Madhu Chetty
Orcid: 0000-0001-7052-0413
According to our database1,
Madhu Chetty
authored at least 118 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., February, 2024
2023
ACM Trans. Intell. Syst. Technol., December, 2023
EURASIP J. Inf. Secur., December, 2023
Informatics, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Combining kinetic orders for efficient S-System modelling of gene regulatory network.
Biosyst., 2022
Biosyst., 2022
Computational intelligence and machine learning in bioinformatics and computational biology.
Biosyst., 2022
Blockchain Based Smart Auction Mechanism for Distributed Peer-to-Peer Energy Trading.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Integrating steady-state and dynamic gene expression data for improving genetic network modelling.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept.
Knowl. Based Syst., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Factors Affecting the Organizational Adoption of Blockchain Technology: An Australian Perspective.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
2020
Swarm Evol. Comput., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model.
Proceedings of the Information Systems, 2020
Adoption of Blockchain Technology among Australian Organizations: A Mixed-Methods Approach.
Proceedings of the Australasian Conference on Information Systems, 2020
2019
Biosyst., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Challenges and opportunities for Blockchain Technology adoption: A systematic review.
Proceedings of the Australasian Conference on Information Systems, 2019
2018
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Australasian Computer Science Week Multiconference, 2018
Proceedings of the Australasian Computer Science Week Multiconference, 2018
Proceedings of the Australasian Conference on Information Systems, 2018
2017
2016
Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Network decomposition based large-scale reverse engineering of gene regulatory network.
Neurocomputing, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Sib-Based Survival Selection Technique for Protein Structure Prediction in 3D-FCC Lattice Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction.
IEEE Trans. Evol. Comput., 2013
BMC Bioinform., 2013
Incorporating time-delays in S-System model for reverse engineering genetic networks.
BMC Bioinform., 2013
Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique.
BMC Syst. Biol., 2012
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network.
BMC Bioinform., 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion.
Bioinform., 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Novel local improvement techniques in clustered memetic algorithm for protein structure prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Neurocomputing, 2010
Multiclass microarray gene expression classification based on fusion of correlation features.
Proceedings of the 13th Conference on Information Fusion, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Genetic Algorithm in<i>Ab Initio</i> Protein Structure Prediction Using Low Resolution Model: A Review.
Proceedings of the Biomedical Data and Applications, 2009
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction.
Neurocomputing, 2009
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment.
Genom. Proteom. Bioinform., 2008
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Proceedings of the Pattern Recognition in Bioinformatics, 2008
A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets.
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Proceedings of the Pattern Recognition in Bioinformatics, 2008
2007
Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets.
Data Min. Knowl. Discov., 2007
Algorithms Mol. Biol., 2007
Proceedings of the Pattern Recognition in Bioinformatics, 2007
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
2006
Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis.
J. Intell. Fuzzy Syst., 2006
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data.
BMC Bioinform., 2006
Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
Proceedings of the Advances in Data Mining, 2006
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005
Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005
Proceedings of the Applications of Evolutionary Computing, 2005
An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
2004
Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
2003
An Incremental Constructive Layer Algorithm for Controller Design.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
2002
Comput. Sci. Eng., 2002
Proceedings of the Artificial Intelligence, 2002