Stephen J. Verzi

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 22

Top Topics

Conflicting Information

Machine Learning

Partially Supervised

Top Venues

AAAI Spring Symposium: MLPS

Comput. Math. Organ. Theory

Publications

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) (2023)
Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR (2023)
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) (2023)
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) (2023)
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) (2022)
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)
Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi
Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images. AAAI Spring Symposium: MLPS (2021)
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)
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)
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)
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 (2020)
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) (2019)
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)
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 (2018)
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)
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)
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)
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)
Craig M. Vineyard, Stephen J. Verzi
Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC (2016)
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)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
MapReduce SVM Game. INNS Conference on Big Data (2015)
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)
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)
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) (2012)
Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan
Game theoretic mechanism design applied to machine learning classification. CIP (2012)
Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi
The Impact of Attitude Resolve on Population Wide Attitude Change. SBP (2012)
Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman
A Game Theoretic Model of Neurocomputation. BICA (2012)
Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell
A Multimodal Hypertensor Architecture for Association Formation. BICA (2011)
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)
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) (2011)
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)
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)
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)
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)
Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos
Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks 19 (4) (2006)
Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
Hierarchical ARTMAP. IJCNN (6) (2000)
Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
The generalization capabilities of ARTMAP. ICNN (1997)
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) (1993)