| Performance enhancement of extreme learning machine for multi-category sparse data classification problems S Suresh, S Saraswathi, N Sundararajan Engineering Applications of Artificial Intelligence 23 (7), 1149-1157, 2010 | 191 | 2010 |
| ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented S Saraswathi, S Sundaram, N Sundararajan, M Zimmermann, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2), 452-463, 2010 | 133 | 2010 |
| Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier S Saraswathi, BS Mahanand, A Kloczkowski, S Suresh, N Sundararajan 2013 fourth international workshop on computational intelligence in medical …, 2013 | 47 | 2013 |
| The importance of slow motions for protein functional loops A Skliros, MT Zimmermann, D Chakraborty, S Saraswathi, AR Katebi, ... Physical biology 9 (1), 014001, 2012 | 34 | 2012 |
| A systematic review of childhood diabetes research in the Middle East region S Saraswathi, S Al-Khawaga, N Elkum, K Hussain Frontiers in endocrinology 10, 805, 2019 | 33 | 2019 |
| The clinical and genetic characteristics of permanent neonatal diabetes (PNDM) in the state of Qatar S Al‐Khawaga, I Mohammed, S Saraswathi, B Haris, R Hasnah, A Saeed, ... Molecular genetics & genomic medicine 7 (10), e00753, 2019 | 32 | 2019 |
| Somatostatin analogues for the treatment of hyperinsulinaemic hypoglycaemia B Haris, S Saraswathi, K Hussain Therapeutic Advances in Endocrinology and Metabolism 11, 2042018820965068, 2020 | 31 | 2020 |
| Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach S Rashid, S Saraswathi, A Kloczkowski, S Sundaram, A Kolinski BMC bioinformatics 17, 1-18, 2016 | 29 | 2016 |
| Clinical features, epidemiology, autoantibody status, HLA haplotypes and genetic mechanisms of type 1 diabetes mellitus among children in Qatar B Haris, I Ahmed, N Syed, H Almabrazi, S Saraswathi, S Al-Khawaga, ... Scientific reports 11 (1), 18887, 2021 | 25 | 2021 |
| Fast learning optimized prediction methodology (FLOPRED) for protein secondary structure prediction S Saraswathi, JL Fernández-Martínez, A Kolinski, RL Jernigan, ... Journal of molecular modeling 18, 4275-4289, 2012 | 20 | 2012 |
| Distinctive microbial signatures and gut-brain crosstalk in pediatric patients with coeliac disease and type 1 diabetes mellitus P Singh, A Rawat, B Al-Jarrah, S Saraswathi, H Gad, M Elawad, ... International Journal of Molecular Sciences 22 (4), 1511, 2021 | 17 | 2021 |
| Corneal nerve loss in children with type 1 diabetes mellitus without retinopathy or microalbuminuria H Gad, B Al‐Jarrah, S Saraswathi, IN Petropoulos, G Ponirakis, A Khan, ... Journal of diabetes investigation 11 (6), 1594-1601, 2020 | 17 | 2020 |
| In Silico Modeling of Human α2C-Adrenoreceptor Interaction with Filamin-2 M Pawlowski, S Saraswathi, HKB Motawea, MA Chotani, A Kloczkowski PLoS One 9 (8), e103099, 2014 | 16 | 2014 |
| A SLC16A1 mutation in an infant with ketoacidosis and neuroimaging assessment: expanding the clinical spectrum of MCT1 deficiency S Al-Khawaga, J AlRayahi, F Khan, S Saraswathi, R Hasnah, B Haris, ... Frontiers in Pediatrics 7, 299, 2019 | 14 | 2019 |
| Epidemiology, genetic landscape and classification of childhood diabetes mellitus in the State of Qatar B Haris, S Saraswathi, S Al‐Khawaga, R Hasnah, A Saeed, ... Journal of Diabetes Investigation 12 (12), 2141-2148, 2021 | 13 | 2021 |
| Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer V Sachnev, S Saraswathi, R Niaz, A Kloczkowski, S Suresh BMC bioinformatics 16, 1-12, 2015 | 13 | 2015 |
| Multi-region risk-sensitive cognitive ensembler for accurate detection of attention-Deficit/Hyperactivity disorder V Sachnev, S Suresh, N Sundararajan, BS Mahanand, MW Azeem, ... Cognitive Computation 11, 545-559, 2019 | 11 | 2019 |
| Machine learning based ad-click prediction system S Saraswathi, V Krishnamurthy, DVV Prasad, RK Tarun, S Abhinav, ... Int J Eng Adv Technol 8 (6), 3646-3648, 2019 | 10 | 2019 |
| Corneal confocal microscopy identifies a reduction in corneal keratocyte density and sub-basal nerves in children with type 1 diabetes mellitus H Gad, B Al-Jarrah, S Saraswathi, S Mohamed, A Kalteniece, ... British Journal of Ophthalmology 106 (10), 1368-1372, 2022 | 8 | 2022 |
| Distributions of amino acids suggest that certain residue types more effectively determine protein secondary structure S Saraswathi, JL Fernández-Martínez, A Koliński, RL Jernigan, ... Journal of molecular modeling 19, 4337-4348, 2013 | 8 | 2013 |
khalid HussainSidra MedicineZweryfikowany adres z sidra.org