| D2P2: database of disordered protein predictions ME Oates, P Romero, T Ishida, M Ghalwash, MJ Mizianty, B Xue, ... Nucleic Acids Research 41 (D1), D508-D516, 2012 | 730 | 2012 |
| Minimum redundancy maximum relevance feature selection approach for temporal gene expression data M Radovic, M Ghalwash, N Filipovic, Z Obradovic BMC Bioinformatics 18 (1), 9, 2017 | 458 | 2017 |
| DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease? N Turan*, MF Ghalwash*, S Katari, C Coutifaris, Z Obradovic, C Sapienza BMC Medical Genomics 5 (1), 10, 2012 | 140 | 2012 |
| Early classification of multivariate temporal observations by extraction of interpretable shapelets MF Ghalwash, Z Obradovic BMC bioinformatics 13 (1), 195, 2012 | 137 | 2012 |
| Extraction of Interpretable Multivariate Patterns for Early Diagnostics MF Ghalwash, V Radosavljevic, Z Obradovic Data Mining (ICDM), 2013 IEEE 13th International Conference on, 201-210, 2013 | 101 | 2013 |
| Utilizing Temporal Patterns for Estimating Uncertainty in Interpretable Early Decision Making MF Ghalwash, V Radosavljevic, Z Obradovic Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 80 | 2014 |
| Islet autoimmunity and HLA markers of presymptomatic and clinical type 1 diabetes: joint analyses of prospective cohort studies in Finland, Germany, Sweden, and the US V Anand, Y Li, B Liu, M Ghalwash, E Koski, K Ng, JL Dunne, J Jönsson, ... Diabetes Care 44 (10), 2269-2276, 2021 | 62 | 2021 |
| Early classification of multivariate time series using a hybrid HMM/SVM model MF Ghalwash, D Ramljak, Z Obradović 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012 | 59 | 2012 |
| Two-age islet-autoantibody screening for childhood type 1 diabetes: a prospective cohort study M Ghalwash, JL Dunne, M Lundgren, M Rewers, AG Ziegler, V Anand, ... The Lancet Diabetes & Endocrinology 10 (8), 589-596, 2022 | 36 | 2022 |
| G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime R Li, S Hu, M Lu, Y Utsumi, P Chakraborty, DM Sow, P Madan, J Li, ... Machine Learning for Health, 282-299, 2021 | 35 | 2021 |
| Human-centered explainability for life sciences, healthcare, and medical informatics S Dey, P Chakraborty, BC Kwon, A Dhurandhar, M Ghalwash, FJS Saiz, ... Patterns 3 (5), 100493, 2022 | 34 | 2022 |
| Structured feature selection using coordinate descent optimization M Ghalwash, XH Cao, I Stojkovic, Z Obradovic BMC Bioinformatics 17 (158), 2016 | 33 | 2016 |
| An Ontology for Fairness Metrics JS Franklin, K Bhanot, M Ghalwash, KP Bennett, J McCusker, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 265-275, 2022 | 28 | 2022 |
| Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster J Glass, M Ghalwash, M Vukicevic, Z Obradovic The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016 | 28 | 2016 |
| Cost Sensitive Time-series Classification S Roychoudhury, M Ghalwash, Z Obradovic The European Conference on Machine Learning & Principles and Practice of …, 2017 | 25 | 2017 |
| Uncertainty analysis in protein disorder prediction MF Ghalwash, AK Dunker, Z Obradović Molecular BioSystems 8 (1), 381-391, 2012 | 20 | 2012 |
| Patient–specific early classification of multivariate observations MF Ghalwash, D Ramljak, Z Obradović International Journal of Data Mining and Bioinformatics 11 (4), 392-411, 2015 | 18 | 2015 |
| Early diagnosis and its benefits in sepsis blood purification treatment M Ghalwash, V Radosavljevic, Z Obradovic 2013 IEEE International Conference on Healthcare Informatics, 523-528, 2013 | 16 | 2013 |
| Islet autoantibody screening in at-risk adolescents to predict type 1 diabetes until young adulthood: a prospective cohort study M Ghalwash, V Anand, O Lou, F Martin, M Rewers, AG Ziegler, J Toppari, ... The Lancet Child & Adolescent Health 7 (4), 261-268, 2023 | 15 | 2023 |
| Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes S Chari, P Acharya, DM Gruen, O Zhang, EK Eyigoz, M Ghalwash, ... Artificial Intelligence in Medicine 137, 102498, 2023 | 15 | 2023 |
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerified email at temple.edu
