Madhu Chetty

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 36

Top Venues

Publications

Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR (2024)
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls
Meaning-Sensitive Text Data Augmentation with Intelligent Masking. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Jaskaran Gill, Madhu Chetty, Suryani Lim, Jennifer Hallinan
Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction. Informatics 10 (4) (2023)
Md. Ezazul Islam, Md. Rafiqul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar
User authentication and access control to blockchain-based forensic log data. EURASIP J. Inf. Secur. 2023 (1) (2023)
Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan, Huy Nguyen
A Robust Ensemble Regression Model for Reconstructing Genetic Networks. IJCNN (2023)
Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
Filter feature selection based Boolean Modelling for Genetic Network Inference. Biosyst. 221 (2022)
Md. Ezazul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar, Syed Islam
Incorporating Price Information in Blockchain-based Energy Trading. AMCIS (2022)
Madhu Chetty, Jennifer Hallinan, Gonzalo A. Ruz, Anil Wipat
Computational intelligence and machine learning in bioinformatics and computational biology. Biosyst. 222 (2022)
Md. Kamrul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar, Syed Islam
Blockchain Based Smart Auction Mechanism for Distributed Peer-to-Peer Energy Trading. HICSS (2022)
Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
Ensemble Regression Modelling for Genetic Network Inference. CIBCB (2022)
Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
Integrating steady-state and dynamic gene expression data for improving genetic network modelling. CIBCB (2022)
Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
Combining kinetic orders for efficient S-System modelling of gene regulatory network. Biosyst. 220 (2022)
Rumana Nazmul, Madhu Chetty, Ahsan Raja Chowdhury
An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept. Knowl. Based Syst. 219 (2021)
Muhammad Saleem Malik, Mehmood Chadhar, Madhu Chetty
Factors Affecting the Organizational Adoption of Blockchain Technology: An Australian Perspective. HICSS (2021)
Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
An Efficient Boolean Modelling Approach for Genetic Network Inference. CIBCB (2021)
Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls
Cost Effective Annotation Framework Using Zero-Shot Text Classification. IJCNN (2021)
Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. CIBCB (2021)
Rumana Nazmul, Madhu Chetty, Ahsan Raja Chowdhury
Multimodal Memetic Framework for low-resolution protein structure prediction. Swarm Evol. Comput. 52 (2020)
Saleem Malik, Mehmood Chadhar, Madhu Chetty, Savanid Vatanasakdakul
An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model. EMCIS (2020)
Buddhika Kasthuriarachchy, Madhu Chetty, Gour C. Karmakar, Darren Walls
Pre-trained Language Models with Limited Data for Intent Classification. IJCNN (2020)
Saleem Malik, Mehmood A. Chadhar, Madhu Chetty, Savanid Vatanasakdakul
Adoption of Blockchain Technology among Australian Organizations: A Mixed-Methods Approach. ACIS (2020)
Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
Reverse engineering genetic networks using nonlinear saturation kinetics. Biosyst. 182 (2019)
Shipra Chhina, Mehmood Chadhar, Savanid Vatanasakdakul, Madhu Chetty
Challenges and opportunities for Blockchain Technology adoption: A systematic review. ACIS (2019)
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Britt Klein
Towards Machine Learning approach for Digital-Health intervention program. Aust. J. Intell. Inf. Process. Syst. 15 (3) (2019)
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
Modeling neurocognitive reaction time with gamma distribution. ACSW (2018)
Saleem Malik, Madhu Chetty, Mehmood Chadhar
Information Technology and Organizational Learning Interplay: A Survey. ACIS (2018)
Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
Large scale modeling of genetic networks using gene knockout data. ACSW (2018)
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. ICONIP (7) (2018)
Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
Special issue on multi-objective reinforcement learning. Neurocomputing 263 (2017)
Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization. ICONIP (1) (2016)
Ahsan Raja Chowdhury, Madhu Chetty
Network decomposition based large-scale reverse engineering of gene regulatory network. Neurocomputing 160 (2015)
Rubaiya Rahtin Khan, Madhu Chetty
Towards large scale genetic network modeling. CIBCB (2015)
Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics. ICONIP (3) (2015)
Md. Abdur Rahman, Madhu Chetty, Dieter Bulach, Pramod P. Wangikar
Frequency Decomposition Based Gene Clustering. ICONIP (2) (2015)
Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
Gene regulatory network inference using Michaelis-Menten kinetics. CEC (2015)
Rumana Nazmul, Madhu Chetty
Sib-Based Survival Selection Technique for Protein Structure Prediction in 3D-FCC Lattice Model. ICONIP (2) (2014)
Ajay Nair, Madhu Chetty, Pramod P. Wangikar
Significance of Non-edge Priors in Gene Regulatory Network Reconstruction. ICONIP (1) (2014)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient. ICONIP (2) (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Inferring large scale genetic networks with S-system model. GECCO (2013)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen, Terry Caelli
mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks. GECCO (2013)
Rumana Nazmul, Madhu Chetty
Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy. ICONIP (2) (2013)
Rumana Nazmul, Madhu Chetty
An Adaptive Strategy for Assortative Mating in Genetic Algorithm. IEEE Congress on Evolutionary Computation (2013)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Sandeep Gaudana, Pramod P. Wangikar
A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142. BMC Bioinform. 14 (S-2) (2013)
Rumana Nazmul, Madhu Chetty
A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction. ICONIP (2) (2013)
Rumana Nazmul, Madhu Chetty
A priority based parental selection method for genetic algorithm. GECCO (Companion) (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Incorporating time-delays in S-System model for reverse engineering genetic networks. BMC Bioinform. 14 (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model. ICONIP (2) (2013)
Md. Kamrul Islam, Madhu Chetty
Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction. IEEE Trans. Evol. Comput. 17 (4) (2013)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique. BMC Syst. Biol. 6 (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks. ICONIP (2) (2012)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Adaptive regulatory genes cardinality for reconstructing genetic networks. IEEE Congress on Evolutionary Computation (2012)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks. ICONIP (5) (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Local and Global Algorithms for Learning Dynamic Bayesian Networks. ICDM (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network. BMC Bioinform. 13 (2012)
Rumana Nazmul, Madhu Chetty, Ram Samudrala, David K. Chalmers
Protein structure prediction based on optimal hydrophobic core formation. IEEE Congress on Evolutionary Computation (2012)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
On the Reconstruction of Genetic Network from Partial Microarray Data. ICONIP (1) (2012)
Nizamul Morshed, Madhu Chetty
Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory. Australasian Conference on Artificial Intelligence (2011)
Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed
Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation (2011)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique. ICONIP (2) (2011)
Long Tang, Madhu Chetty, Suryani Lim
Multi Agent Carbon Trading Incorporating Human Traits and Game Theory. ICONIP (3) (2011)
Nizamul Morshed, Madhu Chetty
Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. IEEE Congress on Evolutionary Computation (2011)
Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar
Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (1) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Bioinform. 27 (19) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network. ICONIP (3) (2011)
Ahsan Raja Chowdhury, Madhu Chetty
An improved method to infer Gene Regulatory Network using S-System. IEEE Congress on Evolutionary Computation (2011)
Md. Kamrul Islam, Madhu Chetty, Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
A Memetic Approach to Protein Structure Prediction in Triangular Lattices. ICONIP (1) (2011)
Ramesh Ram, Madhu Chetty
A Markov-Blanket-Based Model for Gene Regulatory Network Inference. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (2) (2011)
Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed
Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction. ICONIP (1) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering. ICONIP (1) (2011)
Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery
DFS-generated pathways in GA crossover for protein structure prediction. Neurocomputing 73 (13-15) (2010)
Md. Kamrul Islam, Madhu Chetty
Clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation (2010)
Madhu Chetty, Alioune Ngom, Elena Marchiori
Computational Intelligence in Bioinformatics. Neurocomputing 73 (13-15) (2010)
Santi S. Chanthaphavong, Madhu Chetty
Binary-Organoid Particle Swarm optimisation for inferring genetic networks. IEEE Congress on Evolutionary Computation (2010)
Girija Chetty, Madhu Chetty
Multiclass microarray gene expression classification based on fusion of correlation features. FUSION (2010)
Shandar Ahmad, Madhu Chetty, Bertil Schmidt
Pattern Recognition in Bioinformatics. Pattern Recognit. Lett. 31 (14) (2010)
Tamjidul Hoque, Madhu Chetty, Abdul Sattar
Extended HP Model for Protein Structure Prediction. J. Comput. Biol. 16 (1) (2009)
Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. Neurocomputing 72 (16-18) (2009)
Girija Chetty, Madhu Chetty
Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models. PRIB (2009)
Ramesh Ram, Madhu Chetty
MCMC Based Bayesian Inference for Modeling Gene Networks. PRIB (2009)
Md. Kamrul Islam, Madhu Chetty
Novel Memetic Algorithm for Protein Structure Prediction. Australasian Conference on Artificial Intelligence (2009)
Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment. Genom. Proteom. Bioinform. 6 (2) (2008)
Ramesh Ram, Madhu Chetty, Dieter Bulach
Constraint Minimization for Efficient Modeling of Gene Regulatory Network. PRIB (2008)
Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar
DFS Based Partial Pathways in GA for Protein Structure Prediction. PRIB (2008)
Chia Huey Ooi, Shyh Wei Teng, Madhu Chetty
A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets. PRIB (2008)
Ramesh Ram, Madhu Chetty
Generating Synthetic Gene Regulatory Networks. PRIB (2008)
Tamjidul Hoque, Madhu Chetty, Abdul Sattar
Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. IEEE Congress on Evolutionary Computation (2007)
Ramesh Ram, Madhu Chetty
A Framework for Path Analysis in Gene Regulatory Networks. PRIB (2007)
Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. PRIB (2007)
Ramesh Ram, Madhu Chetty
A guided genetic algorithm for learning gene regulatory networks. IEEE Congress on Evolutionary Computation (2007)
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
Characteristics of predictor sets found using differential prioritization. Algorithms Mol. Biol. 2 (2007)
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) (2007)
Ramesh Ram, Madhu Chetty
Learning Structure of a Gene Regulatory Network. ACIS-ICIS (2007)
Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model. IEEE Congress on Evolutionary Computation (2006)
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)
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data. BMC Bioinform. 7 (2006)
Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis. J. Intell. Fuzzy Syst. 17 (6) (2006)
Ramesh Ram, Madhu Chetty, Trevor I. Dix
Causal Modeling of Gene Regulatory Network. CIBCB (2006)
Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. CIBCB (2006)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Madhu Chetty