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Lance E. Champagne
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2020 – today
- 2024
- [j4]Ryan Walton, Frank W. Ciarallo, Lance E. Champagne:
A unified digital twin approach incorporating virtual, physical, and prescriptive analytical components to support adaptive real-time decision-making. Comput. Ind. Eng. 193: 110241 (2024) - [j3]Jamie Zimmermann, Lance E. Champagne, John M. Dickens, Benjamin T. Hazen:
Approaches to improve preprocessing for Latent Dirichlet Allocation topic modeling. Decis. Support Syst. 185: 114310 (2024) - [c9]Alex Hoffendahl, Chancellor Johnstone, Alex Stephens, Richard Dill, Lance E. Champagne:
Multi-Objective Multi-Commodity Flow Optimization for Wartime Planning with Cyber-Effects. INOC 2024: 16-21 - 2023
- [j2]Jeremiah Bill, Bruce A. Cox, Lance E. Champagne:
A comparison of quaternion neural network backpropagation algorithms. Expert Syst. Appl. 232: 120448 (2023) - [c8]Dante C. Reid, Lance E. Champagne, Nathan B. Gaw:
Implementing Efficient Dynamic Threat Avoidance Routing Based on Dijkstra's Shortest Path Algorithm in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM). WSC 2023: 2415-2426 - [r1]Bernard P. Zeigler, Breno Bernard Nicolau de França, Valdemar Vicente Graciano Neto, Raymond R. Hill, Lance E. Champagne, Tuncer I. Ören:
History of Simulation. Body of Knowledge for Modeling and Simulation 2023: 413-434 - 2022
- [c7]Emmie Swize, Lance E. Champagne, Bruce Cox, Trevor Bihl:
Bayesian Augmentation of Deep Learning to Improve Video Classification. HICSS 2022: 1-10
2010 – 2019
- 2019
- [c6]Ryan Walton, John O. Miller, Lance E. Champagne:
Simulating Maritime Chokepoint Disruption in the Global Food Supply. WSC 2019: 1708-1718 - [c5]Thomas Paul Talafuse, Lance E. Champagne, Erika Gilts:
A Simulation Approach to Address Mq-9 Flying Training Unit Manning Shortfalls. WSC 2019: 2503-2514
2000 – 2009
- 2007
- [c4]Lance E. Champagne, Raymond R. Hill:
Agent-model validation based on historical data. WSC 2007: 1223-1231 - 2006
- [j1]Raymond R. Hill, R. Greg Carl, Lance E. Champagne:
Using agent-based simulation to empirically examine search theory using a historical case study. J. Simulation 1(1): 29-38 (2006) - 2005
- [c3]Lance E. Champagne, Raymond R. Hill:
Simulation validation with historic outcomes. WSC 2005: 1138-1147 - 2003
- [c2]Lance E. Champagne, R. Greg Carl, Raymond R. Hill:
Agent models II: search theory, agent-based simulation, and U-boats in the Bay of Biscay. WSC 2003: 991-998 - [c1]Lance E. Champagne:
Agent models II: Bay of Biscay: extensions into modern military issues. WSC 2003: 1004-1012
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last updated on 2024-09-10 01:14 CEST by the dblp team
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