Saras Saraswathi
TitleCited byYear
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
1362010
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 (TCBB) 8 …, 2011
842011
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
212012
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 (9), 4275-4289, 2012
142012
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
132013
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), 362, 2016
92016
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
92014
Particle swarm optimization: a powerful family of stochastic optimizers. Analysis, design and application to inverse modelling
JL Fernández-Martínez, E García-Gonzalo, S Saraswathi, R Jernigan, ...
International Conference in Swarm Intelligence, 1-8, 2011
72011
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), 166, 2015
62015
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 (10), 4337-4348, 2013
62013
Immunological implications of a structural analysis of two different porcine IL1β proteins expressed in macrophages and embryos
AR Katebi, P Gniewek, M Zimmermann, S Saraswathi, Z Gong, CK Tuggle, ...
Proceedings of the First ACM International Conference on Bioinformatics and …, 2010
42010
Protein secondary structure prediction using a fully complex-valued relaxation network
B Shamima, R Savitha, S Suresh, S Saraswathi
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
32013
PLoS Computational Biology conference postcards from ISMB 2010
G Chalancon, M Kosloff, HU Osmanbeyoglu, S Saraswathi
PLoS computational biology 6 (11), e1002000, 2010
12010
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, 1-15, 2019
2019
Sulf2 is associated with podocyte pathophysiology
S Agrawal, S Saraswathi, A Webb, ME García Gonzalo, M Chanley, ...
Pediatric Nephrology, 2016
2016
In Silico Modeling of Human o2C-Adrenoreceptor Interaction with Filamin
M Pawlowski, S Saraswathi, HKB Motawea, MA Chotani, A Kloczkowski
2014
new Methods to Improve Protein Structure Prediction and Refinement: 337
E Faraggi, P Gniewek, M Pawlowski, D Gront, S Saraswathi, RL Jernigan, ...
Protein Science 22, 133, 2013
2013
APPENDIX C. THE IMPORTANCE OF SLOW MOTIONS FOR PROTEIN FUNCTIONAL LOOPS
A Skliros, MT Zimmermann, D Chakraborty, S Saraswathi, AR Katebi, ...
Building and simulating protein machines 1001, 184, 2013
2013
APPENDIX B. IMMUNOLOGICAL IMPLICATION OF STRUCTURAL ANALYSIS OF PORCINE IL1β PROTEINS EXPRESSED IN MACROPHAGES AND EMBRYOS
AR Katebi, P Gniewek, M Zimmermann, S Saraswathi, Z Gong, CK Tuggle, ...
Building and simulating protein machines 1001, 168, 2013
2013
Particle swarm optimization
JL Fernández-Martínez, E García-Gonzalo, S Saraswathi, R Jernigan, ...
2nd International Conference on Swarm Intelligence, ICSI 2011, 2011
2011
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Articles 1–20