Marcus Bursik

Affiliations:
  • University at Buffalo, USA


According to our database1, Marcus Bursik authored at least 13 papers between 2006 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2015
Forecasting Volcanic Plume Hazards With Fast UQ.
Proceedings of the International Conference on Computational Science, 2015

Learning under uncertainty for interpreting the pattern of volcanic eruptions.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Computation of probabilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion.
J. Comput. Phys., 2014

Fast Construction of Surrogates for UQ Central to DDDAS- Application to Volcanic Ash Transport.
Proceedings of the International Conference on Computational Science, 2014

Multiscale Method for Hazard Map Construction.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
Challenges in Developing DDDAS Based Methodology for Volcanic Ash Hazard Analysis - Effect of Numerical Weather Prediction Variability and Parameter Estimation.
Proceedings of the International Conference on Computational Science, 2013

2012
A DDDAS Framework for Volcanic Ash Propagation and Hazard Analysis.
Proceedings of the International Conference on Computational Science, 2012

Polynomial Chaos Quadrature-based Minimum Variance Approach for Source Parameters Estimation.
Proceedings of the International Conference on Computational Science, 2012

2009
Logisnet: A tool for multimethod, multiple soil layers slope stability analysis.
Comput. Geosci., 2009

2008
Intelligent System for Interpreting the Pattern of Volcanic Eruptions.
J. Adv. Inf. Fusion, 2008

2007
Interpreting the pattern of volcano eruptions: Intelligent system for tephra layer correlation.
Proceedings of the 10th International Conference on Information Fusion, 2007

2006
Parallel adaptive discontinuous Galerkin approximation for thin layer avalanche modeling.
Comput. Geosci., 2006

Use of neural networks and decision fusion for lithostratigraphic correlation with sparse data, Mono-Inyo Craters, California.
Comput. Geosci., 2006


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