Michael B. Richman

According to our database, Michael B. Richman authored at least 16 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Constructing an Efficient Machine Learning Model for Tornado Prediction.

Fuad Aleskerov, Sergey Demin, Michael B. Richman, Sergey Shvydun, Theodore B. Trafalis, Vyacheslav Yakuba

Int. J. Inf. Technol. Decis. Mak., 2020

2017

A data-driven kernel method assimilation technique for geophysical modelling.

Robin C. Gilbert, Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie

Optim. Methods Softw., 2017

2015

Uniqueness and Causes of the California Drought.

Michael B. Richman, Lance M. Leslie

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014

Machine-learning classifiers for imbalanced tornado data.

Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, S. Lakshmivarahan

Comput. Manag. Sci., 2014

Attribution and Prediction of Maximum Temperature Extremes in SE Australia.

Michael B. Richman, Lance M. Leslie

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Cluster Analysis of North Atlantic Tropical Cyclones.

Irenea L. Corporal-Lodangco, Michael B. Richman, Lance M. Leslie, Peter J. Lamb

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013

Classification of Changes in Extreme Heat Over Southeastern Australia.

Michael B. Richman, Lance M. Leslie

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012

Adaptive Machine Learning Approaches to Seasonal Prediction of Tropical Cyclones.

Michael B. Richman, Lance M. Leslie

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Assessing Atmospheric Variability using Kernel Principal Component Analysis.

Andrew E. Mercer, Michael B. Richman

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011

Identification of severe weather outbreaks using kernel principal component analysis.

Andrew E. Mercer, Michael B. Richman, Lance M. Leslie

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting.

Theodore B. Trafalis, Olutayo O. Oladunni, Michael B. Richman

Comput. Manag. Sci., 2011

2007

Active Learning with Support Vector Machines for Tornado Prediction.

Theodore B. Trafalis, Indra Adrianto, Michael B. Richman

Proceedings of the Computational Science, 2007

2006

Learning networks for tornado detection.

Theodore B. Trafalis, Budi Santosa, Michael B. Richman

Int. J. Gen. Syst., 2006

2005

Learning networks in rainfall estimation.

Theodore B. Trafalis, Budi Santosa, Michael B. Richman

Comput. Manag. Sci., 2005

2004

Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction.

Theodore B. Trafalis, Budi Santosa, Michael B. Richman

Proceedings of the Computational Science, 2004

2003

Tornado Detection with Support Vector Machines.

Theodore B. Trafalis, Huseyin Ince, Michael B. Richman

Proceedings of the Computational Science - ICCS 2003, 2003