Stebėti
Madhu Chetty
Madhu Chetty
Professor of Information Technology, Federation University Australia
Patvirtintas el. paštas federation.edu.au - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Weaving computational grids: how analogous are they with electrical grids?
M Chetty, R Buyya
Computing in Science & Engineering 4 (4), 61-71, 2002
2312002
Factors affecting the organizational adoption of blockchain technology: Extending the technology–organization–environment (TOE) framework in the Australian context
S Malik, M Chadhar, S Vatanasakdakul, M Chetty
Sustainability 13 (16), 9404, 2021
2102021
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
1012011
Gene regulatory network modeling via global optimization of high-order dynamic bayesian network
N Xuan Vinh, M Chetty, R Coppel, PP Wangikar
BMC bioinformatics 13, 1-16, 2012
862012
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
822009
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
702007
Extended HP model for protein structure prediction
T Hoque, M Chetty, A Sattar
Journal of Computational Biology 16 (1), 85-103, 2009
642009
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
582012
Incorporating time-delays in S-System model for reverse engineering genetic networks
AR Chowdhury, M Chetty, NX Vinh
BMC bioinformatics 14, 1-22, 2013
482013
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
392009
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, 1-19, 2006
392006
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
382005
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
372006
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
362009
Fuzzy model for gene regulatory network
R Ram, M Chetty, TI Dix
2006 IEEE International Conference on Evolutionary Computation, 1450-1455, 2006
362006
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
362006
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
352011
Stochastic S-system modeling of gene regulatory network
AR Chowdhury, M Chetty, R Evans
Cognitive Neurodynamics 9, 535-547, 2015
332015
Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets
CH Ooi, M Chetty, SW Teng
Data Mining and Knowledge Discovery 14, 329-366, 2007
332007
Polynomial time algorithm for learning globally optimal dynamic Bayesian network
NX Vinh, M Chetty, R Coppel, PP Wangikar
Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011
322011
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