Theodore B. Trafalis

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 23

Top Topics

Global Optimisation

Machine Learning

Binary Classification

Top Venues

Comput. Manag. Sci.

Ann. Oper. Res.

Publications

Elaheh Jafarigol, Theodore B. Trafalis
A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs. Comput. Manag. Sci. 21 (1) (2024)
Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, Mona Zamankhani
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations. CoRR (2023)
Elaheh Jafarigol, Theodore B. Trafalis
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends. CoRR (2023)
Wei Sun, Theodore B. Trafalis
Control via Game-Theoretic Differential Dynamic Programming. ACC (2023)
Elaheh Jafarigol, Theodore B. Trafalis
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning. CoRR (2023)
Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis
Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey. CoRR (2023)
Elaheh Jafarigol, Theodore B. Trafalis
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs. CoRR (2023)
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis
Autonomous Learning Rate Optimization for Deep Learning. LION (2022)
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis
Optimizing Data Augmentation Policy Through Random Unidimensional Search. LION (2022)
Mahmud R. Siamizade, Theodore B. Trafalis
A robust global optimisation framework for stochastic integrated refinery planning with demand and price uncertainties. Int. J. Math. Oper. Res. 22 (4) (2022)
Ismail I. Almaraj, Theodore B. Trafalis
A robust optimization approach in a multi-objective closed-loop supply chain model under imperfect quality production. Ann. Oper. Res. 319 (2) (2022)
Wei Sun, Theodore B. Trafalis
Control via Game-Theoretic Differential Dynamic Programming. CoRR (2021)
Dimitrios I. Diochnos, Theodore B. Trafalis
Learning Reliable Rules under Class Imbalance. SDM (2021)
Hamoud S. Bin Obaid, Theodore B. Trafalis
An approximation to max min fairness in multi commodity networks. Comput. Manag. Sci. 17 (1) (2020)
Alexander M. Malyscheff, Theodore B. Trafalis
Kernel classification using a linear programming approach. Ann. Math. Artif. Intell. 88 (1-3) (2020)
Ismail I. Almaraj, Theodore B. Trafalis
Affinely adjustable robust optimization under dynamic uncertainty set for a novel robust closed-loop supply chain. Comput. Ind. Eng. 145 (2020)
Fuad Aleskerov, Sergey Demin, Michael B. Richman, Sergey Shvydun, Theodore B. Trafalis, Vyacheslav Yakuba
Constructing an Efficient Machine Learning Model for Tornado Prediction. Int. J. Inf. Technol. Decis. Mak. 19 (5) (2020)
Maher Maalouf, Dirar Homouz, Theodore B. Trafalis
Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods. Comput. Intell. 34 (1) (2018)
Robin C. Gilbert, Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie
A data-driven kernel method assimilation technique for geophysical modelling. Optim. Methods Softw. 32 (2) (2017)
XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE (2017)
Emre Tokgöz, Theodore B. Trafalis
2-Facility manifold location routing problem. Optim. Lett. 11 (2) (2017)
Emre Tokgöz, Iddrisu Awudu, Theodore B. Trafalis
A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics. MOD (2015)
Emre Tokgöz, Samir A. Alwazzi, Theodore B. Trafalis
A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces. Comput. Manag. Sci. 12 (3) (2015)
Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, S. Lakshmivarahan
Machine-learning classifiers for imbalanced tornado data. Comput. Manag. Sci. 11 (4) (2014)
Cameron A. MacKenzie, Theodore B. Trafalis, Kash Barker
A Bayesian beta kernel model for binary classification and online learning problems. Stat. Anal. Data Min. 7 (6) (2014)
Victoria C. P. Chen, Seoung Bum Kim, Theodore B. Trafalis
Preface: Special volume on data mining and informatics. Ann. Oper. Res. 216 (1) (2014)
Zhen Zhang, Theodore B. Trafalis
Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies. Complex Adaptive Systems (2013)
Nicolas P. Couellan, Theodore B. Trafalis
On-line SVM learning via an incremental primal-dual technique. Optim. Methods Softw. 28 (2) (2013)
Nicolas P. Couellan, Theodore B. Trafalis
An incremental primal-dual method for nonlinear programming with special structure. Optim. Lett. 7 (1) (2013)
Maher Maalouf, Theodore B. Trafalis, Indra Adrianto
Kernel logistic regression using truncated Newton method. Comput. Manag. Sci. 8 (4) (2011)
Maher Maalouf, Theodore B. Trafalis
Robust weighted kernel logistic regression in imbalanced and rare events data. Comput. Stat. Data Anal. 55 (1) (2011)
Olutayo O. Oladunni, Theodore B. Trafalis
Single-phase fluid flow classification via learning models. Int. J. Gen. Syst. 40 (05) (2011)
Maher Maalouf, Theodore B. Trafalis
Rare events and imbalanced datasets: an overview. Int. J. Data Min. Model. Manag. 3 (4) (2011)
Theodore B. Trafalis, Olutayo O. Oladunni, Michael B. Richman
Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting. Comput. Manag. Sci. 8 (3) (2011)
Theodore B. Trafalis, Samir A. Alwazzi
Support vector machine classification with noisy data: a second order cone programming approach. Int. J. Gen. Syst. 39 (7) (2010)
Indra Adrianto, Theodore B. Trafalis
The p-Centre machine for regression analysis. Optim. Methods Softw. 25 (2) (2010)
Olutayo O. Oladunni, Theodore B. Trafalis
A nonlinear multi-classification knowledge-based kernel machine. Comput. Manag. Sci. 6 (1) (2009)
Robin C. Gilbert, Theodore B. Trafalis
Quadratic programming formulations for classificationand regression. Optim. Methods Softw. 24 (2) (2009)
Indra Adrianto, Theodore B. Trafalis, Valliappa Lakshmanan
Support vector machines for spatiotemporal tornado prediction. Int. J. Gen. Syst. 38 (7) (2009)
O. Erhun Kundakcioglu, Marcello Sanguineti, Theodore B. Trafalis
Guest Editorial. Comput. Manag. Sci. 6 (1) (2009)
Olutayo O. Oladunni, Theodore B. Trafalis
A regularized pairwise multi-classification knowledge-based machine and applications. Eur. J. Oper. Res. 195 (3) (2009)
Abdulrahman Alenezi, Scott A. Moses, Theodore B. Trafalis
Real-time prediction of order flowtimes using support vector regression. Comput. Oper. Res. 35 (11) (2008)
Huseyin Ince, Theodore B. Trafalis
Short term forecasting with support vector machines and application to stock price prediction. Int. J. Gen. Syst. 37 (6) (2008)
Olutayo O. Oladunni, Theodore B. Trafalis
Regularization Based Classification Models. IJCNN (2007)
Theodore B. Trafalis, Samir A. Alwazzi
Support vector regression with noisy data: a second order cone programming approach. Int. J. Gen. Syst. 36 (2) (2007)
Olutayo O. Oladunni, Theodore B. Trafalis
Regularized Knowledge-Based Kernel Machine. International Conference on Computational Science (1) (2007)
Theodore B. Trafalis, Indra Adrianto, Michael B. Richman
Active Learning with Support Vector Machines for Tornado Prediction. International Conference on Computational Science (1) (2007)
Theodore B. Trafalis, Robin C. Gilbert
Robust support vector machines for classification and computational issues. Optim. Methods Softw. 22 (1) (2007)
Budi Santosa, Theodore B. Trafalis
Robust multiclass kernel-based classifiers. Comput. Optim. Appl. 38 (2) (2007)
Hyung-Jin Son, Theodore B. Trafalis
Detection of Tornados Using an Incremental Revised Support Vector Machine with Filters. International Conference on Computational Science (3) (2006)
Huseyin Ince, Theodore B. Trafalis
A hybrid model for exchange rate prediction. Decis. Support Syst. 42 (2) (2006)
Theodore B. Trafalis
Foreword. Comput. Manag. Sci. 3 (2) (2006)
Theodore B. Trafalis, Robin C. Gilbert
Robust classification and regression using support vector machines. Eur. J. Oper. Res. 173 (3) (2006)
Theodore B. Trafalis, Budi Santosa, Michael B. Richman
Learning networks for tornado detection. Int. J. Gen. Syst. 35 (1) (2006)
Olutayo O. Oladunni, Theodore B. Trafalis
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. IJCNN (2006)
Olutayo O. Oladunni, Theodore B. Trafalis, Dimitrios V. Papavassiliou
Knowledge-Based Multiclass Support Vector Machines Applied to Vertical Two-Phase Flow. International Conference on Computational Science (1) (2006)
Huseyin Ince, Theodore B. Trafalis
Kernel methods for short-term portfolio management. Expert Syst. Appl. 30 (3) (2006)
Theodore B. Trafalis, Budi Santosa, Michael B. Richman
Learning networks in rainfall estimation. Comput. Manag. Sci. 2 (3) (2005)
Theodore B. Trafalis, Budi Santosa, Michael B. Richman
Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction. International Conference on Computational Science (2004)
Theodore B. Trafalis, Huseyin Ince, Michael B. Richman
Tornado Detection with Support Vector Machines. International Conference on Computational Science (2003)
Theodore B. Trafalis, Alexander M. Malyscheff
An Analytic Center Machine. Mach. Learn. 46 (1-3) (2002)
Theodore B. Trafalis, Suat Kasap
A novel metaheuristics approach for continuous global optimization. J. Glob. Optim. 23 (2) (2002)
Theodore B. Trafalis, Huseyin Ince
Support Vector Machine for Regression and Applications to Financial Forecasting. IJCNN (6) (2000)
Theodore B. Trafalis, Nicolas P. Couellan, Sébastien C. Bertrand
Training of supervised neural networks via a nonlinear primal-dual interior-point method. ICNN (1997)
Theodore B. Trafalis, Nicolas P. Couellan
Neural network training via an affine scaling quadratic optimization algorithm. Neural Networks 9 (3) (1996)
Mark J. Kaiser, Thomas L. Morin, Theodore B. Trafalis
Centers and Invariant Points of Convex Bodies. Applied Geometry And Discrete Mathematics (1990)