Madhu Chetty

	2011
57		Nizamul Morshed, Madhu Chetty: Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory. Australasian Conference on Artificial Intelligence 2011: 102-111
56		Md. Kamrul Islam, Madhu Chetty, Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel: A Memetic Approach to Protein Structure Prediction in Triangular Lattices. ICONIP (1) 2011: 625-635
55		Md. Kamrul Islam, Madhu Chetty, Manzur Murshed: Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction. ICONIP (1) 2011: 636-645
54		Nguyen Xuan Vinh, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar: Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering. ICONIP (1) 2011: 97-106
53		Nizamul Morshed, Madhu Chetty, Nguyen Xuan Vinh: Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique. ICONIP (2) 2011: 248-257
52		Long Tang, Madhu Chetty, Suryani Lim: Multi Agent Carbon Trading Incorporating Human Traits and Game Theory. ICONIP (3) 2011: 36-46
51		Nguyen Xuan Vinh, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar: Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network. ICONIP (3) 2011: 719-729
50		Md. Kamrul Islam, Madhu Chetty, Manzur Murshed: Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation 2011: 1003-1011
49		Ahsan Raja Chowdhury, Madhu Chetty: An improved method to infer Gene Regulatory Network using S-System. IEEE Congress on Evolutionary Computation 2011: 1012-1019
48		Nizamul Morshed, Madhu Chetty: Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. IEEE Congress on Evolutionary Computation 2011: 1840-1847
47		Nguyen Xuan Vinh, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar: GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Bioinformatics 27(19): 2765-2766 (2011)
46		Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar: Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model. IEEE/ACM Trans. Comput. Biology Bioinform. 8(1): 234-245 (2011)
45		Ramesh Ram, Madhu Chetty: A Markov-Blanket-Based Model for Gene Regulatory Network Inference. IEEE/ACM Trans. Comput. Biology Bioinform. 8(2): 353-367 (2011)
	2010
44		Santi S. Chanthaphavong, Madhu Chetty: Binary-Organoid Particle Swarm optimisation for inferring genetic networks. IEEE Congress on Evolutionary Computation 2010: 1-10
43		Md. Kamrul Islam, Madhu Chetty: Clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation 2010: 1-8
42		Madhu Chetty, Alioune Ngom, Elena Marchiori: Computational Intelligence in Bioinformatics. Neurocomputing 73(13-15): 2291-2292 (2010)
41		Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery: DFS-generated pathways in GA crossover for protein structure prediction. Neurocomputing 73(13-15): 2308-2316 (2010)
40		Shandar Ahmad, Madhu Chetty, Bertil Schmidt: Pattern Recognition in Bioinformatics. Pattern Recognition Letters 31(14): 2071-2072 (2010)
	2009
39		Md. Kamrul Islam, Madhu Chetty: Novel Memetic Algorithm for Protein Structure Prediction. Australasian Conference on Artificial Intelligence 2009: 412-421
38		Ramesh Ram, Madhu Chetty: MCMC Based Bayesian Inference for Modeling Gene Networks. PRIB 2009: 293-306
37		Girija Chetty, Madhu Chetty: Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models. PRIB 2009: 46-55
36		Tamjidul Hoque, Madhu Chetty, Abdul Sattar: Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review. Biomedical Data and Applications 2009: 317-342
35		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. Neurocomputing 72(16-18): 3943-3950 (2009)
	2008
34		Madhu Chetty, Alioune Ngom, Shandar Ahmad: Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings Springer 2008
33		Ramesh Ram, Madhu Chetty, Dieter Bulach: Constraint Minimization for Efficient Modeling of Gene Regulatory Network. PRIB 2008: 201-213
32		Ramesh Ram, Madhu Chetty: Generating Synthetic Gene Regulatory Networks. PRIB 2008: 237-249
31		Chia Huey Ooi, Shyh Wei Teng, Madhu Chetty: A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets. PRIB 2008: 311-322
30		Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar: DFS Based Partial Pathways in GA for Protein Structure Prediction. PRIB 2008: 41-53
29		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment. Genomics, Proteomics & Bioinformatics 6(2): 98-110 (2008)
	2007
28		Ramesh Ram, Madhu Chetty: Learning Structure of a Gene Regulatory Network. ACIS-ICIS 2007: 525-531
27		Ramesh Ram, Madhu Chetty: A guided genetic algorithm for learning gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 3862-3869
26		Tamjidul Hoque, Madhu Chetty, Abdul Sattar: Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 4138-4145
25		Ramesh Ram, Madhu Chetty: A Framework for Path Analysis in Gene Regulatory Networks. PRIB 2007: 264-273
24		Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley: Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. PRIB 2007: 84-97
23		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: Characteristics of predictor sets found using differential prioritization. Algorithms for Molecular Biology 2: (2007)
22		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets. Data Min. Knowl. Discov. 14(3): 329-366 (2007)
	2006
21		Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley: A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding. Australian Conference on Artificial Intelligence 2006: 867-876
20		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. CIBCB 2006: 1-8
19		Ramesh Ram, Madhu Chetty, Trevor I. Dix: Causal Modeling of Gene Regulatory Network. CIBCB 2006: 1-8
18		Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley: Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. CIBCB 2006: 1-8
17		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets. Industrial Conference on Data Mining 2006: 10-23
16		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. PRIB 2006: 60-70
15		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data. BMC Bioinformatics 7: 320 (2006)
14		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis. Journal of Intelligent and Fuzzy Systems 17(6): 541-556 (2006)
	2005
13		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis. CIBCB 2005: 427-434
12		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction. CIBCB 2005: 498-505
11		Tamjidul Hoque, Madhu Chetty, Laurence Dooley: A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. Congress on Evolutionary Computation 2005: 259-266
10		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins. EvoWorkshops 2005: 11-21
9		Chia Huey Ooi, Madhu Chetty: A Comparative Study of Two Novel Predictor Set Scoring Methods. IDEAL 2005: 432-439
8		Tamjidul Hoque, Madhu Chetty, Laurence Dooley: Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. ISBMDA 2005: 346-354
7		Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences. ISBMDA 2005: 355-366
6		Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng: Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data. ISBMDA 2005: 367-378
5		Chia Huey Ooi, Madhu Chetty: Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. PAKDD 2005: 578-587
	2004
4		Tamjidul Hoque, Madhu Chetty, Laurence Dooley: An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. HIS 2004: 285-290
3		Tamjidul Hoque, Madhu Chetty, Laurence Dooley: Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model. HIS 2004: 291-296
	2003
2		Niranjan P. Bidargaddi, Madhu Chetty: An Incremental Constructive Layer Algorithm for Controller Design. HIS 2003: 58-65
	2002
1		Madhu Chetty: Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design. AISC 2002: 12-25

Coauthor Index

1	Shandar Ahmad	[34] [40]
2	Vicky M. Avery	[41]
3	Niranjan P. Bidargaddi	[2] [7] [10] [12] [13] [14] [20] [29] [35]
4	Dieter Bulach	[33]
5	Santi S. Chanthaphavong	[44]
6	Girija Chetty	[37]
7	Ahsan Raja Chowdhury	[49]
8	Ross L. Coppel	[47] [51] [54]
9	Trevor I. Dix	[19]
10	Laurence Dooley (Laurence S. Dooley)	[3] [4] [8] [11] [18] [21] [24]
11	Tamjidul Hoque	[3] [4] [8] [11] [18] [21] [24] [26] [30] [36] [41] [46]
12	Kamrul Islam (Md. Kamrul Islam)	[39] [43] [50] [55] [56]
13	Joarder Kamruzzaman	[7] [10] [12] [13] [14] [20] [29] [35]
14	Andrew Lewis	[30] [41] [46]
15	Suryani Lim	[52]
16	Elena Marchiori	[42]
17	Nizamul Morshed	[48] [53] [57]
18	Manzur Murshed	[50] [55]
19	Alioune Ngom	[34] [42]
20	Chia Huey Ooi	[5] [6] [9] [15] [16] [17] [22] [23] [31]
21	Ramesh Ram	[19] [25] [27] [28] [32] [33] [38] [45]
22	Abdul Sattar	[26] [30] [36] [41] [46]
23	Bertil Schmidt	[40]
24	Kathleen Steinhöfel	[56]
25	Long Tang	[52]
26	Shyh Wei Teng	[6] [15] [16] [17] [22] [23] [31]
27	Abu Zafer M. Dayem Ullah	[56]
28	Nguyen Xuan Vinh	[47] [51] [53] [54]
29	Pramod P. Wangikar	[47] [51] [54]

Colors in the list of coauthors

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