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Talayeh Razzaghi
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Year
A weighted support vector machine method for control chart pattern recognition
P Xanthopoulos, T Razzaghi
Computers & Industrial Engineering 70, 134-149, 2014
1122014
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
572016
A cost-sensitive convolution neural network learning for control chart pattern recognition
D Fuqua, T Razzaghi
Expert Systems with Applications 150, 113275, 2020
392020
Engineering fast multilevel support vector machines
E Sadrfaridpour, T Razzaghi, I Safro
Machine Learning, arXiv preprint arXiv:1707.07657, 2019
312019
Predictive models for bariatric surgery risks with imbalanced medical datasets
JS Talayeh Razzaghi, Ilya Safro, Joseph Ewing, Ehsan Sadrfaridpour
Annals of Operations Research, 2019
25*2019
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
182015
Scalable multilevel support vector machines
T Razzaghi, I Safro
Procedia Computer Science 51, 2683-2687, 2015
182015
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
17*2017
Weighted relaxed support vector machines
O Şeref, T Razzaghi, P Xanthopoulos
Annals of Operations Research 249 (1), 235-271, 2017
152017
Relaxed support vector regression
OP Panagopoulos, P Xanthopoulos, T Razzaghi, O Şeref
Annals of Operations Research 276 (1), 191-210, 2019
112019
Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers
T Razzaghi, P Xanthopoulos, O Şeref
Optimization Letters 11 (5), 915-928, 2017
102017
Cost-sensitive learning-based methods for imbalanced classification problems with applications
T Razzaghi
42014
Engineering multilevel support vector machines
E Sadrfaridpour, T Razzaghi, I Safro
arXiv preprint arXiv:1707.07657, 2017
32017
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
22018
Fast multilevel support vector machines
T Razzaghi, I Safro
arXiv preprint arXiv:1410.3348, 2014
22014
Imbalanced Classification: Methods and Applications in Business Analytics
A Razzaghi, Talayeh, Xanthopoulos, Petros, Otero
Encyclopedia of Business Analytics and Optimization, 2014
1*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
12012
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
2022
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
2022
Predicting cesarean amongst obese gravidas-a machine learning approach
P Parikh, R Kolli, SL Pierce, R Edwards, M Maxted, T Razzaghi
American Journal of Obstetrics & Gynecology 226 (1), S274-S275, 2022
2022
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Articles 1–20