| Weaving computational grids: how analogous are they with electrical grids? M Chetty, R Buyya Computing in Science & Engineering 4 (4), 61-71, 2002 | 220 | 2002 |
| GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion NX Vinh, M Chetty, R Coppel, PP Wangikar Bioinformatics 27 (19), 2765-2766, 2011 | 85 | 2011 |
| Twin removal in genetic algorithms for protein structure prediction using low-resolution model MT Hoque, M Chetty, A Lewis, A Sattar IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (1), 234-245, 2009 | 82 | 2009 |
| Gene regulatory network modeling via global optimization of high-order dynamic bayesian network NX Vinh, M Chetty, R Coppel, PP Wangikar BMC bioinformatics 13 (1), 1-16, 2012 | 65 | 2012 |
| Protein folding prediction in 3D FCC HP lattice model using genetic algorithm MT Hoque, M Chetty, A Sattar 2007 IEEE Congress on Evolutionary Computation, 4138-4145, 2007 | 60 | 2007 |
| Extended HP model for protein structure prediction T Hoque, M Chetty, A Sattar Journal of Computational Biology 16 (1), 85-103, 2009 | 56 | 2009 |
| Clustered memetic algorithm with local heuristics for ab initio protein structure prediction MK Islam, M Chetty IEEE Transactions on Evolutionary Computation 17 (4), 558-576, 2012 | 49 | 2012 |
| Incorporating time-delays in S-System model for reverse engineering genetic networks AR Chowdhury, M Chetty, NX Vinh BMC bioinformatics 14 (1), 1-22, 2013 | 42 | 2013 |
| A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding MT Hoque, M Chetty, LS Dooley 2005 IEEE Congress on Evolutionary Computation 1, 259-266, 2005 | 38 | 2005 |
| Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review MT Hoque, M Chetty, A Sattar Biomedical data and applications, 317-342, 2009 | 37 | 2009 |
| Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data CH Ooi, M Chetty, SW Teng BMC bioinformatics 7 (1), 1-19, 2006 | 37 | 2006 |
| A hybrid genetic algorithm for 2D FCC hydrophobic-hydrophilic lattice model to predict protein folding MT Hoque, M Chetty, LS Dooley Australasian Joint Conference on Artificial Intelligence, 867-876, 2006 | 36 | 2006 |
| A guided genetic algorithm for protein folding prediction using 3D hydrophobic-hydrophilic model MT Hoque, M Chetty, LS Dooley 2006 IEEE International Conference on Evolutionary Computation, 2339-2346, 2006 | 34 | 2006 |
| Fuzzy model for gene regulatory network R Ram, M Chetty, TI Dix 2006 IEEE International Conference on Evolutionary Computation, 1450-1455, 2006 | 33 | 2006 |
| Novel memetic algorithm for protein structure prediction MK Islam, M Chetty Australasian Joint Conference on Artificial Intelligence, 412-421, 2009 | 32 | 2009 |
| Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets CH Ooi, M Chetty, SW Teng Data Mining and Knowledge Discovery 14 (3), 329-366, 2007 | 30 | 2007 |
| An improved method to infer gene regulatory network using s-system AR Chowdhury, M Chetty 2011 IEEE Congress of Evolutionary Computation (CEC), 1012-1019, 2011 | 28 | 2011 |
| Causal modeling of gene regulatory network R Ram, M Chetty, TI Dix 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and …, 2006 | 27 | 2006 |
| A markov-blanket-based model for gene regulatory network inference R Ram, M Chetty IEEE/ACM transactions on computational biology and bioinformatics 8 (2), 353-367, 2009 | 26 | 2009 |
| Combining segmental semi-Markov models with neural networks for protein secondary structure prediction NP Bidargaddi, M Chetty, J Kamruzzaman Neurocomputing 72 (16-18), 3943-3950, 2009 | 26 | 2009 |
Vinh NguyenDeep Learning @NVIDIAVerified email at nvidia.com
