Madhu Chetty

发表

Generating Synthetic Gene Regulatory Networks

Ramesh Ram, Madhu Chetty, M. Chetty, 2008, PRIB.

Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2005, ISBMDA.

Extended HP Model for Protein Structure Prediction

Abdul Sattar, Madhu Chetty, Tamjidul Hoque, 2009, J. Comput. Biol..

Sib-Based Survival Selection Technique for Protein Structure Prediction in 3D-FCC Lattice Model

Madhu Chetty, Rumana Nazmul, 2014, ICONIP.

The Role of Feature Redundancy in tumor Classification

Madhu Chetty, Chia Huey Ooi, Iqbal Gondal, 2005, Advances in Bioinformatics and Its Applications.

Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model

Andrew Lewis, Abdul Sattar, Madhu Chetty, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Pre-trained Language Models with Limited Data for Intent Classification

Madhu Chetty, Gour Karmakar, Buddhika Kasthuriarachchy, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Frequency Decomposition Based Gene Clustering

Madhu Chetty, Mohamed Abdur Rahman, Dieter Bulach, 2015, ICONIP.

Characteristics of predictor sets found using differential prioritization

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2006, Algorithms for Molecular Biology.

Use of Symbolic Algebra Toolbox in System Simulation and Control

Madhu Chetty, Kishor P. Dabke, Baikunth Nath, 2000 .

Multimodal Memetic Framework for low-resolution protein structure prediction

Ahsan Raja Chowdhury, Madhu Chetty, Rumana Nazmul, 2020, Swarm Evol. Comput..

Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique

Xuan Vinh Nguyen, Madhu Chetty, Nizamul Morshed, 2011, ICONIP.

Fuzzy Model for Gene Regulatory Network

Trevor I. Dix, Ramesh Ram, Madhu Chetty, 2006, 2006 IEEE International Conference on Evolutionary Computation.

On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2013, ICONIP.

Large scale modeling of genetic networks using gene knockout data

Gour C. Karmakar, Madhu Chetty, Ahammed Sherief Kizhakkethil Youseph, 2018, ACSW.

An improved method to infer Gene Regulatory Network using S-System

Ahsan Raja Chowdhury, Madhu Chetty, A. Chowdhury, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Multi Agent Carbon Trading Incorporating Human Traits and Game Theory

Madhu Chetty, Long Tang, Suryani Lim, 2011, ICONIP.

Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2005, ISBMDA.

A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2005, 2005 IEEE Congress on Evolutionary Computation.

Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2005, ISBMDA.

A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2005, EvoWorkshops.

A Discrete Mode Fuzzy Power system Stabilizer

Madhu Chetty, N Trajkoski, 1999 .

Constraint Minimization for Efficient Modeling of Gene Regulatory Network

Ramesh Ram, Madhu Chetty, Dieter Bulach, 2008, PRIB.

Scoping study on development of an accurate load capability model for power transformers

Madhu Chetty, Michael F Conlon, H B Every, 1997 .

Symbolic computations: an overview and application to controller design

Madhu Chetty, K. P. Dabke, M. Chetty, 1999, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2013, ICONIP.

Local and Global Algorithms for Learning Dynamic Bayesian Networks

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2012, 2012 IEEE 12th International Conference on Data Mining.

Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction

M. Manzur Murshed, Madhu Chetty, Md. Kamrul Islam, 2011, ICONIP.

Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique

Xuan Vinh Nguyen, Madhu Chetty, Nizamul Morshed, 2011, BMC Systems Biology.

An Incremental Constructive Layer Algorithm for Controller Design

Madhu Chetty, Niranjan P. Bidargaddi, 2003, HIS.

Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Symbolic Algebra Systems: A New Way of Thinking in System Analysis and Control

Madhu Chetty, M. Chetty, 1999 .

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level

Madhu Chetty, Cameron Foale, Sunil Aryal, 2018, ICONIP.

Novel Memetic Algorithm for Protein Structure Prediction

Madhu Chetty, Md. Kamrul Islam, M. Islam, 2009, Australasian Conference on Artificial Intelligence.

Significance of Non-edge Priors in Gene Regulatory Network Reconstruction

Madhu Chetty, Pramod P. Wangikar, Ajay Nair, 2014, ICONIP.

DFS Based Partial Pathways in GA for Protein Structure Prediction

Andrew Lewis, Abdul Sattar, Madhu Chetty, 2008, PRIB.

An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept

Ahsan Raja Chowdhury, Madhu Chetty, Rumana Nazmul, 2018, Knowl. Based Syst..

Pattern Recognition in Bioinformatics

Bertil Schmidt, Shandar Ahmad, Madhu Chetty, 2010, Pattern Recognit. Lett..

Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2012, ICONIP.

Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy

Madhu Chetty, Rumana Nazmul, 2013, ICONIP.

Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2006, J. Intell. Fuzzy Syst..

Towards large scale genetic network modeling

Madhu Chetty, Rubaiya Rahtin Khan, M. Chetty, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

A priority based parental selection method for genetic algorithm

Madhu Chetty, Rumana Nazmul, 2013, GECCO '13 Companion.

Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2006, PRIB.

Issues impacting genetic network reverse engineering algorithm validation using small networks.

Madhu Chetty, Pramod P Wangikar, Nguyen Xuan Vinh, 2012, Biochimica et biophysica acta.

FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks

Xuan Vinh Nguyen, Madhu Chetty, Nizamul Morshed, 2012, ICONIP.

MCMC Based Bayesian Inference for Modeling Gene Networks

Ramesh Ram, Madhu Chetty, M. Chetty, 2009, PRIB.

Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Adaptive regulatory genes cardinality for reconstructing genetic networks

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2012, 2012 IEEE Congress on Evolutionary Computation.

Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2012, BMC Bioinformatics.

Combining segmental semi-Markov models with neural networks for protein secondary structure prediction

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2009, Neurocomputing.

Computational Intelligence in Bioinformatics

Elena Marchiori, Alioune Ngom, Madhu Chetty, 2010, Neurocomputing.

Post-inference Methods of Prior Knowledge Incorporation in Gene Regulatory Network Inference

Madhu Chetty, Ajay Nair, M. Chetty, 2017, bioRxiv.

Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions

Madhu Chetty, Nizamul Morshed, M. Chetty, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Gene regulatory network inference using Michaelis-Menten kinetics

Gour C. Karmakar, Madhu Chetty, Ahammed Sherief Kizhakkethil Youseph, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

On the Reconstruction of Genetic Network from Partial Microarray Data

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2012, ICONIP.

A scheme for on-line Web-based assessment

Madhu Chetty, 2000 .

A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2008, PRIB.

A Framework for Path Analysis in Gene Regulatory Networks

Ramesh Ram, Madhu Chetty, M. Chetty, 2007, PRIB.

Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data

Madhu Chetty, Chia Huey Ooi, 2005, PAKDD.

A guided genetic algorithm for learning gene regulatory networks

Ramesh Ram, Madhu Chetty, 2007, 2007 IEEE Congress on Evolutionary Computation.

A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2006, Australian Conference on Artificial Intelligence.

Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2005, BMC Bioinformatics.

A Memetic Approach to Protein Structure Prediction in Triangular Lattices

Madhu Chetty, Kathleen Steinhöfel, Abu Zafer M. Dayem Ullah, 2011, ICONIP.

Stochastic S-system modeling of gene regulatory network

Ahsan Raja Chowdhury, Madhu Chetty, Rob Evans, 2015, Cognitive Neurodynamics.

A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction

Madhu Chetty, Md. Kamrul Islam, M. Islam, 2013, IEEE Transactions on Evolutionary Computation.

Towards a Web-Based Control Engineering Laboratory

Madhu Chetty, K. P. Dabke, 2000 .

Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2007, PRIB.

A Markov-Blanket-Based Model for Gene Regulatory Network Inference

Ramesh Ram, Madhu Chetty, M. Chetty, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Novel local improvement techniques in clustered memetic algorithm for protein structure prediction

M. Manzur Murshed, Madhu Chetty, Md. Kamrul Islam, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2013, BMC Bioinformatics.

Weaving computational grids: how analogous are they with electrical grids?

Rajkumar Buyya, Madhu Chetty, R. Buyya, 2002, Comput. Sci. Eng..

Incorporating time-delays in S-System model for reverse engineering genetic networks

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2013, BMC Bioinformatics.

Inferring large scale genetic networks with S-system model

Xuan Vinh Nguyen, Ahsan Raja Chowdhury, Madhu Chetty, 2013, GECCO '13.

Protein folding prediction in 3D FCC HP lattice model using genetic algorithm

Abdul Sattar, Madhu Chetty, Tamjidul Hoque, 2007, 2007 IEEE Congress on Evolutionary Computation.

GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2011, Bioinform..

Modeling neurocognitive reaction time with gamma distribution

Madhu Chetty, Cameron Foale, Sunil Aryal, 2018, ACSW.

Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering

Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, 2011, ICONIP.

An Interactive Java-Based Educational Module in Electromagnetics

Madhu Chetty, S. Hu, J. Bennett, 2003 .

Assessing Transformer Oil Quality using Deep Convolutional Networks

Joarder Kamruzzaman, Madhu Chetty, Gour Karmakar, 2019, 2019 29th Australasian Universities Power Engineering Conference (AUPEC).

Information Technology and Organizational Learning Interplay: A Survey

Madhu Chetty, Saleem Malik, Mehmood A. Chadhar, 2018 .

Multiclass microarray gene expression classification based on fusion of correlation features

Girija Chetty, Madhu Chetty, 2010, 2010 13th International Conference on Information Fusion.

Clustered memetic algorithm for protein structure prediction

Madhu Chetty, Md. Kamrul Islam, M. Islam, 2010, IEEE Congress on Evolutionary Computation.

Network decomposition based large-scale reverse engineering of gene regulatory network

Ahsan Raja Chowdhury, Madhu Chetty, A. Chowdhury, 2015, Neurocomputing.

Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory

Madhu Chetty, Nizamul Morshed, 2011, Australasian Conference on Artificial Intelligence.

DFS-generated pathways in GA crossover for protein structure prediction

Andrew Lewis, Abdul Sattar, Madhu Chetty, 2010, Neurocomputing.

A Fuzzy Logic Based Discrete Mode Power System Stabilizer

Madhu Chetty, 2008 .

Special issue on multi-objective reinforcement learning

Marco Wiering, Madhu Chetty, Peter Vamplew, 2017, Neurocomputing.

Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics

Gour C. Karmakar, Madhu Chetty, Ahammed Sherief Kizhakkethil Youseph, 2015, ICONIP.

Towards Machine Learning approach for Digital-Health intervention program

Madhu Chetty, Cameron Foale, Britt Klein, 2019, Aust. J. Intell. Inf. Process. Syst..

Standards barriers to bioinformatics research

Shandar Ahmad, Madhu Chetty, Juanita Fernando, 2008, ICPR 2008.

Improving gene regulatory network inference using network topology information.

Madhu Chetty, Pramod P Wangikar, Ajay Nair, 2015, Molecular bioSystems.

Fuzzy decoding in Profile Hidden Markov Models for protein family identification

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2005, Advances in Bioinformatics and Its Applications.

Partially computed fitness function based genetic algorithm for hydrophobic-hydrophilic model

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2008, Genom. Proteom. Bioinform..

Turbine characteristic simulation using microcontroller based DC motor drive

Girija Chetty, Madhu Chetty, 1997 .

Causal Modeling of Gene Regulatory Network

Trevor I. Dix, Ramesh Ram, Madhu Chetty, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Learning Structure of a Gene Regulatory Network

Ramesh Ram, Madhu Chetty, M. Chetty, 2007, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007).

Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design

Madhu Chetty, M. Chetty, 2002, Artificial Intelligence and Symbolic Computation.

A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction

Madhu Chetty, Rumana Nazmul, 2013, ICONIP.

An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction

Joarder Kamruzzaman, Madhu Chetty, Niranjan P. Bidargaddi, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A Comparative Study of Two Novel Predictor Set Scoring Methods

Madhu Chetty, Chia Huey Ooi, 2005, IDEAL.

PCA based population generation for genetic network optimization

Madhu Chetty, Gour Karmakar, Ahammed Sherief Kizhakkethil Youseph, 2018, Cognitive Neurodynamics.

An Adaptive Strategy for Assortative Mating in Genetic Algorithm

Madhu Chetty, Rumana Nazmul, M. Chetty, 2013, 2013 IEEE Congress on Evolutionary Computation.

Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization

Gour C. Karmakar, Madhu Chetty, Ahammed Sherief Kizhakkethil Youseph, 2016, ICONIP.

Protein structure prediction based on optimal hydrophobic core formation

Ram Samudrala, Madhu Chetty, Rumana Nazmul, 2012, 2012 IEEE Congress on Evolutionary Computation.

Reverse engineering genetic networks using nonlinear saturation kinetics

Gour C. Karmakar, Madhu Chetty, Ahammed Sherief Kizhakkethil Youseph, 2019, Biosyst..

An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model

Madhu Chetty, Savanid Vatanasakdakul, Saleem Malik, 2020, EMCIS.

Binary-Organoid Particle Swarm optimisation for inferring genetic networks

Madhu Chetty, Santi S. Chanthaphavong, M. Chetty, 2010, IEEE Congress on Evolutionary Computation.

Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models

Girija Chetty, Madhu Chetty, G. Chetty, 2009, PRIB.

Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2006, Data Mining and Knowledge Discovery.

Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review

Abdul Sattar, Madhu Chetty, Tamjidul Hoque, 2009, Biomedical Data and Applications.

OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets

Madhu Chetty, Shyh Wei Teng, Chia Huey Ooi, 2006, Industrial Conference on Data Mining.

mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks

Xuan Vinh Nguyen, Madhu Chetty, Terry Caelli, 2013, GECCO '13.

An efficient algorithm for computing the fitness function of a hydrophobic-hydrophilic model

Madhu Chetty, Tamjidul Hoque, Laurence Dooley, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

Cost Effective Annotation Framework Using Zero-Shot Text Classification

Madhu Chetty, Buddhika Kasthuriarachchy, Darren Walls, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Factors Affecting the Organizational Adoption of Blockchain Technology: An Australian Perspective

Madhu Chetty, Mehmood A. Chadhar, Mehmood Chadhar, 2021, HICSS.

From General Language Understanding to Noisy Text Comprehension

Madhu Chetty, Buddhika Kasthuriarachchy, Darren Walls, 2021, Applied Sciences.

An Efficient Boolean Modelling Approach for Genetic Network Inference

Madhu Chetty, Jennifer Hallinan, Adrian Shatte, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks

Madhu Chetty, Jennifer Hallinan, Adrian Shatte, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Reconstruction of Large‐Scale Gene Regulatory Network using S‐system Model

Ahsan Raja Chowdhury, Madhu Chetty, A. Chowdhury, 2016 .