| * | 2009 |
|---|
| 35 | EE | Ramesh Ram,
Madhu Chetty:
MCMC Based Bayesian Inference for Modeling Gene Networks.
PRIB 2009: 293-306 |
| 34 | EE | Girija Chetty,
Madhu Chetty:
Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models.
PRIB 2009: 46-55 |
| 2008 |
|---|
| 33 | | 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 |
| 32 | EE | Ramesh Ram,
Madhu Chetty,
Dieter Bulach:
Constraint Minimization for Efficient Modeling of Gene Regulatory Network.
PRIB 2008: 201-213 |
| 31 | EE | Ramesh Ram,
Madhu Chetty:
Generating Synthetic Gene Regulatory Networks.
PRIB 2008: 237-249 |
| 30 | EE | 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 |
| 29 | EE | Tamjidul Hoque,
Madhu Chetty,
Andrew Lewis,
Abdul Sattar:
DFS Based Partial Pathways in GA for Protein Structure Prediction.
PRIB 2008: 41-53 |
| 28 | EE | 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 |
|---|
| 27 | EE | Ramesh Ram,
Madhu Chetty:
Learning Structure of a Gene Regulatory Network.
ACIS-ICIS 2007: 525-531 |
| 26 | EE | Ramesh Ram,
Madhu Chetty:
A guided genetic algorithm for learning gene regulatory networks.
IEEE Congress on Evolutionary Computation 2007: 3862-3869 |
| 25 | EE | 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 |
| 24 | EE | Ramesh Ram,
Madhu Chetty:
A Framework for Path Analysis in Gene Regulatory Networks.
PRIB 2007: 264-273 |
| 23 | EE | Tamjidul Hoque,
Madhu Chetty,
Laurence S. Dooley:
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction.
PRIB 2007: 84-97 |
| 22 | EE | Chia Huey Ooi,
Madhu Chetty,
Shyh Wei Teng:
Characteristics of predictor sets found using differential prioritization.
Algorithms for Molecular Biology 2: (2007) |
| 21 | EE | 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 |
|---|
| 20 | EE | 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 |
| 19 | EE | Niranjan P. Bidargaddi,
Madhu Chetty,
Joarder Kamruzzaman:
Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction.
CIBCB 2006: 1-8 |
| 18 | EE | Ramesh Ram,
Madhu Chetty,
Trevor I. Dix:
Causal Modeling of Gene Regulatory Network.
CIBCB 2006: 1-8 |
| 17 | EE | 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 |
| 16 | EE | 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 |
| 15 | EE | 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 |
| 14 | EE | 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 | EE | 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 | EE | Niranjan P. Bidargaddi,
Madhu Chetty,
Joarder Kamruzzaman:
A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins.
EvoWorkshops 2005: 11-21 |
| 9 | EE | Chia Huey Ooi,
Madhu Chetty:
A Comparative Study of Two Novel Predictor Set Scoring Methods.
IDEAL 2005: 432-439 |
| 8 | EE | Tamjidul Hoque,
Madhu Chetty,
Laurence Dooley:
Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model.
ISBMDA 2005: 346-354 |
| 7 | EE | Niranjan P. Bidargaddi,
Madhu Chetty,
Joarder Kamruzzaman:
Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences.
ISBMDA 2005: 355-366 |
| 6 | EE | 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 | EE | Chia Huey Ooi,
Madhu Chetty:
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data.
PAKDD 2005: 578-587 |
| 2004 |
|---|
| 4 | EE | Tamjidul Hoque,
Madhu Chetty,
Laurence Dooley:
An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model.
HIS 2004: 285-290 |
| 3 | EE | 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 | EE | Madhu Chetty:
Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design.
AISC 2002: 12-25 |
