David Rogers - researchr alias

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Viewing Publication 1 - 34 from 34

2023

EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulationsKlaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David Rogers, Ulrich Schramm, Jeffrey Young 0001, Alexander Debus. cphysics, 291:108849, October 2023. [doi]

2022

2021

2020

2016

YASQLT - Yet Another SQL Tutor - A Pragmatic ApproachIlia Bider, David Rogers. ER 2016: 197-206 [doi]

Reflections on Case Studies in Mobile Seamless LearningDavid Metcalf, Max Jackson, David Rogers. In Lung-Hsiang Wong, Marcelo Milrad, Marcus Specht, editors, Seamless Learning in the Age of Mobile Connectivity. pages 109-117, Springer, 2016. [doi]

2015

On the Greenness of In-Situ and Post-Processing Visualization PipelinesVignesh Adhinarayanan, Wu-chun Feng, Jonathan Woodring, David Rogers, James Ahrens. ipps 2015: 880-887 [doi]

A Dialectic on Graduate Analytics EducationDavid Rogers, Damian Fernandez-Lamela, Ravishankar Narayan, Sue Conger. icis 2015: [doi]

2013

Fine-Grain Interoperability of Scientific Workflows in Distributed Computing InfrastructuresKassian Plankensteiner, Radu Prodan, Matthias Janetschek, Thomas Fahringer, Johan Montagnat, David Rogers, Ian Harvey, Ian Taylor, Ákos Balaskó, Péter Kacsuk. grid, 11(3):429-455, 2013. [doi]

Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow ExecutionsDavid Rogers, Ian Harvey, Tram Truong Huu, Kieran Evans, Tristan Glatard, Ibrahim Kallel, Ian Taylor, Johan Montagnat, Andrew Jones, Andrew Harrison. grid, 11(3):457-480, 2013. [doi]

A Case Study into Using Common Real-Time Workflow Monitoring Infrastructure for Scientific WorkflowsKaran Vahi, Ian Harvey, Taghrid Samak, Daniel K. Gunter, Kieran Evans, David Rogers, Ian Taylor, Monte Goode, Fabio Silva, Eddie Al-Shakarchi, Gaurang Mehta, Ewa Deelman, Andrew Jones. grid, 11(3):381-406, 2013. [doi]

2012

Assessing regional scale habitat area with a three dimensional measureDavid Rogers, Alan Cooper, Paul McKenzie, Thomas McCann. ecoi, 7(1):1-6, 2012. [doi]

2011

Object reuse and exchange for publishing and sharing workflowsAndrew Harrison, Ian Harvey, Andrew Jones, David Rogers, Ian Taylor. sc 2011: 67-76 [doi]

2010

Integrating paper-based habitat mapping with mobile electronic field recording proceduresDavid Rogers, Thomas McCann, Alan Cooper. ecoi, 5(6):479-483, 2010. [doi]

Extended-Connectivity FingerprintsDavid Rogers, Mathew Hahn. jcisd, 50(5):742-754, 2010. [doi]

1997

Evolutionary Statistics: Using a Genetic Algorithm and Model Reduction to Isolate Alternate Statistical Hypotheses of Experimental DataDavid Rogers. icga 1997: 735-742

1996

Local Tools: An Alternative to Tool PalettesBenjamin B. Bederson, James D. Hollan, Allison Druin, Jason Stewart, David Rogers, David Proft. uist 1996: 169-170 [doi]

1995

Development of the Genetic Function Approximation AlgorithmDavid Rogers. icga 1995: 589-596

An application of shared virtual reality to situational trainingSharon A. Stansfield, Daniel Shawver, Nadine Miner, David Rogers. vr 1995: 156-161 [doi]

Mission visualization for planning and trainingSharon A. Stansfield, Daniel Shawver, David Rogers, Ron R. Hightower. cga, 15(5):12-14, 1995. [doi]

1994

Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property RelationshipsDavid Rogers, Anton J. Hopfinger. jcisd, 34(4):854-866, 1994. [doi]

1993

A Biologically Motivated Associative Memory ArchitectureCoe F. Miles, David Rogers. IJNS, 4(2):109-127, 1993. [doi]

1991

G/SPLINES: A Hybrid of Friedman s Multivariate Adaptive Regression Splines (MARS) Algorithm with Holland s Genetic AlgorithmDavid Rogers. icga 1991: 384-391

Data Analysis Using G/SplinesDavid Rogers. nips 1992: 1088-1095 [doi]

1989

Kanerva s Sparse Distributed Memory: an Associative Memory Algorithm Well-Suited to the Connection MachineDavid Rogers. ijhsc, 1(2):349-365, 1989. [doi]

Predicting Weather Using a Genetic Memory: A Combination of Kanerva s Sparse Distributed Memory with Holland s Genetic AlgorithmsDavid Rogers. nips 1990: 455-464 [doi]

1988

Statistical Prediction with Kanerva s Sparse Distributed MemoryDavid Rogers. nips 1989: 586-593 [doi]

1984

Artificial intelligence in organic synthesis. SST: starting material selection strategies. An application of superstructure searchW. Todd Wipke, David Rogers. jcisd, 24(2):71-81, 1984. [doi]

Rapid subgraph search using parallelismW. Todd Wipke, David Rogers. jcisd, 24(4):255-262, 1984. [doi]

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