Mohamed Ghalwash
Mohamed Ghalwash
Research Scientist - IBM Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
Early classification of multivariate temporal observations by extraction of interpretable shapelets
MF Ghalwash, Z Obradovic
BMC bioinformatics 13 (1), 195, 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
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
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
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
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
Structured feature selection using coordinate descent optimization
M Ghalwash, XH Cao, I Stojkovic, Z Obradovic
BMC Bioinformatics 17 (158), 2016
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
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
Cost Sensitive Time-series Classification
S Roychoudhury, M Ghalwash, Z Obradovic
The European Conference on Machine Learning & Principles and Practice of …, 2017
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
Uncertainty analysis in protein disorder prediction
MF Ghalwash, AK Dunker, Z Obradović
Molecular BioSystems 8 (1), 381-391, 2012
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
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
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
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
R Li, Z Shahn, J Li, M Lu, P Chakraborty, D Sow, M Ghalwash, ...
arXiv preprint arXiv:2003.10551, 2020
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
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