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
Structured feature selection using coordinate descent optimization
M Ghalwash, XH Cao, I Stojkovic, Z Obradovic
BMC Bioinformatics 17 (158), 2016
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
Uncertainty analysis in protein disorder prediction
MF Ghalwash, AK Dunker, Z Obradović
Molecular BioSystems 8 (1), 381-391, 2012
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
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
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
Effectiveness of Multiple Blood-Cleansing Interventions in Sepsis, Characterized in Rats
I Stojkovic, M Ghalwash, XH Cao, Z Obradovic
Scientific Reports 6, 2016
Joint Learning of Representation and Structure for Sparse Regression on Graphs
C Han, S Zhang, M Ghalwash, S Vucetic, Z Obradovic
Proc. 16th SIAM International Conference of Data Mining (SDM 2016), 2016
False Alarm Suppression in Early Prediction of Cardiac Arrhythmia
S Roychoudhury, M Ghalwash, Z Obradovic
The 15th IEEE International Conference on BioInformatics and BioEngineering, 2015
A Data-Driven Model for Optimizing Therapy Duration for Septic Patients
M Ghalwash, Z Obradovic
Proc. 14th SIAM Intl. Conf. Data Mining, 3rd Workshop on Data Mining for …, 2014
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results
M Ghalwash, Y Li, P Zhang, J Hu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
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