default search action
Theodore B. Trafalis
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j44]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): 22 (2024) - 2023
- [c18]Wei Sun, Theodore B. Trafalis:
Learning-Based Nonlinear H∞ Control via Game-Theoretic Differential Dynamic Programming. ACC 2023: 1283-1288 - [i6]Elaheh Jafarigol, Theodore B. Trafalis:
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends. CoRR abs/2310.07917 (2023) - [i5]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 abs/2310.10874 (2023) - [i4]Elaheh Jafarigol, Theodore B. Trafalis:
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs. CoRR abs/2310.13161 (2023) - [i3]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 abs/2311.05790 (2023) - [i2]Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, Mona Zamankhani:
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations. CoRR abs/2311.10832 (2023) - 2022
- [j43]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): 1479-1505 (2022) - [j42]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): 496-527 (2022) - [c17]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: 292-305 - [c16]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: 306-318 - 2021
- [c15]Dimitrios I. Diochnos
Learning Reliable Rules under Class Imbalance. SDM 2021: 28-36 - [i1]Wei Sun, Theodore B. Trafalis:
Learning-Based Nonlinear H∞ Control via Game-Theoretic Differential Dynamic Programming. CoRR abs/2107.04507 (2021) - 2020
- [j41]Alexander M. Malyscheff
Kernel classification using a linear programming approach. Ann. Math. Artif. Intell. 88(1-3): 39-51 (2020) - [j40]Ismail I. Almaraj
Affinely adjustable robust optimization under dynamic uncertainty set for a novel robust closed-loop supply chain. Comput. Ind. Eng. 145: 106521 (2020) - [j39]Hamoud S. Bin Obaid
An approximation to max min fairness in multi commodity networks. Comput. Manag. Sci. 17(1): 65-77 (2020) - [j38]Fuad Aleskerov, Sergey Demin, Michael B. Richman, Sergey Shvydun
Constructing an Efficient Machine Learning Model for Tornado Prediction. Int. J. Inf. Technol. Decis. Mak. 19(5): 1177-1187 (2020) - [j37]Elaheh Jafarigol
Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application. SN Comput. Sci. 1(6): 360 (2020) - [j36]Md. Manjurul Ahsan
Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients. Symmetry 12(9): 1526 (2020)
2010 – 2019
- 2018
- [j35]Maher Maalouf
Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods. Comput. Intell. 34(1): 161-174 (2018) - 2017
- [j34]Emre Tokgöz, Theodore B. Trafalis
2-Facility manifold location routing problem. Optim. Lett. 11(2): 389-405 (2017) - [j33]Robin C. Gilbert, Theodore B. Trafalis, Michael B. Richman
A data-driven kernel method assimilation technique for geophysical modelling. Optim. Methods Softw. 32(2): 237-249 (2017) - [c14]XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang:
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE 2017: 241-245 - 2015
- [j32]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): 397-415 (2015) - [c13]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: 130-144 - [e1]Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis:
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015. Procedia Computer Science 53, Elsevier 2015 [contents] - 2014
- [j31]Victoria C. P. Chen, Seoung Bum Kim, Theodore B. Trafalis
Preface: Special volume on data mining and informatics. Ann. Oper. Res. 216(1): 1-2 (2014) - [j30]Theodore B. Trafalis
Machine-learning classifiers for imbalanced tornado data. Comput. Manag. Sci. 11(4): 403-418 (2014) - [j29]Cameron A. MacKenzie
A Bayesian beta kernel model for binary classification and online learning problems. Stat. Anal. Data Min. 7(6): 434-449 (2014) - 2013
- [j28]Nicolas P. Couellan
An incremental primal-dual method for nonlinear programming with special structure. Optim. Lett. 7(1): 51-62 (2013) - [j27]Nicolas P. Couellan
On-line SVM learning via an incremental primal-dual technique. Optim. Methods Softw. 28(2): 256-275 (2013) - [c12]Zhen Zhang, Theodore B. Trafalis
Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies. Complex Adaptive Systems 2013: 466-471 - 2011
- [j26]Theodore B. Trafalis
Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting. Comput. Manag. Sci. 8(3): 281-297 (2011) - [j25]Maher Maalouf
Kernel logistic regression using truncated Newton method. Comput. Manag. Sci. 8(4): 415-428 (2011) - [j24]Maher Maalouf
Robust weighted kernel logistic regression in imbalanced and rare events data. Comput. Stat. Data Anal. 55(1): 168-183 (2011) - [j23]Maher Maalouf
Rare events and imbalanced datasets: an overview. Int. J. Data Min. Model. Manag. 3(4): 375-388 (2011) - [j22]Olutayo O. Oladunni, Theodore B. Trafalis
Single-phase fluid flow classification via learning models. Int. J. Gen. Syst. 40(05): 561-576 (2011) - 2010
- [j21]Theodore B. Trafalis
Support vector machine classification with noisy data: a second order cone programming approach. Int. J. Gen. Syst. 39(7): 757-781 (2010) - [j20]Indra Adrianto
The p-Centre machine for regression analysis. Optim. Methods Softw. 25(2): 171-183 (2010)
2000 – 2009
- 2009
- [j19]O. Erhun Kundakcioglu
Guest Editorial. Comput. Manag. Sci. 6(1): 1-3 (2009) - [j18]Olutayo O. Oladunni, Theodore B. Trafalis
A nonlinear multi-classification knowledge-based kernel machine. Comput. Manag. Sci. 6(1): 81-100 (2009) - [j17]Olutayo O. Oladunni, Theodore B. Trafalis
A regularized pairwise multi-classification knowledge-based machine and applications. Eur. J. Oper. Res. 195(3): 924-941 (2009) - [j16]Indra Adrianto
Support vector machines for spatiotemporal tornado prediction. Int. J. Gen. Syst. 38(7): 759-776 (2009) - [j15]Robin C. Gilbert, Theodore B. Trafalis
Quadratic programming formulations for classificationand regression. Optim. Methods Softw. 24(2): 175-185 (2009) - [r1]Theodore B. Trafalis, Suat Kasap:
Neural Networks for Combinatorial Optimization. Encyclopedia of Optimization 2009: 2547-2555 - 2008
- [j14]Abdulrahman Alenezi
Real-time prediction of order flowtimes using support vector regression. Comput. Oper. Res. 35(11): 3489-3503 (2008) - [j13]Huseyin Ince, Theodore B. Trafalis
Short term forecasting with support vector machines and application to stock price prediction. Int. J. Gen. Syst. 37(6): 677-687 (2008) - 2007
- [j12]Budi Santosa
Robust multiclass kernel-based classifiers. Comput. Optim. Appl. 38(2): 261-279 (2007) - [j11]Theodore B. Trafalis
Support vector regression with noisy data: a second order cone programming approach. Int. J. Gen. Syst. 36(2): 237-250 (2007) - [j10]Theodore B. Trafalis
Robust support vector machines for classification and computational issues. Optim. Methods Softw. 22(1): 187-198 (2007) - [c11]Olutayo O. Oladunni, Theodore B. Trafalis:
Regularized Knowledge-Based Kernel Machine. International Conference on Computational Science (1) 2007: 176-183 - [c10]Theodore B. Trafalis, Indra Adrianto, Michael B. Richman
Active Learning with Support Vector Machines for Tornado Prediction. International Conference on Computational Science (1) 2007: 1130-1137 - [c9]Olutayo O. Oladunni, Theodore B. Trafalis
Regularization Based Classification Models. IJCNN 2007: 25-30 - 2006
- [j9]Theodore B. Trafalis
Foreword. Comput. Manag. Sci. 3(2): 101-102 (2006) - [j8]Huseyin Ince, Theodore B. Trafalis
A hybrid model for exchange rate prediction. Decis. Support Syst. 42(2): 1054-1062 (2006) - [j7]Theodore B. Trafalis
Robust classification and regression using support vector machines. Eur. J. Oper. Res. 173(3): 893-909 (2006) - [j6]Huseyin Ince, Theodore B. Trafalis
Kernel methods for short-term portfolio management. Expert Syst. Appl. 30(3): 535-542 (2006) - [j5]Theodore B. Trafalis
Learning networks for tornado detection. Int. J. Gen. Syst. 35(1): 93-107 (2006) - [c8]Olutayo O. Oladunni, Theodore B. Trafalis
Knowledge-Based Multiclass Support Vector Machines Applied to Vertical Two-Phase Flow. International Conference on Computational Science (1) 2006: 188-195 - [c7]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: 506-513 - [c6]Olutayo O. Oladunni, Theodore B. Trafalis:
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. IJCNN 2006: 130-137 - 2005
- [j4]Theodore B. Trafalis
Learning networks in rainfall estimation. Comput. Manag. Sci. 2(3): 229-251 (2005) - 2004
- [c5]Theodore B. Trafalis, Budi Santosa, Michael B. Richman
Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction. International Conference on Computational Science 2004: 678-684 - 2003
- [c4]Theodore B. Trafalis, Huseyin Ince, Michael B. Richman
Tornado Detection with Support Vector Machines. International Conference on Computational Science 2003: 289-298 - 2002
- [j3]Theodore B. Trafalis, Suat Kasap:
A novel metaheuristics approach for continuous global optimization. J. Glob. Optim. 23(2): 171-190 (2002) - [j2]Theodore B. Trafalis
An Analytic Center Machine. Mach. Learn. 46(1-3): 203-223 (2002) - 2000
- [c3]Theodore B. Trafalis, Huseyin Ince:
Support Vector Machine for Regression and Applications to Financial Forecasting. IJCNN (6) 2000: 348-353
1990 – 1999
- 1999
- [p1]Theodore B. Trafalis, Suat Kasap:
Neural Networks Approaches for Combinatorial Optimization Problems. Handbook of Combinatorial Optimization 1999: 259-293 - 1997
- [c2]Theodore B. Trafalis, Nicolas P. Couellan
Training of supervised neural networks via a nonlinear primal-dual interior-point method. ICNN 1997: 2017-2021 - 1996
- [j1]Theodore B. Trafalis
Neural network training via an affine scaling quadratic optimization algorithm. Neural Networks 9(3): 475-481 (1996) - 1990
- [c1]Mark J. Kaiser, Thomas L. Morin, Theodore B. Trafalis:
Centers and Invariant Points of Convex Bodies. Applied Geometry And Discrete Mathematics 1990: 367-386
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: