco-attributable Premature Deaths [Conference]. https://www.osti.gov/biblio/1141041 Publication ID: 96788
  • Vugrin, E., Verzi, S.J., Brodsky, N.S., & Brodsky, N.S. (2013). Population Structure Modeling to Evaluate Substitution and Dual Use of Tobacco Products in Response to Changing Policies [Conference]. https://www.osti.gov/biblio/1115323 Publication ID: 34816
  • Verzi, S.J., Bernard, M., Aimone, J.B., & Aimone, J.B. (2013). Adult Neurogenesis: Implications on Human And Computational Decision Making [Conference]. https://www.osti.gov/biblio/1145214 Publication ID: 32435
  • Brown, T.J., Brodsky, N.S., Verzi, S.J., & Verzi, S.J. (2012). Modeling Population Dynamics [Conference]. https://www.osti.gov/biblio/1063540 Publication ID: 26465
  • Vineyard, C.M., Verzi, S.J., Avina, G.E., & Avina, G.E. (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model [Conference]. https://www.osti.gov/biblio/1141197 Publication ID: 30794
  • Vineyard, C.M., Verzi, S.J., Avina, G.E., & Avina, G.E. (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model [Conference]. https://www.osti.gov/biblio/1141250 Publication ID: 30795
  • Speed, A., Vineyard, C.M., Collard, J.M., Verzi, S.J., & Verzi, S.J. (2012). Diffusion among cognitively complex agents : final report. https://doi.org/10.2172/1055582 Publication ID: 30258
  • Carter, C., Verzi, S.J., Hensley, C.M., & Hensley, C.M. (2012). Space Based Solar Power [Presentation]. https://www.osti.gov/biblio/1650318 Publication ID: 28589
  • Verzi, S.J., Bernard, M., Taylor, S.E., Dubicka, I., & Dubicka, I. (2012). Associative-ART: A Multi-modal Network Architecture for Knowledge Discovery. Proposed for publication in Security Informatics., 1(1). https://doi.org/10.1186/2190-8532-1-20 Publication ID: 28138
  • Verzi, S.J. (2012). NEUROCOMPUTATION BY A NEURAL CHIP-FIRING GAME [Conference]. https://www.osti.gov/biblio/1073374 Publication ID: 28345
  • Vineyard, C.M., Lakkaraju, K., Collard, J.M., Verzi, S.J., & Verzi, S.J. (2012). The impact of attitude resolve on population wide attitude change [Conference]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84859150989&origin=inward Publication ID: 25400
  • Verzi, S.J. (2012). A Neural Chip-Firing Game as a Model of Neurocomputation [Conference]. https://www.osti.gov/biblio/1078716 Publication ID: 26689
  • Vineyard, C.M., Verzi, S.J., Taylor, S.E., Dubicka, I., Bernard, M., & Bernard, M. (2011). Augmented cognition tool for rapid military decision making. https://doi.org/10.2172/1029756 Publication ID: 24737
  • Naugle, A.B., Bernard, M., Backus, G.A., Glickman, M.R., Verzi, S.J., & Verzi, S.J. (2011). Using a hybrid cognitive-system dynamics model to anticipate the influence of events and actions on human behaviors [Conference]. https://www.osti.gov/biblio/1290129 Publication ID: 23681
  • Finley, P.D., Linebarger, J., Outkin, A.V., Verzi, S.J., Brodsky, N.S., Glass, R., & Glass, R. (2011). Extending Opinion Dynamics to Model Public Health Problems and the Evaluation of Policy Interventions [Conference]. https://www.osti.gov/biblio/1106717 Publication ID: 22704
  • Verzi, S.J., Bernard, M., Taylor, S.E., Dubicka, I., McClain, J.T., & McClain, J.T. (2011). A Neurophysiologically Inspired Hippocampus Based Associative-ART Artificial Neural Network Architecture [Conference]. https://www.osti.gov/biblio/1106201 Publication ID: 22716
  • Glass, R., Zagonel, A., Ames, A., Brown, T.J., Beyeler, W.E., Finley, P.D., Linebarger, J., Brodsky, N.S., Verzi, S.J., Outkin, A.V., & Outkin, A.V. (2011). Complex Adaptive Systems of Systems (CASoS) Engineering: Mapping Aspirations to Problem Solutions [Conference]. https://www.osti.gov/biblio/1106542 Publication ID: 22783
  • Bernard, M., Verzi, S.J., Taylor, S.E., Dubicka, I., McClain, J.T., Vineyard, C.M., & Vineyard, C.M. (2011). Augmented Cognition Tool for Rapid Military Decision Making (ACORD) [Presentation]. https://www.osti.gov/biblio/1671500 Publication ID: 22272
  • Finley, P.D., Linebarger, J., Outkin, A.V., Verzi, S.J., Brodsky, N.S., Cannon, D., Glass, R., & Glass, R. (2011). Extending Opinion Dynamics to Model Public Health Problems and the Evaluation of Policy Interventions [Conference]. https://www.osti.gov/biblio/1120573 Publication ID: 22296
  • Bernard, M., Backus, G.A., Glickman, M.R., Verzi, S.J., & Verzi, S.J. (2011). Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors [Conference]. https://www.osti.gov/biblio/1109155 Publication ID: 21852
  • Bernard, M., Dubicka, I., McClain, J.T., Taylor, S.E., Verzi, S.J., Vineyard, C.M., & Vineyard, C.M. (2011). A Neurophysiologically Inspired Hippocampus Based Associative-ARTMAP Artificial Neural Network Architecture [Conference]. https://www.osti.gov/biblio/1109437 Publication ID: 21591
  • Verzi, S.J., Rohrer, B.R., Xavier, P.G., Rothganger, F., & Rothganger, F. (2011). Neurons to Algorithms [Presentation]. https://www.osti.gov/biblio/1671628 Publication ID: 21738
  • Rothganger, F., Rohrer, B.R., Verzi, S.J., Xavier, P.G., & Xavier, P.G. (2010). Modeling cortical circuits. https://doi.org/10.2172/1008124 Publication ID: 19889
  • Verzi, S.J., Wagner, J.S., Warrender, C., & Warrender, C. (2010). Optical holography as an analogue for a neural re-use mechanism: Comment on Anderson (2010). Behavioral and Brain Sciences, 33(04). https://doi.org/10.1017/S0140525X10001214 Publication ID: 18645
  • Verzi, S.J., Bernard, M., Quach, T.T., Taylor, S.E., & Taylor, S.E. (2010). A Cortical-Hippocampal Neural Architecture for Episodic Memory with Information Theoretic Model Analysis [Conference]. https://www.osti.gov/biblio/1123559 Publication ID: 18512
  • Speed, A., Verzi, S.J., Wagner, J.S., Warrender, C., & Warrender, C. (2010). Proposed comment on Anderson (2010) Neural re-use as a fundamental organizational principle of the brain. Behavioral Brain Science. https://www.osti.gov/biblio/1124264 Publication ID: 17799
  • Bernard, M., Morrow, J.D., Taylor, S.E., Verzi, S.J., Vineyard, C.M., & Vineyard, C.M. (2009). Modeling aspects of human memory for scientific study. https://doi.org/10.2172/986595 Publication ID: 16784
  • Taylor, S.E., Bernard, M., Vineyard, C.M., Verzi, S.J., Morrow, J.D., & Morrow, J.D. (2009). Memory in Silico: Building a Neuromimetic Episodic Cognitive Model [Conference]. https://www.osti.gov/biblio/1142499 Publication ID: 16064
  • Djordjevich, D.D., Xavier, P.G., Bernard, M., Whetzel, J.H., Glickman, M.R., Verzi, S.J., & Verzi, S.J. (2008). Preparing for the aftermath: Using emotional agents in game-based training for disaster response [Conference]. 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70349297359&origin=inward Publication ID: 14475
  • Chew, P.A., Bader, B., Verzi, S.J., & Verzi, S.J. (2008). Can computational linguistics improve information retrieval?. Proposed for publication in Computational Linguistics.. https://www.osti.gov/biblio/948222 Publication ID: 14599
  • Dunlavy, D.M., Basilico, J.D., Verzi, S.J., Bauer, T.L., & Bauer, T.L. (2008). Yucca Mountain licensing support network archive assistant. https://doi.org/10.2172/932885 Publication ID: 12927
  • Bernard, M., Glickman, M.R., Hart, D., Xavier, P.G., Verzi, S.J., Wolfenbarger, P., & Wolfenbarger, P. (2007). Simulating human behavior for national security human interactions. https://doi.org/10.2172/900422 Publication ID: 8609
  • Verzi, S.J., Chew, P.A., Bauer, T.L., McClain, J.T., & McClain, J.T. (2006). Cross-Language Ideology Detection Using Linguistics-Based Knowledge Extraction [Presentation]. https://www.osti.gov/biblio/1725704 Publication ID: 8103
  • Chew, P.A., Verzi, S.J., McClain, J.T., Bauer, T.L., & Bauer, T.L. (2006). Evaluation of the Bible as a Resource for Cross-Language Information Retrieval [Conference]. https://www.osti.gov/biblio/1264239 Publication ID: 7477
  • Verzi, S.J., Chew, P.A., & Chew, P.A. (2006). Database of on-line Bible texts in 6 langauges as well as web-spidered web pages [Presentation]. https://www.osti.gov/biblio/1729825 Publication ID: 7381
  • Chew, P.A., Bauer, T.L., Verzi, S.J., McClain, J.T., & McClain, J.T. (2006). Evaluation of the Bible as a resource for cross-language information retrieval [Conference]. https://www.osti.gov/biblio/943892 Publication ID: 6872
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