A weighted support vector machine method for control chart pattern recognition P Xanthopoulos, T Razzaghi Computers & Industrial Engineering 70, 134-149, 2014 | 133 | 2014 |
Multilevel weighted support vector machine for classification on healthcare data with missing values T Razzaghi, O Roderick, I Safro, N Marko PloS one 11 (5), e0155119, 2016 | 88 | 2016 |
A cost-sensitive convolution neural network learning for control chart pattern recognition D Fuqua, T Razzaghi Expert Systems with Applications 150, 113275, 2020 | 80 | 2020 |
Predictive models for bariatric surgery risks with imbalanced medical datasets JS Talayeh Razzaghi, Ilya Safro, Joseph Ewing, Ehsan Sadrfaridpour Annals of Operations Research, 2019 | 44* | 2019 |
Engineering fast multilevel support vector machines E Sadrfaridpour, T Razzaghi, I Safro Machine Learning, arXiv preprint arXiv:1707.07657, 2019 | 37 | 2019 |
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation EA Stahlberg, M Abdel-Rahman, B Aguilar, A Asadpoure, RA Beckman, ... Frontiers in Digital Health 4, 1007784, 2022 | 25 | 2022 |
Weighted relaxed support vector machines O Şeref, T Razzaghi, P Xanthopoulos Annals of Operations Research 249, 235-271, 2017 | 22 | 2017 |
Scalable multilevel support vector machines T Razzaghi, I Safro Procedia Computer Science 51, 2683-2687, 2015 | 21 | 2015 |
Fast imbalanced classification of healthcare data with missing values T Razzaghi, O Roderick, I Safro, N Marko 2015 18th International Conference on Information Fusion (Fusion), 774-781, 2015 | 20 | 2015 |
Algebraic multigrid support vector machines I Sadrfaridpour, Ehsan and Jeereddy, Sandeep and Kennedy, Ken and Luckow ... ESANN, European Symposium on Artificial Neural Networks, Computational …, 2017 | 19* | 2017 |
Relaxed support vector regression OP Panagopoulos, P Xanthopoulos, T Razzaghi, O Şeref Annals of Operations Research 276, 191-210, 2019 | 16 | 2019 |
A machine learning and clustering-based approach for county-level COVID-19 analysis C Nicholson, L Beattie, M Beattie, T Razzaghi, S Chen Plos one 17 (4), e0267558, 2022 | 15 | 2022 |
Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers T Razzaghi, P Xanthopoulos, O Şeref Optimization Letters 11, 915-928, 2017 | 11 | 2017 |
An imbalance-aware deep neural network for early prediction of preeclampsia R Bennett, ZD Mulla, P Parikh, A Hauspurg, T Razzaghi Plos one 17 (4), e0266042, 2022 | 10 | 2022 |
Cost-sensitive learning-based methods for imbalanced classification problems with applications T Razzaghi | 4 | 2014 |
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods* S Li, T Razzaghi 2018 IEEE International Conference on Big Data (Big Data), 2554-2558, 2018 | 3 | 2018 |
Engineering multilevel support vector machines E Sadrfaridpour, T Razzaghi, I Safro arXiv preprint arXiv:1707.07657, 2017 | 3 | 2017 |
Fast multilevel support vector machines T Razzaghi, I Safro arXiv preprint arXiv:1410.3348, 2014 | 2 | 2014 |
Imbalanced Classification: Methods and Applications in Business Analytics A Razzaghi, Talayeh, Xanthopoulos, Petros, Otero Encyclopedia of Business Analytics and Optimization, 2014 | 2* | 2014 |
THE OPTIMAL ENERGY CARRIERS'SUBSTITUTES IN THERMAL POWER PLANTS: A FUZZY LINEAR PROGRAMMING MODEL T Razzaghi, F Kianfar INTERNATIONAL JOURNAL OF ENGINEERING 25 (1), 55-66, 2012 | 2 | 2012 |