Stephen J Verzi

发表

Modeling hospitals' adaptive capacity during a loss of infrastructure services.

Mark A Turnquist, Tamar Wyte-Lake, Eric D Vugrin, 2015, Journal of healthcare engineering.

Computing with Spikes: The Advantage of Fine-Grained Timing

Fred Rothganger, Ojas Parekh, Conrad D. James, 2018, Neural Computation.

Yucca Mountain licensing support network archive assistant.

Daniel M. Dunlavy, Travis L. Bauer, Stephen J. Verzi, 2008 .

Potential Public Health Effects of Reducing Nicotine Levels in Cigarettes in the United States

Stephen J Verzi, E. Vugrin, B. Apelberg, 2018, The New England journal of medicine.

Foundations to the unified psycho-cognitive engine.

Michael Lewis Bernard, Stephen Joseph Verzi, Matthew R. Glickman, 2010 .

Modeling aspects of human memory for scientific study.

Shawn E. Taylor, Michael Lewis Bernard, Stephen Joseph Verzi, 2009 .

Temporal semantics: An Adaptive Resonance Theory approach

Shawn E. Taylor, Craig M. Vineyard, Thomas P. Caudell, 2009, 2009 International Joint Conference on Neural Networks.

Laura Painton Swiler, Eric D. Vugrin, Timothy G. Trucano, 2017 .

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis

Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, 2020, AISec@CCS.

Modeling the Potential Effects of New Tobacco Products and Policies: A Dynamic Population Model for Multiple Product Use and Harm

Stephen J Verzi, E. Vugrin, B. Apelberg, 2015, PloS one.

Efficient machine-learning surrogates for large-scale geological carbon and energy storage

Stephen J Verzi, T. Kadeethum, Hongkyu Yoon, 2023, ArXiv.

Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images

Stephen J Verzi, H. Yoon, D. Melander, 2020, AAAI Spring Symposium: MLPS.

Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties

Stephen J. Verzi, Darryl J. Melander, Hongkyu Yoon, 2020, AAAI Spring Symposium: MLPS.

A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall

Shawn E. Taylor, Craig M. Vineyard, Neal J. Cohen, 2010, BICA.

Preparing for the aftermath: Using emotional agents in game-based training for disaster response

Patrick G. Xavier, Stephen J. Verzi, Michael L. Bernard, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory

Michael Georgiopoulos, Gregory L. Heileman, Stephen J. Verzi, 2006, Neural Networks.

Off-line structural risk minimization and BARTMAP-S

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Generalization performance of ARTMAP-based networks in structural risk minimization framework

G. L. Heileman, S. J. Verzi, Stephen J Verzi, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Rademacher penalization applied to fuzzy ARTMAP and boosted ARTMAP

Gregory L. Heileman, Stephen J. Verzi, M. J. Healy, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Hierarchical ARTMAP

Michael Georgiopoulos, Gregory L. Heileman, Michael J. Healy, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Feedback density and causal complexity of simulation model structure

Stephen J Verzi, L. Swiler, Kiran Lakkaraju, 2021, J. Simulation.

Modeling cortical circuits.

Stephen Joseph Verzi, Patrick G. Xavier, Brandon Rohrer, 2010 .