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Madhu Chetty

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2008
32 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
31EERamesh Ram, Madhu Chetty, Dieter Bulach: Constraint Minimization for Efficient Modeling of Gene Regulatory Network. PRIB 2008: 201-213
30EERamesh Ram, Madhu Chetty: Generating Synthetic Gene Regulatory Networks. PRIB 2008: 237-249
29EEChia 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
28EETamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar: DFS Based Partial Pathways in GA for Protein Structure Prediction. PRIB 2008: 41-53
27EENiranjan 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
26EERamesh Ram, Madhu Chetty: Learning Structure of a Gene Regulatory Network. ACIS-ICIS 2007: 525-531
25EERamesh Ram, Madhu Chetty: A guided genetic algorithm for learning gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 3862-3869
24EETamjidul 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
23EERamesh Ram, Madhu Chetty: A Framework for Path Analysis in Gene Regulatory Networks. PRIB 2007: 264-273
22EETamjidul Hoque, Madhu Chetty, Laurence S. Dooley: Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. PRIB 2007: 84-97
21EEChia 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
20EETamjidul 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
19EENiranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. CIBCB 2006: 1-8
18EERamesh Ram, Madhu Chetty, Trevor I. Dix: Causal Modeling of Gene Regulatory Network. CIBCB 2006: 1-8
17EETamjidul 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
16EEChia 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
15EEChia 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
14EENiranjan 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
11EETamjidul 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
10EENiranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins. EvoWorkshops 2005: 11-21
9EEChia Huey Ooi, Madhu Chetty: A Comparative Study of Two Novel Predictor Set Scoring Methods. IDEAL 2005: 432-439
8EETamjidul Hoque, Madhu Chetty, Laurence Dooley: Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. ISBMDA 2005: 346-354
7EENiranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman: Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences. ISBMDA 2005: 355-366
6EEChia Huey Ooi, Madhu Chetty, Shyhwei Teng: Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data. ISBMDA 2005: 367-378
5EEChia Huey Ooi, Madhu Chetty: Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. PAKDD 2005: 578-587
2004
4EETamjidul Hoque, Madhu Chetty, Laurence Dooley: An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. HIS 2004: 285-290
3EETamjidul 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
1EEMadhu Chetty: Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design. AISC 2002: 12-25

Coauthor Index

1Shandar Ahmad [32]
2Niranjan P. Bidargaddi [2] [7] [10] [12] [13] [14] [19] [27]
3Dieter Bulach [31]
4Trevor I. Dix [18]
5Laurence Dooley (Laurence S. Dooley) [3] [4] [8] [11] [17] [20] [22]
6Tamjidul Hoque [3] [4] [8] [11] [17] [20] [22] [24] [28]
7Joarder Kamruzzaman [7] [10] [12] [13] [14] [19] [27]
8Andrew Lewis [28]
9Alioune Ngom [32]
10Chia Huey Ooi [5] [6] [9] [15] [16] [21] [29]
11Ramesh Ram [18] [23] [25] [26] [30] [31]
12Abdul Sattar [24] [28]
13Shyh Wei Teng [15] [16] [21] [29]
14Shyhwei Teng [6]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)