Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design. - Madhu Chetty (AISC, 2002)

Weaving computational grids: how analogous are they with electrical grids? - Madhu Chetty; Rajkumar Buyya (Comput. Sci. Eng., 2002)

An Incremental Constructive Layer Algorithm for Controller Design. - Niranjan P. Bidargaddi; Madhu Chetty (HIS, 2003)

An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. - Tamjidul Hoque; Madhu Chetty; Laurence Dooley (HIS, 2004)

Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model. - Tamjidul Hoque; Madhu Chetty; Laurence Dooley (HIS, 2004)

Fuzzy decoding in Profile Hidden Markov Models for protein family identification. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (Advances in Bioinformatics and Its Applications, 2005)

The Role of Feature Redundancy in tumor Classification. - Chia Huey Ooi; Madhu Chetty; Iqbal Gondal (Advances in Bioinformatics and Its Applications, 2005)

A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. - Tamjidul Hoque; Madhu Chetty; Laurence Dooley (Congress on Evolutionary Computation, 2005)

Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (CIBCB, 2005)

An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (CIBCB, 2005)

A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (EvoWorkshops, 2005)

A Comparative Study of Two Novel Predictor Set Scoring Methods. - Chia Huey Ooi; Madhu Chetty (IDEAL, 2005)

Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (ISBMDA, 2005)

Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. - Tamjidul Hoque; Madhu Chetty; Laurence Dooley (ISBMDA, 2005)

Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (ISBMDA, 2005)

Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. - Chia Huey Ooi; Madhu Chetty (PAKDD, 2005)

A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding. - Tamjidul Hoque; Madhu Chetty; Laurence S. Dooley (Australian Conference on Artificial Intelligence, 2006)

A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model. - Tamjidul Hoque; Madhu Chetty; Laurence S. Dooley (IEEE Congress on Evolutionary Computation, 2006)

Fuzzy Model for Gene Regulatory Network. - Ramesh Ram; Madhu Chetty; Trevor I. Dix (IEEE Congress on Evolutionary Computation, 2006)

Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (CIBCB, 2006)

Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. - Tamjidul Hoque; Madhu Chetty; Laurence S. Dooley (CIBCB, 2006)

Causal Modeling of Gene Regulatory Network. - Ramesh Ram; Madhu Chetty; Trevor I. Dix (CIBCB, 2006)

OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (ICDM, 2006)

Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (PRIB, 2006)

Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (BMC Bioinform., 2006)

Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (J. Intell. Fuzzy Syst., 2006)

Learning Structure of a Gene Regulatory Network. - Ramesh Ram; Madhu Chetty (ACIS-ICIS, 2007)

Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. - Tamjidul Hoque; Madhu Chetty; Abdul Sattar 001 (IEEE Congress on Evolutionary Computation, 2007)

A guided genetic algorithm for learning gene regulatory networks. - Ramesh Ram; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2007)

Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. - Tamjidul Hoque; Madhu Chetty; Laurence S. Dooley (PRIB, 2007)

A Framework for Path Analysis in Gene Regulatory Networks. - Ramesh Ram; Madhu Chetty (PRIB, 2007)

Characteristics of predictor sets found using differential prioritization. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (Algorithms Mol. Biol., 2007)

Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets. - Chia Huey Ooi; Madhu Chetty; Shyh Wei Teng (Data Min. Knowl. Discov., 2007)

DFS Based Partial Pathways in GA for Protein Structure Prediction. - Tamjidul Hoque; Madhu Chetty; Andrew Lewis; Abdul Sattar 001 (PRIB, 2008)

A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets. - Chia Huey Ooi; Shyh Wei Teng; Madhu Chetty (PRIB, 2008)

Generating Synthetic Gene Regulatory Networks. - Ramesh Ram; Madhu Chetty (PRIB, 2008)

Constraint Minimization for Efficient Modeling of Gene Regulatory Network. - Ramesh Ram; Madhu Chetty; Dieter Bulach (PRIB, 2008)

Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (Genom. Proteom. Bioinform., 2008)

Novel Memetic Algorithm for Protein Structure Prediction. - Md. Kamrul Islam 001; Madhu Chetty (Australasian Conference on Artificial Intelligence, 2009)

Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models. - Girija Chetty; Madhu Chetty (PRIB, 2009)

MCMC Based Bayesian Inference for Modeling Gene Networks. - Ramesh Ram; Madhu Chetty (PRIB, 2009)

Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. - Niranjan P. Bidargaddi; Madhu Chetty; Joarder Kamruzzaman (Neurocomputing, 2009)

Extended HP Model for Protein Structure Prediction. - Tamjidul Hoque; Madhu Chetty; Abdul Sattar 001 (J. Comput. Biol., 2009)

Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review. - Tamjidul Hoque; Madhu Chetty; Abdul Sattar 001 (Biomedical Data and Applications, 2009)

Binary-Organoid Particle Swarm optimisation for inferring genetic networks. - Santi S. Chanthaphavong; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2010)

Clustered memetic algorithm for protein structure prediction. - Md. Kamrul Islam 001; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2010)

Multiclass microarray gene expression classification based on fusion of correlation features. - Girija Chetty; Madhu Chetty (FUSION, 2010)

Computational Intelligence in Bioinformatics. - Madhu Chetty; Alioune Ngom; Elena Marchiori (Neurocomputing, 2010)

DFS-generated pathways in GA crossover for protein structure prediction. - Tamjidul Hoque; Madhu Chetty; Andrew Lewis; Abdul Sattar 001; Vicky M. Avery (Neurocomputing, 2010)

Pattern Recognition in Bioinformatics. - Shandar Ahmad; Madhu Chetty; Bertil Schmidt (Pattern Recognit. Lett., 2010)

Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory. - Nizamul Morshed; Madhu Chetty (Australasian Conference on Artificial Intelligence, 2011)

An improved method to infer Gene Regulatory Network using S-System. - Ahsan Raja Chowdhury; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2011)

Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. - Md. Kamrul Islam 001; Madhu Chetty; M. Manzur Murshed (IEEE Congress on Evolutionary Computation, 2011)

Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. - Nizamul Morshed; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2011)

Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction. - Md. Kamrul Islam 001; Madhu Chetty; M. Manzur Murshed (ICONIP (1), 2011)

A Memetic Approach to Protein Structure Prediction in Triangular Lattices. - Md. Kamrul Islam 001; Madhu Chetty; Abu Zafer M. Dayem Ullah; Kathleen Steinhöfel (ICONIP (1), 2011)

Multi Agent Carbon Trading Incorporating Human Traits and Game Theory. - Long Tang; Madhu Chetty; Suryani Lim (ICONIP (3), 2011)

Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (ICONIP (1), 2011)

Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (ICONIP (3), 2011)

GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (Bioinform., 2011)

Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model. - Tamjidul Hoque; Madhu Chetty; Andrew Lewis; Abdul Sattar 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

A Markov-Blanket-Based Model for Gene Regulatory Network Inference. - Ramesh Ram; Madhu Chetty (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Adaptive regulatory genes cardinality for reconstructing genetic networks. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (IEEE Congress on Evolutionary Computation, 2012)

Protein structure prediction based on optimal hydrophobic core formation. - Rumana Nazmul; Madhu Chetty; Ram Samudrala; David K. Chalmers (IEEE Congress on Evolutionary Computation, 2012)

Local and Global Algorithms for Learning Dynamic Bayesian Networks. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (ICDM, 2012)

On the Reconstruction of Genetic Network from Partial Microarray Data. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (ICONIP (1), 2012)

FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks. - Nizamul Morshed; Madhu Chetty; Xuan Vinh Nguyen (ICONIP (5), 2012)

Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (ICONIP (2), 2012)

Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Pramod P. Wangikar (BMC Bioinform., 2012)

Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique. - Nizamul Morshed; Madhu Chetty; Xuan Vinh Nguyen (BMC Syst. Biol., 2012)

An Adaptive Strategy for Assortative Mating in Genetic Algorithm. - Rumana Nazmul; Madhu Chetty (IEEE Congress on Evolutionary Computation, 2013)

Inferring large scale genetic networks with S-system model. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (GECCO, 2013)

mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks. - Nizamul Morshed; Madhu Chetty; Xuan Vinh Nguyen; Terry Caelli (GECCO, 2013)

A priority based parental selection method for genetic algorithm. - Rumana Nazmul; Madhu Chetty (GECCO (Companion), 2013)

On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (ICONIP (2), 2013)

Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (ICONIP (2), 2013)

A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction. - Rumana Nazmul; Madhu Chetty (ICONIP (2), 2013)

Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy. - Rumana Nazmul; Madhu Chetty (ICONIP (2), 2013)

Incorporating time-delays in S-System model for reverse engineering genetic networks. - Ahsan Raja Chowdhury; Madhu Chetty; Xuan Vinh Nguyen (BMC Bioinform., 2013)

A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142. - Xuan Vinh Nguyen; Madhu Chetty; Ross L. Coppel; Sandeep Gaudana; Pramod P. Wangikar (BMC Bioinform., 2013)

Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction. - Md. Kamrul Islam 001; Madhu Chetty (IEEE Trans. Evol. Comput., 2013)

Significance of Non-edge Priors in Gene Regulatory Network Reconstruction. - Ajay Nair; Madhu Chetty; Pramod P. Wangikar (ICONIP (1), 2014)

Sib-Based Survival Selection Technique for Protein Structure Prediction in 3D-FCC Lattice Model. - Rumana Nazmul; Madhu Chetty (ICONIP (2), 2014)

Gene regulatory network inference using Michaelis-Menten kinetics. - Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour C. Karmakar (CEC, 2015)

Towards large scale genetic network modeling. - Rubaiya Rahtin Khan; Madhu Chetty (CIBCB, 2015)

Frequency Decomposition Based Gene Clustering. - Md. Abdur Rahman 002; Madhu Chetty; Dieter Bulach; Pramod P. Wangikar (ICONIP (2), 2015)

Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics. - Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour C. Karmakar (ICONIP (3), 2015)

Network decomposition based large-scale reverse engineering of gene regulatory network. - Ahsan Raja Chowdhury; Madhu Chetty (Neurocomputing, 2015)

Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization. - Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour C. Karmakar (ICONIP (1), 2016)

Special issue on multi-objective reinforcement learning. - Madalina M. Drugan; Marco A. Wiering; Peter Vamplew 001; Madhu Chetty (Neurocomputing, 2017)

Information Technology and Organizational Learning Interplay: A Survey. - Saleem Malik; Madhu Chetty; Mehmood Chadhar (ACIS, 2018)

Modeling neurocognitive reaction time with gamma distribution. - Meena Santhanagopalan; Madhu Chetty; Cameron Foale; Sunil Aryal; Britt Klein (ACSW, 2018)

Large scale modeling of genetic networks using gene knockout data. - Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour C. Karmakar (ACSW, 2018)

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. - Meena Santhanagopalan; Madhu Chetty; Cameron Foale; Sunil Aryal; Britt Klein (ICONIP (7), 2018)

Challenges and opportunities for Blockchain Technology adoption: A systematic review. - Shipra Chhina; Mehmood Chadhar; Savanid Vatanasakdakul; Madhu Chetty (ACIS, 2019)

Towards Machine Learning approach for Digital-Health intervention program. - Meena Santhanagopalan; Madhu Chetty; Cameron Foale; Britt Klein (Aust. J. Intell. Inf. Process. Syst., 2019)

Reverse engineering genetic networks using nonlinear saturation kinetics. - Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour C. Karmakar (Biosyst., 2019)

Adoption of Blockchain Technology among Australian Organizations: A Mixed-Methods Approach. - Saleem Malik; Mehmood A. Chadhar; Madhu Chetty; Savanid Vatanasakdakul (ACIS, 2020)

An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model. - Saleem Malik; Mehmood Chadhar; Madhu Chetty; Savanid Vatanasakdakul (EMCIS, 2020)

Pre-trained Language Models with Limited Data for Intent Classification. - Buddhika Kasthuriarachchy; Madhu Chetty; Gour C. Karmakar; Darren Walls (IJCNN, 2020)

Multimodal Memetic Framework for low-resolution protein structure prediction. - Rumana Nazmul; Madhu Chetty; Ahsan Raja Chowdhury (Swarm Evol. Comput., 2020)

An Efficient Boolean Modelling Approach for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Factors Affecting the Organizational Adoption of Blockchain Technology: An Australian Perspective. - Muhammad Saleem Malik; Mehmood Chadhar; Madhu Chetty (HICSS, 2021)

Cost Effective Annotation Framework Using Zero-Shot Text Classification. - Buddhika Kasthuriarachchy; Madhu Chetty; Adrian Shatte; Darren Walls (IJCNN, 2021)

An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept. - Rumana Nazmul; Madhu Chetty; Ahsan Raja Chowdhury (Knowl. Based Syst., 2021)

Incorporating Price Information in Blockchain-based Energy Trading. - Md. Ezazul Islam; Madhu Chetty; Suryani Lim; Mehmood Chadhar; Syed Islam (AMCIS, 2022)

Ensemble Regression Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

Integrating steady-state and dynamic gene expression data for improving genetic network modelling. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

Blockchain Based Smart Auction Mechanism for Distributed Peer-to-Peer Energy Trading. - Md. Kamrul Islam 001; Madhu Chetty; Suryani Lim; Mehmood Chadhar; Syed Islam (HICSS, 2022)

Computational intelligence and machine learning in bioinformatics and computational biology. - Madhu Chetty; Jennifer Hallinan; Gonzalo A. Ruz; Anil Wipat (Biosyst., 2022)

Filter feature selection based Boolean Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

Combining kinetic orders for efficient S-System modelling of gene regulatory network. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

A Robust Ensemble Regression Model for Reconstructing Genetic Networks. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Suryani Lim; Jennifer Hallinan; Huy Nguyen (IJCNN, 2023)

Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction. - Jaskaran Gill; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Informatics, 2023)

User authentication and access control to blockchain-based forensic log data. - Md. Ezazul Islam; Md. Rafiqul Islam 002; Madhu Chetty; Suryani Lim; Mehmood Chadhar (EURASIP J. Inf. Secur., 2023)

Meaning-Sensitive Text Data Augmentation with Intelligent Masking. - Buddhika Kasthuriarachchy; Madhu Chetty; Adrian Shatte; Darren Walls (ACM Trans. Intell. Syst. Technol., 2023)

Curating Electronic Health Record Data to Assess Causal Inference Effect of Metformin on Hypertension Population Progression to Chronic Kidney Disease. - Nabila Sekar Ramadhanti; Suryani Lim; Michal Chorev; Madhu Chetty; Fadi Charchar (ICBBE, 2024)

GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Knowl. Based Syst., 2024)

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. - Shuo Yu 001; Feng Xia 001; Yueru Wang; Shihao Li; Falih Gozi Febrinanto; Madhu Chetty (IEEE Trans. Comput. Soc. Syst., 2024)

Speech based detection of Alzheimer's disease: a survey of AI techniques, datasets and challenges. - Kewen Ding; Madhu Chetty; Azadeh Noori Hoshyar; Tanusri Bhattacharya; Britt Klein (Artif. Intell. Rev., 2024)

BioBERT based text mining for incorporating prior knowledge in the inference of genetic network models. - Jaskaran Gill; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Comput. Biol. Medicine, 2025)