# Theodore B. Trafalis

According to our database

Collaborative distances:

^{1}, Theodore B. Trafalis authored at least 48 papers between 1996 and 2018.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2018

Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods.

Computational Intelligence, 2018

2017

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

Optimization Methods and Software, 2017

2-Facility manifold location routing problem.

Optimization Letters, 2017

2015

A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces.

Comput. Manag. Science, 2015

A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics.

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

2014

A Bayesian beta kernel model for binary classification and online learning problems.

Statistical Analysis and Data Mining, 2014

Machine-learning classifiers for imbalanced tornado data.

Comput. Manag. Science, 2014

Preface: Special volume on data mining and informatics.

Annals OR, 2014

2013

On-line SVM learning via an incremental primal-dual technique.

Optimization Methods and Software, 2013

An incremental primal-dual method for nonlinear programming with special structure.

Optimization Letters, 2013

Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies.

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2011

Single-phase fluid flow classification via learning models.

Int. J. General Systems, 2011

Rare events and imbalanced datasets: an overview.

IJDMMM, 2011

Robust weighted kernel logistic regression in imbalanced and rare events data.

Computational Statistics & Data Analysis, 2011

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

Comput. Manag. Science, 2011

Kernel logistic regression using truncated Newton method.

Comput. Manag. Science, 2011

2010

The p-Centre machine for regression analysis.

Optimization Methods and Software, 2010

Support vector machine classification with noisy data: a second order cone programming approach.

Int. J. General Systems, 2010

2009

Neural Networks for Combinatorial Optimization.

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Quadratic programming formulations for classificationand regression.

Optimization Methods and Software, 2009

Support vector machines for spatiotemporal tornado prediction.

Int. J. General Systems, 2009

A regularized pairwise multi-classification knowledge-based machine and applications.

European Journal of Operational Research, 2009

A nonlinear multi-classification knowledge-based kernel machine.

Comput. Manag. Science, 2009

Guest Editorial.

Comput. Manag. Science, 2009

2008

Short term forecasting with support vector machines and application to stock price prediction.

Int. J. General Systems, 2008

Real-time prediction of order flowtimes using support vector regression.

Computers & OR, 2008

2007

Robust support vector machines for classification and computational issues.

Optimization Methods and Software, 2007

Support vector regression with noisy data: a second order cone programming approach.

Int. J. General Systems, 2007

Robust multiclass kernel-based classifiers.

Comp. Opt. and Appl., 2007

Regularization Based Classification Models.

Proceedings of the International Joint Conference on Neural Networks, 2007

Active Learning with Support Vector Machines for Tornado Prediction.

Proceedings of the Computational Science, 2007

Regularized Knowledge-Based Kernel Machine.

Proceedings of the Computational Science, 2007

2006

Learning networks for tornado detection.

Int. J. General Systems, 2006

Kernel methods for short-term portfolio management.

Expert Syst. Appl., 2006

Robust classification and regression using support vector machines.

European Journal of Operational Research, 2006

A hybrid model for exchange rate prediction.

Decision Support Systems, 2006

Foreword.

Comput. Manag. Science, 2006

A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine.

Proceedings of the International Joint Conference on Neural Networks, 2006

Detection of Tornados Using an Incremental Revised Support Vector Machine with Filters.

Proceedings of the Computational Science, 2006

Knowledge-Based Multiclass Support Vector Machines Applied to Vertical Two-Phase Flow.

Proceedings of the Computational Science, 2006

2005

Learning networks in rainfall estimation.

Comput. Manag. Science, 2005

2004

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

Proceedings of the Computational Science, 2004

2003

Tornado Detection with Support Vector Machines.

Proceedings of the Computational Science - ICCS 2003, 2003

2002

An Analytic Center Machine.

Machine Learning, 2002

A novel metaheuristics approach for continuous global optimization.

J. Global Optimization, 2002

2000

Support Vector Machine for Regression and Applications to Financial Forecasting.

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997

Training of supervised neural networks via a nonlinear primal-dual interior-point method.

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Neural network training via an affine scaling quadratic optimization algorithm.

Neural Networks, 1996