Stephen J. Verzi

40 papers B 7Misc 1Journal 14Unranked 18

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
2023	J	`jnl`	Feedback density and causal complexity of simulation model structure. J. Simulation Asmeret Naugle, Stephen J. Verzi, Kiran Lakkaraju, Laura P. Swiler, Christina Warrender, Michael L. Bernard, Vicente J. Romero
2023	J	`jnl`	The Ground Truth program: simulations as test beds for social science research methods. Comput. Math. Organ. Theory Asmeret Bier Naugle, Adam Russell, Kiran Lakkaraju, Laura Painton Swiler, Stephen J. Verzi, Vicente J. Romero
2023	J	`jnl`	What can simulation test beds teach us about social science? Results of the ground truth program. Comput. Math. Organ. Theory 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
2022	J	`jnl`	A Theoretical Approach for Reliability Within Information Supply Chains With Cycles and Negations. IEEE Trans. Reliab. Michael R. Livesay, Daniel Pless, Stephen J. Verzi, Kevin Stamber, Anneliese Lilje
2022	J	`jnl`	Conflicting Information and Compliance with COVID-19 Behavioral Recommendations. J. Artif. Soc. Soc. Simul. Asmeret Bier Naugle, Fred Rothganger, Stephen J. Verzi, Casey Doyle
2021	—	`conf`	Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images. AAAI Spring Symposium: MLPS Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi
2021	—	`conf`	Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection. IEEE BigData Michael R. Smith, Stephen J. Verzi, Nicholas T. Johnson, Xin Zhou, Kanad Khanna, Sophie Quynn, Raga Krishnakumar
2020	J	`jnl`	Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security. CoRR 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
2020	—	`conf`	Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. AISec@CCS 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
2020	—	`conf`	Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties. AAAI Spring Symposium: MLPS Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi
2019	J	`jnl`	Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2018	J	`jnl`	Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone
2018	—	`conf`	Physical Security Assessment Using Temporal Machine Learning. ICCST Meghan A. Galiardi, Stephen J. Verzi, Gabriel C. Birch, Jaclynn J. Stubbs, Bryana L. Woo, Camron G. Kouhestani
2018	J	`jnl`	Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2017	—	`conf`	A Spike-Timing Neuromorphic Architecture. ICRC 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
2017	B	`conf`	Optimization-based computation with spiking neurons. IJCNN Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone
2016	—	`conf`	Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC Craig M. Vineyard, Stephen J. Verzi
2016	B	`conf`	Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone
2015	—	`conf`	MapReduce SVM Game. INNS Conference on Big Data Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2015	B	`conf`	Repeated play of the SVM game as a means of adaptive classification. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2015	Misc	`conf`	Simulating smoking behaviors based on cognition-determined, opinion-based system dynamics. WSC Asmeret Bier Naugle, Nadine E. Miner, Munaf Aamir, Robert Jeffers, Stephen J. Verzi, Michael L. Bernard
2013	—	`conf`	Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone
2012	—	`conf`	A Game Theoretic Model of Neurocomputation. BICA Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman
2012	J	`jnl`	A multi-modal network architecture for knowledge discovery. Secur. Informatics Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Irene Dubicka, Thomas P. Caudell
2012	—	`conf`	Game theoretic mechanism design applied to machine learning classification. CIP Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan
2012	—	`conf`	The Impact of Attitude Resolve on Population Wide Attitude Change. SBP Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi
2011	—	`conf`	A Multimodal Hypertensor Architecture for Association Formation. BICA Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell
2011	B	`conf`	A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. IJCNN Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell
2011	J	`jnl`	An information-theoretic, vector-space-model approach to cross-language information retrieval. Nat. Lang. Eng. Peter A. Chew, Brett W. Bader, Stephen Helmreich, Ahmed Abdelali, Stephen J. Verzi
2010	—	`conf`	A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall. BICA Craig M. Vineyard, Michael L. Bernard, Shawn E. Taylor, Thomas P. Caudell, Patrick D. Watson, Stephen J. Verzi, Neal J. Cohen, Howard Eichenbaum
2009	—	`conf`	Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 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
2009	B	`conf`	Temporal semantics: An Adaptive Resonance Theory approach. IJCNN Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell
2008	—	`conf`	Preparing for the aftermath: Using emotional agents in game-based training for disaster response. CIG Donna Djordjevich, Patrick G. Xavier, Michael L. Bernard, Jonathan Whetzel, Matthew R. Glickman, Stephen J. Verzi
2006	J	`jnl`	Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos
2003	B	`conf`	Exemplar-based pattern recognition via semi-supervised learning. IJCNN Gregorios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, Gregory L. Heileman
2003	B	`conf`	Universal approximation with Fuzzy ART and Fuzzy ARTMAP. IJCNN Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2000	—	`conf`	Hierarchical ARTMAP. IJCNN (6) Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
1997	—	`conf`	The generalization capabilities of ARTMAP. ICNN Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
1993	J	`jnl`	Fuzzy Set Methods for Assessing Uncertainty in the Modeling and Control of Space Structures. J. Intell. Fuzzy Syst. Timothy J. Ross, T. K. Hasselman, J. D. Chrostowski, Stephen J. Verzi