| Stress analysis based on simultaneous heart rate variability and EEG monitoring ET Attar, V Balasubramanian, E Subasi, M Kaya IEEE Journal of Translational Engineering in Health and Medicine 9, 1-7, 2021 | 81 | 2021 |
| A new imputation method for incomplete binary data MM Subasi, E Subasi, M Anthony, PL Hammer Discrete applied mathematics 159 (10), 1040-1047, 2011 | 25 | 2011 |
| Discrete moment problems with distributions known to be unimodal E Subasi, M Subasi, A PRekopa Mathematical Inequalities and Applications 12 (3), 587-610, 2009 | 17 | 2009 |
| Sharp bounds for the probability of the union of events under unimodality condition M Subasi, E Subasi European Journal of Pure and Applied Mathematics 1 (1), 60-81, 2008 | 12 | 2008 |
| Using a similarity measure for credible classification M Subasi, E Subasi, M Anthony, PL Hammer Discrete applied mathematics 157 (5), 1104-1112, 2009 | 11* | 2009 |
| New bounds for the probability that at least k-out-of-n events occur with unimodal distributions MM Subasi, E Subasi, A Binmahfoudh, A Prékopa Discrete Applied Mathematics 226, 138-157, 2017 | 10 | 2017 |
| Logical analysis of multiclass data with relaxed patterns TC Bain, JF Avila-Herrera, E Subasi, MM Subasi Annals of Operations Research 287, 11-35, 2020 | 9 | 2020 |
| A Classification Model to Predict the Rate of Decline of Kidney Function E Subasi, MM Subasi, PL Hammer, J Roboz, M Lipkowitz | 9* | |
| Two-stage bond portfolio optimization and its application to Saudi Sukuk Market NA Alreshidi, M Mrad, E Subasi, MM Subasi Annals of Operations Research 288, 1-43, 2020 | 3 | 2020 |
| A Regression Model to Investigate the Performance of Black-Scholes using Macroeconomic Predictors TA Smith, E Subasi, AM Rattansi International Journal of Mathematical Trends and Technology 5, 108, 2014 | 3 | 2014 |
| On strong unimodality of multivariate discrete distributions E Subasi, MM Subasi, A Prékopa Discrete applied mathematics 157 (2), 234-246, 2009 | 3 | 2009 |
| Identifying clinical and genomic features associated with chronic kidney disease MM Moreno, TC Bain, MS Moreno, KC Carroll, ER Cunningham, Z Ashton, ... Frontiers in big Data 3, 528828, 2021 | 2 | 2021 |
| Evolutionary feature selection for machine learning N Rakala, MM Subasi, E Subasi SAS Global Forum Proceedings, 2020 | 2 | 2020 |
| New sufficient conditions for strong unimodality of multivariate discrete distributions MG Alharbi, E Subasi, MM Subasi Discrete Applied Mathematics 237, 1-25, 2018 | 2 | 2018 |
| Sharp bounds for expectations and probabilities in a distribution with given shape information E Subasi Dissertation Abstracts International 68 (02), 2007 | 2 | 2007 |
| Discrete moment problem with given shape of the distribution E Subasi, M Subasi, A Prékopa RUTCOR Research Report RRR 41-2005, 2005 | 2 | 2005 |
| Short-Term Risk Estimation and Treatment Planning for Cardiovascular Disease Patients after First Diagnostic Catheterizations with Machine Learning Models G Ye, PT Gamage, V Balasubramanian, JKJ Li, E Subasi, MM Subasi, ... Applied Sciences 13 (8), 5191, 2023 | 1 | 2023 |
| Sharp bounds for the probability that exactly k-out-of-n events occur with unimodal distributions E Subasi, MM Subasi, A Binmahfoudh, A Prékopa Annals of Operations Research, 1-25, 2018 | 1 | 2018 |
| Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease. Front. Big Data 3: 528828. doi: 10.3389/fdata. 2020. 528828'Chronic Kidney disease … MM Moreno, TC Bain, MS Moreno, KC Carroll, ER Cunningham, Z Ashton, ... Internet of Medical Things and Computational Intelligence in Healthcare 4.0 3, 6, 2024 | | 2024 |
| The value of shape constraints in discrete moment problems: a review and extension T Alharbi, A Ninh, E Subasi, MM Subasi Annals of Operations Research 318 (1), 1-31, 2022 | | 2022 |
Munevver Mine SubasiAssociate Professor, Florida Institute of TechnologyVerified email at fit.edu
