A weighted support vector machine method for control chart pattern recognition. - Petros Xanthopoulos; Talayeh Razzaghi (Comput. Ind. Eng., 2014)

Fast Multilevel Support Vector Machines. - Talayeh Razzaghi; Ilya Safro (CoRR, 2014)

Fast imbalanced classification of healthcare data with missing values. - Talayeh Razzaghi; Oleg Roderick; Ilya Safro; Nick Marko (FUSION, 2015)

Scalable Multilevel Support Vector Machines. - Talayeh Razzaghi; Ilya Safro (ICCS, 2015)

Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values. - Talayeh Razzaghi; Oleg Roderick; Ilya Safro; Nicholas Marko (CoRR, 2016)

Algebraic multigrid support vector machines. - Ehsan Sadrfaridpour; Sandeep Jeereddy; Ken Kennedy; André Luckow; Talayeh Razzaghi; Ilya Safro (ESANN, 2017)

Weighted relaxed support vector machines. - Onur Seref; Talayeh Razzaghi; Petros Xanthopoulos (Ann. Oper. Res., 2017)

Engineering multilevel support vector machines. - Ehsan Sadrfaridpour; Talayeh Razzaghi; Ilya Safro (CoRR, 2017)

Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers. - Talayeh Razzaghi; Petros Xanthopoulos; Onur Seref (Optim. Lett., 2017)

Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods*. - Samuel Li; Talayeh Razzaghi (IEEE BigData, 2018)

Relaxed support vector regression. - Orestis P. Panagopoulos; Petros Xanthopoulos; Talayeh Razzaghi; Onur Seref (Ann. Oper. Res., 2019)

Predictive models for bariatric surgery risks with imbalanced medical datasets. - Talayeh Razzaghi; Ilya Safro; Joseph Ewing; Ehsan Sadrfaridpour; John D. Scott (Ann. Oper. Res., 2019)

Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods. - Samuel Li; Talayeh Razzaghi (CoRR, 2019)

Engineering fast multilevel support vector machines. - Ehsan Sadrfaridpour; Talayeh Razzaghi; Ilya Safro (Mach. Learn., 2019)

A cost-sensitive convolution neural network learning for control chart pattern recognition. - Donovan Fuqua; Talayeh Razzaghi (Expert Syst. Appl., 2020)

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. - Eric A. Stahlberg; Mohamed Abdel-Rahman; Boris Aguilar; Alireza Asadpoure; Robert A. Beckman; Lynn L. Borkon; Jeffrey N. Bryan; Colleen M. Cebulla; Young Hwan Chang; Ansu Chatterjee; Jun Deng; Sepideh Dolatshahi; et al. (Frontiers Digit. Health, 2022)

Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations. - Elaheh Jafarigol; Theodore B. Trafalis; Talayeh Razzaghi; Mona Zamankhani (CoRR, 2023)

Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering Techniques. - Paul Okafor; Zahed Siddique; Talayeh Razzaghi (IEEE Big Data, 2024)

An imbalance-aware BiLSTM for control chart patterns early detection. - Mohammad Derakhshi; Talayeh Razzaghi (Expert Syst. Appl., 2024)

Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts. - Rachel Bennett; Stephanie L. Pierce; Talayeh Razzaghi (IEEE Access, 2025)

Hierarchical Time Series Forecasting of COVID-19 Cases Using County-Level Clustering Data. - Sonaxy Mohanty; Airi Shimamura; Charles D. Nicholson; Andrés D. González; Talayeh Razzaghi (Oper. Res. Forum, 2025)