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Madhu Chetty: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Madhu Chetty
    Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design. [Citation Graph (0, 0)][DBLP]
    AISC, 2002, pp:12-25 [Conf]
  2. Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
    A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:867-876 [Conf]
  3. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
    Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:427-434 [Conf]
  4. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
    An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:498-505 [Conf]
  5. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
    A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:11-21 [Conf]
  6. Niranjan P. Bidargaddi, Madhu Chetty
    An Incremental Constructive Layer Algorithm for Controller Design. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:58-65 [Conf]
  7. Tamjidul Hoque, Madhu Chetty, Laurence Dooley
    An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. [Citation Graph (0, 0)][DBLP]
    HIS, 2004, pp:285-290 [Conf]
  8. Tamjidul Hoque, Madhu Chetty, Laurence Dooley
    Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model. [Citation Graph (0, 0)][DBLP]
    HIS, 2004, pp:291-296 [Conf]
  9. Chia Huey Ooi, Madhu Chetty
    A Comparative Study of Two Novel Predictor Set Scoring Methods. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:432-439 [Conf]
  10. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
    OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:10-23 [Conf]
  11. Tamjidul Hoque, Madhu Chetty, Laurence Dooley
    Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2005, pp:346-354 [Conf]
  12. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
    Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2005, pp:355-366 [Conf]
  13. Chia Huey Ooi, Madhu Chetty, Shyhwei Teng
    Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2005, pp:367-378 [Conf]
  14. Chia Huey Ooi, Madhu Chetty
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:578-587 [Conf]
  15. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
    Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:60-70 [Conf]
  16. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
    Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:6, pp:541-556 [Journal]
  17. Ramesh Ram, Madhu Chetty
    Learning Structure of a Gene Regulatory Network. [Citation Graph (0, 0)][DBLP]
    ACIS-ICIS, 2007, pp:525-531 [Conf]
  18. Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
    Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:84-97 [Conf]
  19. Ramesh Ram, Madhu Chetty
    A Framework for Path Analysis in Gene Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:264-273 [Conf]
  20. Tamjidul Hoque, Madhu Chetty, Laurence Dooley
    A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:259-266 [Conf]
  21. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
    Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:3, pp:329-366 [Journal]

  22. Novel Memetic Algorithm for Protein Structure Prediction. [Citation Graph (, )][DBLP]


  23. Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. [Citation Graph (, )][DBLP]


  24. Causal Modeling of Gene Regulatory Network. [Citation Graph (, )][DBLP]


  25. Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. [Citation Graph (, )][DBLP]


  26. A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets. [Citation Graph (, )][DBLP]


  27. MCMC Based Bayesian Inference for Modeling Gene Networks. [Citation Graph (, )][DBLP]


  28. DFS Based Partial Pathways in GA for Protein Structure Prediction. [Citation Graph (, )][DBLP]


  29. Constraint Minimization for Efficient Modeling of Gene Regulatory Network. [Citation Graph (, )][DBLP]


  30. Generating Synthetic Gene Regulatory Networks. [Citation Graph (, )][DBLP]


  31. Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models. [Citation Graph (, )][DBLP]


  32. Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. [Citation Graph (, )][DBLP]


  33. A guided genetic algorithm for learning gene regulatory networks. [Citation Graph (, )][DBLP]


  34. Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data. [Citation Graph (, )][DBLP]


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