Theodore B. Trafalis

85 papers A 3B 7C 2Misc 6Journal 57Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	H J. Optim. Theory Appl. Wei Sun, Theodore B. Trafalis
2025	J	`jnl`	Machine learning techniques with fairness for prediction of completion of drug and alcohol rehabilitation. J. Comput. Soc. Sci. Karen Roberts-Licklider, Theodore B. Trafalis
2025	J	`jnl`	Optimizing Treatment Facility Locations in Oklahoma Using Haversine, Euclidean, Manhattan, and Chebyshev Distance Optimization. Oper. Res. Forum Karen Roberts-Licklider, Theodore B. Trafalis
2025	J	`jnl`	Risk-aware controller implementation for risk-sensitive mean field games through a game-theoretic differential dynamic programming approach. Int. J. Control Wei Sun, Theodore B. Trafalis
2025	J	`jnl`	Using Federated Machine Learning in Predictive Maintenance of Jet Engines. CoRR Asaph Matheus Barbosa, Thao Vy Nhat Ngo, Elaheh Jafarigol, Theodore B. Trafalis, Emuobosa P. Ojoboh
2024	J	`jnl`	A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs. Comput. Manag. Sci. Elaheh Jafarigol, Theodore B. Trafalis
2024	A	`conf`	Fairness in Machine Learning: A Survey Part 1. DIS Karen Roberts-Licklider, Theodore B. Trafalis
2024	A	`conf`	Fairness in Optimization and ML: A Survey Part 2. DIS Karen Roberts-Licklider, Theodore B. Trafalis
2024	J	`jnl`	Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation. CoRR Karen Roberts-Licklider, Theodore B. Trafalis
2024	J	`jnl`	To raise or not to raise: the autonomous learning rate question. Ann. Math. Artif. Intell. Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis
2023	J	`jnl`	A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs. CoRR Elaheh Jafarigol, Theodore B. Trafalis
2023	J	`jnl`	A Review of Machine Learning Techniques in Imbalanced Data and Future Trends. CoRR Elaheh Jafarigol, Theodore B. Trafalis
2023	J	`jnl`	Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations. CoRR Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, Mona Zamankhani
2023	C	`conf`	Learning-Based Nonlinear H ACC Wei Sun, Theodore B. Trafalis
2023	J	`jnl`	Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey. CoRR Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis
2023	J	`jnl`	The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning. CoRR Elaheh Jafarigol, Theodore B. Trafalis
2022	J	`jnl`	A robust global optimisation framework for stochastic integrated refinery planning with demand and price uncertainties. Int. J. Math. Oper. Res. Mahmud R. Siamizade, Theodore B. Trafalis
2022	J	`jnl`	A robust optimization approach in a multi-objective closed-loop supply chain model under imperfect quality production. Ann. Oper. Res. Ismail I. Almaraj, Theodore B. Trafalis
2022	—	`conf`	Autonomous Learning Rate Optimization for Deep Learning. LION Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis
2022	—	`conf`	Optimizing Data Augmentation Policy Through Random Unidimensional Search. LION Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis
2021	A	`conf`	Learning Reliable Rules under Class Imbalance. SDM Dimitrios I. Diochnos, Theodore B. Trafalis
2021	J	`jnl`	Learning-Based Nonlinear H CoRR Wei Sun, Theodore B. Trafalis
2020	J	`jnl`	Affinely adjustable robust optimization under dynamic uncertainty set for a novel robust closed-loop supply chain. Comput. Ind. Eng. Ismail I. Almaraj, Theodore B. Trafalis
2020	J	`jnl`	An approximation to max min fairness in multi commodity networks. Comput. Manag. Sci. Hamoud S. Bin Obaid, Theodore B. Trafalis
2020	J	`jnl`	Constructing an Efficient Machine Learning Model for Tornado Prediction. Int. J. Inf. Technol. Decis. Mak. Fuad Aleskerov, Sergey Demin, Michael B. Richman, Sergey Shvydun, Theodore B. Trafalis, Vyacheslav Yakuba
2020	J	`jnl`	Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients. Symmetry Md. Manjurul Ahsan, Tasfiq E. Alam, Theodore B. Trafalis, Pedro Huebner
2020	J	`jnl`	Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application. SN Comput. Sci. Elaheh Jafarigol, Theodore B. Trafalis
2020	J	`jnl`	Kernel classification using a linear programming approach. Ann. Math. Artif. Intell. Alexander M. Malyscheff, Theodore B. Trafalis
2018	J	`jnl`	Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods. Comput. Intell. Maher Maalouf, Dirar Homouz, Theodore B. Trafalis
2017	J	`jnl`	2-Facility manifold location routing problem. Optim. Lett. Emre Tokgöz, Theodore B. Trafalis
2017	J	`jnl`	A data-driven kernel method assimilation technique for geophysical modelling. Optim. Methods Softw. Robin C. Gilbert, Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie
2017	C	`conf`	Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE Xueyan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang
2015	—	`conf`	A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics. MOD Emre Tokgöz, Iddrisu Awudu, Theodore B. Trafalis
2015	J	`jnl`	A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces. Comput. Manag. Sci. Emre Tokgöz, Samir A. Alwazzi, Theodore B. Trafalis
2015	—	`ed.`	INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015 INNS Conference on Big Data Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis
2014	J	`jnl`	A Bayesian beta kernel model for binary classification and online learning problems. Stat. Anal. Data Min. Cameron A. MacKenzie, Theodore B. Trafalis, Kash Barker
2014	J	`jnl`	Machine-learning classifiers for imbalanced tornado data. Comput. Manag. Sci. Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, S. Lakshmivarahan
2014	J	`jnl`	Preface: Special volume on data mining and informatics. Ann. Oper. Res. Victoria C. P. Chen, Seoung Bum Kim, Theodore B. Trafalis
2013	J	`jnl`	An incremental primal-dual method for nonlinear programming with special structure. Optim. Lett. Nicolas P. Couellan, Theodore B. Trafalis
2013	J	`jnl`	On-line SVM learning via an incremental primal-dual technique. Optim. Methods Softw. Nicolas P. Couellan, Theodore B. Trafalis
2013	—	`conf`	Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies. Complex Adaptive Systems Zhen Zhang, Theodore B. Trafalis
2011	J	`jnl`	Kernel logistic regression using truncated Newton method. Comput. Manag. Sci. Maher Maalouf, Theodore B. Trafalis, Indra Adrianto
2011	J	`jnl`	Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting. Comput. Manag. Sci. Theodore B. Trafalis, Olutayo O. Oladunni, Michael B. Richman
2011	J	`jnl`	Rare events and imbalanced datasets: an overview. Int. J. Data Min. Model. Manag. Maher Maalouf, Theodore B. Trafalis
2011	J	`jnl`	Robust weighted kernel logistic regression in imbalanced and rare events data. Comput. Stat. Data Anal. Maher Maalouf, Theodore B. Trafalis
2011	J	`jnl`	Single-phase fluid flow classification via learning models. Int. J. Gen. Syst. Olutayo O. Oladunni, Theodore B. Trafalis
2010	J	`jnl`	Support vector machine classification with noisy data: a second order cone programming approach. Int. J. Gen. Syst. Theodore B. Trafalis, Samir A. Alwazzi
2010	J	`jnl`	The p-Centre machine for regression analysis. Optim. Methods Softw. Indra Adrianto, Theodore B. Trafalis
2009	J	`jnl`	A nonlinear multi-classification knowledge-based kernel machine. Comput. Manag. Sci. Olutayo O. Oladunni, Theodore B. Trafalis
2009	J	`jnl`	A regularized pairwise multi-classification knowledge-based machine and applications. Eur. J. Oper. Res. Olutayo O. Oladunni, Theodore B. Trafalis
2009	J	`jnl`	Guest Editorial. Comput. Manag. Sci. O. Erhun Kundakcioglu, Marcello Sanguineti, Theodore B. Trafalis
2009	—	`ch.`	Neural Networks for Combinatorial Optimization. Encyclopedia of Optimization Theodore B. Trafalis, Suat Kasap
2009	J	`jnl`	Quadratic programming formulations for classificationand regression. Optim. Methods Softw. Robin C. Gilbert, Theodore B. Trafalis
2009	J	`jnl`	Support vector machines for spatiotemporal tornado prediction. Int. J. Gen. Syst. Indra Adrianto, Theodore B. Trafalis, Valliappa Lakshmanan
2008	J	`jnl`	Real-time prediction of order flowtimes using support vector regression. Comput. Oper. Res. Abdulrahman Alenezi, Scott A. Moses, Theodore B. Trafalis
2008	J	`jnl`	Short term forecasting with support vector machines and application to stock price prediction. Int. J. Gen. Syst. Huseyin Ince, Theodore B. Trafalis
2007	Misc	`conf`	Active Learning with Support Vector Machines for Tornado Prediction. International Conference on Computational Science (1) Theodore B. Trafalis, Indra Adrianto, Michael B. Richman
2007	B	`conf`	Regularization Based Classification Models. IJCNN Olutayo O. Oladunni, Theodore B. Trafalis
2007	Misc	`conf`	Regularized Knowledge-Based Kernel Machine. International Conference on Computational Science (1) Olutayo O. Oladunni, Theodore B. Trafalis
2007	J	`jnl`	Robust multiclass kernel-based classifiers. Comput. Optim. Appl. Budi Santosa, Theodore B. Trafalis
2007	J	`jnl`	Robust support vector machines for classification and computational issues. Optim. Methods Softw. Theodore B. Trafalis, Robin C. Gilbert
2007	J	`jnl`	Support vector regression with noisy data: a second order cone programming approach. Int. J. Gen. Syst. Theodore B. Trafalis, Samir A. Alwazzi
2006	B	`conf`	A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. IJCNN Olutayo O. Oladunni, Theodore B. Trafalis
2006	J	`jnl`	A hybrid model for exchange rate prediction. Decis. Support Syst. Huseyin Ince, Theodore B. Trafalis
2006	Misc	`conf`	Detection of Tornados Using an Incremental Revised Support Vector Machine with Filters. International Conference on Computational Science (3) Hyung-Jin Son, Theodore B. Trafalis
2006	J	`jnl`	Foreword. Comput. Manag. Sci. Theodore B. Trafalis
2006	J	`jnl`	Kernel methods for short-term portfolio management. Expert Syst. Appl. Huseyin Ince, Theodore B. Trafalis
2006	Misc	`conf`	Knowledge-Based Multiclass Support Vector Machines Applied to Vertical Two-Phase Flow. International Conference on Computational Science (1) Olutayo O. Oladunni, Theodore B. Trafalis, Dimitrios V. Papavassiliou
2006	J	`jnl`	Learning networks for tornado detection. Int. J. Gen. Syst. Theodore B. Trafalis, Budi Santosa, Michael B. Richman
2006	J	`jnl`	Robust classification and regression using support vector machines. Eur. J. Oper. Res. Theodore B. Trafalis, Robin C. Gilbert
2005	B	`conf`	Determination of the optimal batch size in incremental approaches: an application to tornado detection. IJCNN Hyung-Jin Son, Theodore B. Trafalis, Michael B. Richman
2005	J	`jnl`	Learning networks in rainfall estimation. Comput. Manag. Sci. Theodore B. Trafalis, Budi Santosa, Michael B. Richman
2005	B	`conf`	Maximum margin classifiers with noisy data: a robust optimization approach. IJCNN Theodore B. Trafalis, Robin C. Gilbert
2004	B	`conf`	Kernel principal component analysis and support vector machines for stock price prediction. IJCNN Huseyin Ince, Theodore B. Trafalis
2004	Misc	`conf`	Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction. International Conference on Computational Science Theodore B. Trafalis, Budi Santosa, Michael B. Richman
2003	B	`conf`	Robust optimization in support vector machine training with bounded errors. IJCNN Theodore B. Trafalis, Samir A. Alwazzi
2003	B	`conf`	Support vector machines and the electoral college. IJCNN Alexander M. Malyscheff, Theodore B. Trafalis
2003	Misc	`conf`	Tornado Detection with Support Vector Machines. International Conference on Computational Science Theodore B. Trafalis, Huseyin Ince, Michael B. Richman
2002	J	`jnl`	A novel metaheuristics approach for continuous global optimization. J. Glob. Optim. Theodore B. Trafalis, Suat Kasap
2002	J	`jnl`	An Analytic Center Machine. Mach. Learn. Theodore B. Trafalis, Alexander M. Malyscheff
2000	—	`conf`	Support Vector Machine for Regression and Applications to Financial Forecasting. IJCNN (6) Theodore B. Trafalis, Huseyin Ince
1999	—	`ch.`	Neural Networks Approaches for Combinatorial Optimization Problems. Handbook of Combinatorial Optimization Theodore B. Trafalis, Suat Kasap
1997	—	`conf`	Training of supervised neural networks via a nonlinear primal-dual interior-point method. ICNN Theodore B. Trafalis, Nicolas P. Couellan, Sébastien C. Bertrand
1996	J	`jnl`	Neural network training via an affine scaling quadratic optimization algorithm. Neural Networks Theodore B. Trafalis, Nicolas P. Couellan
1990	—	`conf`	Centers and Invariant Points of Convex Bodies. Applied Geometry And Discrete Mathematics Mark J. Kaiser, Thomas L. Morin, Theodore B. Trafalis