Follow
Lance Champagne
Title
Cited by
Cited by
Year
Search theory, agent-based simulation, and u-boats in the Bay of Biscay
Champagne, Carl
Proceedings of the 2003 Winter Simulation Conference, 2003. 1, 991-998 Vol. 1, 2003
662003
Using agent-based simulation to empirically examine search theory using a historical case study
RR Hill, RG Carl, LE Champagne
Journal of Simulation 1, 29-38, 2006
44*2006
Using agent-based simulation and game theory to examine the WWII Bay of Biscay U-boat campaign
RR Hill, LE Champagne, JC Price
The Journal of Defense Modeling and Simulation 1 (2), 99-109, 2004
432004
A simulation validation method based on bootstrapping applied to an agent-based simulation of the Bay of Biscay historical scenario
LE Champagne, RR Hill
The Journal of Defense Modeling and Simulation 6 (4), 201-212, 2009
182009
Development approaches coupled with verification and validation methodologies for agent-based mission-level analytical combat simulations
LE Champagne
Air Force Institute of Technology, 2004
162004
Agent-model validation based on historical data
LE Champagne, RR Hill
2007 Winter Simulation Conference, 1223-1231, 2007
92007
Bay of Biscay: Extensions into modern military issues
Champagne
Proceedings of the 2003 Winter Simulation Conference, 2003. 1, 1004-1012 Vol. 1, 2003
92003
Simulation validation with historic outcomes
LE Champagne, RR Hill
Proceedings of the Winter Simulation Conference, 2005., 10 pp., 2005
82005
Multi-agent simulation analysis: Bay of Biscay case study
L Champagne, R Hill
Proceedings of SimTecT 2003, 26-29, 2003
72003
Meta-heuristic optimization methods for quaternion-valued neural networks
J Bill, L Champagne, B Cox, T Bihl
Mathematics 9 (9), 938, 2021
62021
Simulating maritime chokepoint disruption in the global food supply
R Walton, JO Miller, L Champagne
2019 Winter Simulation Conference (WSC), 1708-1718, 2019
62019
Multi-agent techniques: Hunting U-boats in the Bay of Biscay
L Champagne, RG Carl, R Hill
Proceedings of SimTecT 2003, 26-29, 2003
62003
Sortie-based aircraft component demand rate to predict requirements
TR O'Neal, JM Dickens, LE Champagne, AV Glassburner, JR Anderson, ...
Journal of Defense Analytics and Logistics 5 (2), 214-223, 2021
32021
Agent-based modeling with game theory constructs
R Hill, JC Price, LE Champagne
SUMMER COMPUTER SIMULATION CONFERENCE, 30-38, 2003
3*2003
A comparison of quaternion neural network backpropagation algorithms
J Bill, BA Cox, L Champagne
Expert Systems with Applications 232, 120448, 2023
22023
History of Simulation
BP Zeigler, BB Nicolau de França, VV Graciano Neto, RR Hill, ...
Body of Knowledge for Modeling and Simulation: A Handbook by the Society for …, 2023
22023
The Effects of Aircraft Use and Available Repair Spares on Aircraft Sortie Generation: A Long-Duration Logistical Wargaming SimulationTool
NM Choo
22020
A simulation approach to address MQ-9 flying training unit manning shortfalls
T Talafuse, L Champagne, E Gilts
2019 Winter Simulation Conference (WSC), 2503-2514, 2019
22019
Benefits of using blended generative adversarial network images to augment classification model training data sets
BJ McCloskey, BA Cox, L Champagne, TJ Bihl
The Journal of Defense Modeling and Simulation, 15485129231170225, 2023
12023
Bayesian augmentation of deep learning to improve video classification
E Swize, L Champagne, B Cox, T Bihl
12022
The system can't perform the operation now. Try again later.
Articles 1–20