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2020 – today
- 2023
[j11]Asmeret Bier Naugle
, Adam Russell, Kiran Lakkaraju, Laura Painton Swiler, Stephen J. Verzi, Vicente J. Romero:
The Ground Truth program: simulations as test beds for social science research methods. Comput. Math. Organ. Theory 29(1): 1-19 (2023)- [j10]Asmeret Bier Naugle, Daniel Krofcheck, Christina Warrender, Kiran Lakkaraju, Laura Painton Swiler, Stephen J. Verzi, Ben Emery, Jaimie Murdock, Michael L. Bernard, Vicente J. Romero:
What can simulation test beds teach us about social science? Results of the ground truth program. Comput. Math. Organ. Theory 29(1): 242-263 (2023) - [j9]Asmeret Naugle, Stephen J. Verzi, Kiran Lakkaraju, Laura P. Swiler, Christina Warrender, Michael L. Bernard, Vicente J. Romero:
Feedback density and causal complexity of simulation model structure. J. Simulation 17(3): 229-239 (2023) - [i3]Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon:
Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR abs/2310.07461 (2023) - 2022
- [j8]Asmeret Bier Naugle, Fred Rothganger, Stephen J. Verzi, Casey Doyle:
Conflicting Information and Compliance with COVID-19 Behavioral Recommendations. J. Artif. Soc. Soc. Simul. 25(4) (2022) - [j7]Michael Livesay, Daniel Pless, Stephen J. Verzi, Kevin Stamber, Anneliese Lilje:
A Theoretical Approach for Reliability Within Information Supply Chains With Cycles and Negations. IEEE Trans. Reliab. 71(1): 404-414 (2022) - 2021
- [c24]Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi:
Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images. AAAI Spring Symposium: MLPS 2021 - [c23]Michael R. Smith, Stephen J. Verzi, Nicholas T. Johnson, Xin Zhou, Kanad Khanna, Sophie Quynn, Raga Krishnakumar:
Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection. IEEE BigData 2021: 2160-2169 - 2020
- [c22]Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi:
Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties. AAAI Spring Symposium: MLPS 2020 - [c21]Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Bridget I. Haus, Eva Domschot, Ramyaa, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer:
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. AISec@CCS 2020: 49-60 - [i2]Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer:
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security. CoRR abs/2005.01800 (2020)
2010 – 2019
- 2019
- [j6]William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. 1(2): 86-94 (2019) - 2018
- [j5]Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone:
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30(10) (2018) - [c20]Meghan A. Galiardi, Stephen J. Verzi, Gabriel C. Birch, Jaclynn J. Stubbs, Bryana L. Woo, Camron G. Kouhestani:
Physical Security Assessment Using Temporal Machine Learning. ICCST 2018: 1-5 - [i1]William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR abs/1810.11521 (2018) - 2017
- [c19]Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James:
A Spike-Timing Neuromorphic Architecture. ICRC 2017: 1-8 - [c18]Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone:
Optimization-based computation with spiking neurons. IJCNN 2017: 2015-2022 - 2016
- [c17]Craig M. Vineyard, Stephen J. Verzi:
Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC 2016: 1-3 - [c16]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone:
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN 2016: 5181-5188 - 2015
- [c15]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
Repeated play of the SVM game as a means of adaptive classification. IJCNN 2015: 1-8 - [c14]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
MapReduce SVM Game. INNS Conference on Big Data 2015: 298-307 - [c13]Asmeret Bier Naugle, Nadine E. Miner, Munaf Aamir, Robert Jeffers, Stephen J. Verzi, Michael L. Bernard:
Simulating smoking behaviors based on cognition-determined, opinion-based system dynamics. WSC 2015: 3892-3900 - 2013
- [c12]Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone:
Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) 2013: 531-540 - 2012
- [j4]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Irene Dubicka, Thomas P. Caudell:
A multi-modal network architecture for knowledge discovery. Secur. Informatics 1(1): 20 (2012) - [c11]Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman:
A Game Theoretic Model of Neurocomputation. BICA 2012: 373-374 - [c10]Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan:
Game theoretic mechanism design applied to machine learning classification. CIP 2012: 1-5 - [c9]Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi:
The Impact of Attitude Resolve on Population Wide Attitude Change. SBP 2012: 322-330 - 2011
- [j3]Peter A. Chew, Brett W. Bader, Stephen Helmreich, Ahmed Abdelali, Stephen J. Verzi:
An information-theoretic, vector-space-model approach to cross-language information retrieval. Nat. Lang. Eng. 17(1): 37-70 (2011) - [c8]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell:
A Multimodal Hypertensor Architecture for Association Formation. BICA 2011: 419-424 - [c7]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell:
A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. IJCNN 2011: 2100-2105 - 2010
- [c6]Craig M. Vineyard, Michael L. Bernard, Shawn E. Taylor, Thomas P. Caudell, Patrick D. Watson, Stephen J. Verzi, Neal J. Cohen, Howard Eichenbaum:
A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall. BICA 2010: 175-180
2000 – 2009
- 2009
- [c5]Shawn E. Taylor, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell, Neal J. Cohen, Patrick D. Watson, Stephen J. Verzi, J. Daniel Morrow, Michael L. Bernard, Howard Eichenbaum:
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 2009: 733-737 - [c4]Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An Adaptive Resonance Theory approach. IJCNN 2009: 3111-3117 - 2008
- [c3]Donna Djordjevich, Patrick G. Xavier, Michael L. Bernard, Jonathan Whetzel, Matthew R. Glickman, Stephen J. Verzi:
Preparing for the aftermath: Using emotional agents in game-based training for disaster response. CIG 2008: 266-275 - 2006
- [j2]Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos:
Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks 19(4): 446-468 (2006) - 2000
- [c2]Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy:
Hierarchical ARTMAP. IJCNN (6) 2000: 41-46
1990 – 1999
- 1997
- [c1]Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi:
The generalization capabilities of ARTMAP. ICNN 1997: 1068-1071 - 1993
- [j1]Timothy J. Ross, T. K. Hasselman, J. D. Chrostowski, Stephen J. Verzi:
Fuzzy Set Methods for Assessing Uncertainty in the Modeling and Control of Space Structures. J. Intell. Fuzzy Syst. 1(2): 135-155 (1993)
Coauthor Index
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