S. Verzi

发表

Extending Opinion Dynamics to Model Public Health Problems and Analyze Public Policy Interventions

Alexander V. Outkin, Nancy S. Brodsky, Thomas W. Moore, 2011 .

Michael Georgiopoulos, Gregory L. Heileman, Stephen J. Verzi, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Modeling Hospital Evacuations for Infrastructure Disruptions.

Mark A. Turnquist, Stephen Joseph Verzi, Eric D. Vugrin, 2015 .

A Multimodal Hypertensor Architecture for Association Formation

Craig M. Vineyard, Thomas P. Caudell, Stephen J. Verzi, 2011, BICA.

Optical holography as an analogue for a neural reuse mechanism 1

Ann E. Speed, C. Warrender, S. Verzi, 2010, Behavioral and Brain Sciences.

Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification

Wei Chen, Daniel DeLaurentis, Laura Painton Swiler, 2016 .

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.

An information-theoretic, vector-space-model approach to cross-language information retrieval*

Ahmed Abdelali, Brett W. Bader, Peter A. Chew, 2011, Natural Language Engineering.

Repeated play of the SVM game as a means of adaptive classification

Conrad D. James, Craig M. Vineyard, Gregory L. Heileman, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Modeling cortical circuits.

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

Memory in Silico: Building a Neuromimetic Episodic Cognitive Model

J. Daniel Morrow, Shawn E. Taylor, Craig M. Vineyard, 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

A multi-modal network architecture for knowledge discovery

Shawn E. Taylor, Irene Dubicka, Craig M. Vineyard, 2012, Security Informatics.

A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture

Shawn E. Taylor, Irene Dubicka, Craig M. Vineyard, 2011, The 2011 International Joint Conference on Neural Networks.

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

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

Yucca Mountain licensing support network archive assistant.

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

Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory

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

Universal approximation with Fuzzy ART and Fuzzy ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP

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

Boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2002, SPIE Defense + Commercial Sensing.

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.

Foundations to the unified psycho-cognitive engine.

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

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.

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning

Craig M. Vineyard, Stephen J. Verzi, S. Verzi, 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).

Modeling Evacuation of a Hospital without Electric Power

E. Vugrin, M. Turnquist, Tamar Wyte-Lake, 2015, Prehospital and Disaster Medicine.

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

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

The Impact of Attitude Resolve on Population Wide Attitude Change

Craig M. Vineyard, Kiran Lakkaraju, Stephen J. Verzi, 2012, SBP.

Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Optimization-based computation with spiking neurons

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Simulating smoking behaviors based on cognition-determined, opinion-based system dynamics

Stephen J. Verzi, Michael L. Bernard, Nadine E. Miner, 2015, 2015 Winter Simulation Conference (WSC).

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.

Simulating human behavior for national security human interactions.

Stephen Joseph Verzi, Patrick G. Xavier, Michael Lewis Bernard, 2007 .

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.

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security pdf

Michael R. Smith, Joe B. Ingram, Armida J. Carbajal, 2020, ArXiv.

Computing with Spikes: The Advantage of Fine-Grained Timing

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

Neural-Inspired Anomaly Detection

Craig M. Vineyard, James B. Aimone, Stephen J. Verzi, 2018 .

Game theoretic mechanism design applied to machine learning classification

Ramiro Jordan, Craig M. Vineyard, Gregory L. Heileman, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

Fuzzy Set Methods for Assessing Uncertainty in the Modeling and Control of Space Structures

Timothy J. Ross, J. D. Chrostowski, T. K. Hasselman, 1993, J. Intell. Fuzzy Syst..

Evaluating Moving Target Defense with PLADD

Alexander V. Outkin, John Daniel Siirola, Daniel R. Tauritz, 2015 .

Training deep neural networks for binary communication with the Whetstone method pdf

Craig M. Vineyard, James B. Aimone, William M. Severa, 2018, Nature Machine Intelligence.

MapReduce SVM Game

Conrad D. James, Craig M. Vineyard, Gregory L. Heileman, 2015, INNS Conference on Big Data.

A Spike-Timing Neuromorphic Architecture

Fred Rothganger, Conrad D. James, Craig M. Vineyard, 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).