A cost-sensitive convolution neural network learning for control chart pattern recognition von Fuqua, Donovan, Razzaghi, Talayeh

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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values von Razzaghi, Talayeh, Roderick, Oleg, Safro, Ilya, Marko, Nicholas

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A machine learning and clustering-based approach for county-level COVID-19 analysis von Nicholson, Charles, Beattie, Lex, Beattie, Matthew, Razzaghi, Talayeh, Chen, Sixia

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An imbalance-aware deep neural network for early prediction of preeclampsia von Bennett, Rachel, Mulla, Zuber D, Parikh, Pavan, Hauspurg, Alisse, Razzaghi, Talayeh

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An imbalance-aware BiLSTM for control chart patterns early detection von Derakhshi, Mohammad, Razzaghi, Talayeh

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Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation von Stahlberg, Eric A, Abdel-Rahman, Mohamed, Aguilar, Boris, Asadpoure, Alireza, Beckman, Robert A, Borkon, Lynn L, Bryan, Jeffrey N, Cebulla, Colleen M, Chang, Young Hwan, Chatterjee, Ansu, Deng, Jun, Dolatshahi, Sepideh, Gevaert, Olivier, Greenspan, Emily J, Hao, Wenrui, Hernandez-Boussard, Tina, Jackson, Pamela R, Kuijjer, Marieke, Lee, Adrian, Macklin, Paul, Madhavan, Subha, McCoy, Matthew D, Mohammad Mirzaei, Navid, Razzaghi, Talayeh, Rocha, Heber L, Shahriyari, Leili, Shmulevich, Ilya, Stover, Daniel G, Sun, Yi, Syeda-Mahmood, Tanveer, Wang, Jinhua, Wang, Qi, Zervantonakis, Ioannis

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A weighted support vector machine method for control chart pattern recognition von Xanthopoulos, Petros, Razzaghi, Talayeh

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Engineering fast multilevel support vector machines von Sadrfaridpour, Ehsan, Razzaghi, Talayeh, Safro, Ilya

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Predictive models for bariatric surgery risks with imbalanced medical datasets von Razzaghi, Talayeh, Safro, Ilya, Ewing, Joseph, Sadrfaridpour, Ehsan, Scott, John D.

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Predicting cesarean amongst obese gravidas - a machine learning approach von Parikh, Pavan, Kolli, Rajasri, Pierce, Stephanie L., Edwards, Rodney, Maxted, Marta, Razzaghi, Talayeh

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Weighted relaxed support vector machines von Şeref, Onur, Razzaghi, Talayeh, Xanthopoulos, Petros

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Scalable Multilevel Support Vector Machines von Razzaghi, Talayeh, Safro, Ilya

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Fueling the Future: A Comprehensive Analysis and Forecast of Fuel Consumption Trends in U.S. Electricity Generation von Bhuiyan, Md Monjur Hossain, Sakib, Ahmed Nazmus, Alawee, Syed Ishmam, Razzaghi, Talayeh

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Relaxed support vector regression von Panagopoulos, Orestis P., Xanthopoulos, Petros, Razzaghi, Talayeh, Şeref, Onur

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Forecasting the Fuel Consumption and Price for a Future Pandemic Outbreak: A Case Study in the USA under COVID-19 von Sakib, Ahmed Nazmus, Razzaghi, Talayeh, Bhuiyan, Md Monjur Hossain

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Predicting cesarean delivery among gravidas with morbid obesity–a machine learning approach von Kolli, Rajasri, Razzaghi, Talayeh, Pierce, Stephanie, Edwards, Rodney K., Maxted, Marta, Parikh, Pavan

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Machine learning approaches to modeling interdependent network restoration time von Ramineni, Ghaneshvar, Ghorbani-Renani, Nafiseh, Barker, Kash, González, Andrés D., Razzaghi, Talayeh, Radhakrishnan, Sridhar

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Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers von Razzaghi, Talayeh, Xanthopoulos, Petros, Şeref, Onur

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Predicting cesarean delivery among gravidas with morbid obesity–a machine learning approachAJOG Global Reports at a Glance von Rajasri Kolli, MS, Talayeh Razzaghi, PhD, Stephanie Pierce, MD, Rodney K. Edwards, MD, Marta Maxted, MD, MS, Pavan Parikh, MD, MS

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Sociodemographic Factors Associated with the Likelihood of Undergoing Bariatric Surgery in the United States von Scott, John, Zhang, Lu, Chen, Liwei, Shi, Lu, Truong, Khoa, Hu, Qingwei, Razzaghi, Talayeh, Ewing, Joseph, Hale, Allyson

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