Madhu Chetty - RankMe

127 papers A* 2A 2B 18C 16Misc 1Journal 36Unranked 48

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BioBERT based text mining for incorporating prior knowledge in the inference of genetic network models. Comput. Biol. Medicine Jaskaran Gill, Madhu Chetty, Suryani Lim, Jennifer Hallinan
2025	—	`conf`	Propensity Score Estimation for Causal Inference in Observational Healthcare Studies. HIKM Nabila Sekar Ramadhanti, Suryani Lim, Michal Chorev, Madhu Chetty, Fadi Charchar
2024	—	`conf`	Curating Electronic Health Record Data to Assess Causal Inference Effect of Metformin on Hypertension Population Progression to Chronic Kidney Disease. ICBBE Nabila Sekar Ramadhanti, Suryani Lim, Michal Chorev, Madhu Chetty, Fadi Charchar
2024	J	`jnl`	GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks. Knowl. Based Syst. Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan
2024	J	`jnl`	PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Trans. Comput. Soc. Syst. Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty
2024	J	`jnl`	PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty
2024	J	`jnl`	Speech based detection of Alzheimer's disease: a survey of AI techniques, datasets and challenges. Artif. Intell. Rev. Kewen Ding, Madhu Chetty, Azadeh Noori Hoshyar, Tanusri Bhattacharya, Britt Klein
2023	B	`conf`	A Robust Ensemble Regression Model for Reconstructing Genetic Networks. IJCNN Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan, Huy Nguyen
2023	J	`jnl`	Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction. Informatics Jaskaran Gill, Madhu Chetty, Suryani Lim, Jennifer Hallinan
2023	J	`jnl`	Meaning-Sensitive Text Data Augmentation with Intelligent Masking. ACM Trans. Intell. Syst. Technol. Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls
2023	J	`jnl`	User authentication and access control to blockchain-based forensic log data. EURASIP J. Inf. Secur. Md. Ezazul Islam, Md. Rafiqul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar
2022	—	`conf`	Blockchain Based Smart Auction Mechanism for Distributed Peer-to-Peer Energy Trading. HICSS Md. Kamrul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar, Syed Islam
2022	J	`jnl`	Combining kinetic orders for efficient S-System modelling of gene regulatory network. Biosyst. Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2022	J	`jnl`	Computational intelligence and machine learning in bioinformatics and computational biology. Biosyst. Madhu Chetty, Jennifer Hallinan, Gonzalo A. Ruz, Anil Wipat
2022	C	`conf`	Ensemble Regression Modelling for Genetic Network Inference. CIBCB Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2022	J	`jnl`	Filter feature selection based Boolean Modelling for Genetic Network Inference. Biosyst. Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2022	—	`conf`	Incorporating Price Information in Blockchain-based Energy Trading. AMCIS Md. Ezazul Islam, Madhu Chetty, Suryani Lim, Mehmood Chadhar, Syed Islam
2022	C	`conf`	Integrating steady-state and dynamic gene expression data for improving genetic network modelling. CIBCB Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2021	C	`conf`	An Efficient Boolean Modelling Approach for Genetic Network Inference. CIBCB Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2021	J	`jnl`	An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept. Knowl. Based Syst. Rumana Nazmul, Madhu Chetty, Ahsan Raja Chowdhury
2021	B	`conf`	Cost Effective Annotation Framework Using Zero-Shot Text Classification. IJCNN Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls
2021	C	`conf`	Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. CIBCB Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan
2021	—	`conf`	Factors Affecting the Organizational Adoption of Blockchain Technology: An Australian Perspective. HICSS Muhammad Saleem Malik, Mehmood Chadhar, Madhu Chetty
2021	C	`ed.`	IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021 CIBCB Jennifer Hallinan, Madhu Chetty, Gonzalo Ruz Heredia, Adrian Shatte, Suryani Lim
2020	—	`conf`	Adoption of Blockchain Technology among Australian Organizations: A Mixed-Methods Approach. ACIS Saleem Malik, Mehmood A. Chadhar, Madhu Chetty, Savanid Vatanasakdakul
2020	—	`conf`	An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model. EMCIS Saleem Malik, Mehmood Chadhar, Madhu Chetty, Savanid Vatanasakdakul
2020	J	`jnl`	Multimodal Memetic Framework for low-resolution protein structure prediction. Swarm Evol. Comput. Rumana Nazmul, Madhu Chetty, Ahsan Raja Chowdhury
2020	B	`conf`	Pre-trained Language Models with Limited Data for Intent Classification. IJCNN Buddhika Kasthuriarachchy, Madhu Chetty, Gour C. Karmakar, Darren Walls
2019	—	`conf`	Challenges and opportunities for Blockchain Technology adoption: A systematic review. ACIS Shipra Chhina, Mehmood Chadhar, Savanid Vatanasakdakul, Madhu Chetty
2019	J	`jnl`	Reverse engineering genetic networks using nonlinear saturation kinetics. Biosyst. Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
2019	J	`jnl`	Towards Machine Learning approach for Digital-Health intervention program. Aust. J. Intell. Inf. Process. Syst. Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Britt Klein
2018	—	`conf`	Information Technology and Organizational Learning Interplay: A Survey. ACIS Saleem Malik, Madhu Chetty, Mehmood Chadhar
2018	—	`conf`	Large scale modeling of genetic networks using gene knockout data. ACSW Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
2018	—	`conf`	Modeling neurocognitive reaction time with gamma distribution. ACSW Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
2018	—	`conf`	Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. ICONIP (7) Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
2017	J	`jnl`	Special issue on multi-objective reinforcement learning. Neurocomputing Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
2016	—	`conf`	Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization. ICONIP (1) Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
2015	—	`conf`	Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics. ICONIP (3) Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
2015	—	`conf`	Frequency Decomposition Based Gene Clustering. ICONIP (2) Md. Abdur Rahman, Madhu Chetty, Dieter Bulach, Pramod P. Wangikar
2015	B	`conf`	Gene regulatory network inference using Michaelis-Menten kinetics. CEC Ahammed Sherief Kizhakkethil Youseph, Madhu Chetty, Gour C. Karmakar
2015	J	`jnl`	Network decomposition based large-scale reverse engineering of gene regulatory network. Neurocomputing Ahsan Raja Chowdhury, Madhu Chetty
2015	C	`conf`	Towards large scale genetic network modeling. CIBCB Rubaiya Rahtin Khan, Madhu Chetty
2014	—	`conf`	Sib-Based Survival Selection Technique for Protein Structure Prediction in 3D-FCC Lattice Model. ICONIP (2) Rumana Nazmul, Madhu Chetty
2014	—	`conf`	Significance of Non-edge Priors in Gene Regulatory Network Reconstruction. ICONIP (1) Ajay Nair, Madhu Chetty, Pramod P. Wangikar
2013	—	`conf`	A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction. ICONIP (2) Rumana Nazmul, Madhu Chetty
2013	J	`jnl`	A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142. BMC Bioinform. Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Sandeep Gaudana, Pramod P. Wangikar
2013	—	`conf`	A priority based parental selection method for genetic algorithm. GECCO (Companion) Rumana Nazmul, Madhu Chetty
2013	B	`conf`	An Adaptive Strategy for Assortative Mating in Genetic Algorithm. IEEE Congress on Evolutionary Computation Rumana Nazmul, Madhu Chetty
2013	J	`jnl`	Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction. IEEE Trans. Evol. Comput. Md. Kamrul Islam, Madhu Chetty
2013	J	`jnl`	Incorporating time-delays in S-System model for reverse engineering genetic networks. BMC Bioinform. Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2013	A	`conf`	Inferring large scale genetic networks with S-system model. GECCO Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2013	—	`conf`	On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model. ICONIP (2) Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2013	—	`conf`	Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy. ICONIP (2) Rumana Nazmul, Madhu Chetty
2013	—	`conf`	Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient. ICONIP (2) Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2013	A	`conf`	mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks. GECCO Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen, Terry Caelli
2012	B	`conf`	Adaptive regulatory genes cardinality for reconstructing genetic networks. IEEE Congress on Evolutionary Computation Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2012	—	`conf`	Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks. ICONIP (2) Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2012	—	`conf`	FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks. ICONIP (5) Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
2012	J	`jnl`	Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network. BMC Bioinform. Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2012	A*	`conf`	Local and Global Algorithms for Learning Dynamic Bayesian Networks. ICDM Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2012	—	`conf`	On the Reconstruction of Genetic Network from Partial Microarray Data. ICONIP (1) Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
2012	B	`conf`	Protein structure prediction based on optimal hydrophobic core formation. IEEE Congress on Evolutionary Computation Rumana Nazmul, Madhu Chetty, Ram Samudrala, David K. Chalmers
2012	J	`jnl`	Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique. BMC Syst. Biol. Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
2011	J	`jnl`	A Markov-Blanket-Based Model for Gene Regulatory Network Inference. IEEE ACM Trans. Comput. Biol. Bioinform. Ramesh Ram, Madhu Chetty
2011	—	`conf`	A Memetic Approach to Protein Structure Prediction in Triangular Lattices. ICONIP (1) Md. Kamrul Islam, Madhu Chetty, Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
2011	B	`conf`	An improved method to infer Gene Regulatory Network using S-System. IEEE Congress on Evolutionary Computation Ahsan Raja Chowdhury, Madhu Chetty
2011	—	`conf`	Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory. Australasian Conference on Artificial Intelligence Nizamul Morshed, Madhu Chetty
2011	—	`conf`	Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction. ICONIP (1) Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed
2011	—	`conf`	Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering. ICONIP (1) Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2011	J	`jnl`	GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Bioinform. Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2011	—	`conf`	Multi Agent Carbon Trading Incorporating Human Traits and Game Theory. ICONIP (3) Long Tang, Madhu Chetty, Suryani Lim
2011	B	`conf`	Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed
2011	—	`conf`	Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network. ICONIP (3) Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
2011	B	`conf`	Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. IEEE Congress on Evolutionary Computation Nizamul Morshed, Madhu Chetty
2011	—	`conf`	Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique. ICONIP (2) Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
2011	J	`jnl`	Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model. IEEE ACM Trans. Comput. Biol. Bioinform. Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar
2010	B	`conf`	Binary-Organoid Particle Swarm optimisation for inferring genetic networks. IEEE Congress on Evolutionary Computation Santi S. Chanthaphavong, Madhu Chetty
2010	B	`conf`	Clustered memetic algorithm for protein structure prediction. IEEE Congress on Evolutionary Computation Md. Kamrul Islam, Madhu Chetty
2010	J	`jnl`	Computational Intelligence in Bioinformatics. Neurocomputing Madhu Chetty, Alioune Ngom, Elena Marchiori
2010	J	`jnl`	DFS-generated pathways in GA crossover for protein structure prediction. Neurocomputing Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery
2010	C	`conf`	Multiclass microarray gene expression classification based on fusion of correlation features. FUSION Girija Chetty, Madhu Chetty
2010	J	`jnl`	Pattern Recognition in Bioinformatics. Pattern Recognit. Lett. Shandar Ahmad, Madhu Chetty, Bertil Schmidt
2009	J	`jnl`	Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. Neurocomputing Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2009	J	`jnl`	Extended HP Model for Protein Structure Prediction. J. Comput. Biol. Tamjidul Hoque, Madhu Chetty, Abdul Sattar
2009	—	`ch.`	Genetic Algorithm in Biomedical Data and Applications Tamjidul Hoque, Madhu Chetty, Abdul Sattar
2009	—	`conf`	MCMC Based Bayesian Inference for Modeling Gene Networks. PRIB Ramesh Ram, Madhu Chetty
2009	—	`conf`	Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models. PRIB Girija Chetty, Madhu Chetty
2009	—	`conf`	Novel Memetic Algorithm for Protein Structure Prediction. Australasian Conference on Artificial Intelligence Md. Kamrul Islam, Madhu Chetty
2008	—	`conf`	A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets. PRIB Chia Huey Ooi, Shyh Wei Teng, Madhu Chetty
2008	—	`conf`	Constraint Minimization for Efficient Modeling of Gene Regulatory Network. PRIB Ramesh Ram, Madhu Chetty, Dieter Bulach
2008	—	`conf`	DFS Based Partial Pathways in GA for Protein Structure Prediction. PRIB Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar
2008	—	`conf`	Generating Synthetic Gene Regulatory Networks. PRIB Ramesh Ram, Madhu Chetty
2008	J	`jnl`	Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment. Genom. Proteom. Bioinform. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2008	—	`ed.`	Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings PRIB Madhu Chetty, Alioune Ngom, Shandar Ahmad
2007	—	`conf`	A Framework for Path Analysis in Gene Regulatory Networks. PRIB Ramesh Ram, Madhu Chetty
2007	B	`conf`	A guided genetic algorithm for learning gene regulatory networks. IEEE Congress on Evolutionary Computation Ramesh Ram, Madhu Chetty
2007	J	`jnl`	Characteristics of predictor sets found using differential prioritization. Algorithms Mol. Biol. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2007	J	`jnl`	Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets. Data Min. Knowl. Discov. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2007	—	`conf`	Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. PRIB Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
2007	—	`conf`	Learning Structure of a Gene Regulatory Network. ACIS-ICIS Ramesh Ram, Madhu Chetty
2007	B	`conf`	Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. IEEE Congress on Evolutionary Computation Tamjidul Hoque, Madhu Chetty, Abdul Sattar
2006	B	`conf`	A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model. IEEE Congress on Evolutionary Computation Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
2006	—	`conf`	A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding. Australian Conference on Artificial Intelligence Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
2006	C	`conf`	Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. CIBCB Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2006	C	`conf`	Causal Modeling of Gene Regulatory Network. CIBCB Ramesh Ram, Madhu Chetty, Trevor I. Dix
2006	J	`jnl`	Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data. BMC Bioinform. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2006	B	`conf`	Fuzzy Model for Gene Regulatory Network. IEEE Congress on Evolutionary Computation Ramesh Ram, Madhu Chetty, Trevor I. Dix
2006	J	`jnl`	Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis. J. Intell. Fuzzy Syst. Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2006	—	`conf`	Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. PRIB Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2006	C	`conf`	Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. CIBCB Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley
2006	A*	`conf`	OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets. ICDM Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2005	C	`conf`	A Comparative Study of Two Novel Predictor Set Scoring Methods. IDEAL Chia Huey Ooi, Madhu Chetty
2005	—	`conf`	A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins. EvoWorkshops Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2005	B	`conf`	A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. Congress on Evolutionary Computation Tamjidul Hoque, Madhu Chetty, Laurence Dooley
2005	C	`conf`	An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction. CIBCB Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2005	—	`conf`	Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. ISBMDA Tamjidul Hoque, Madhu Chetty, Laurence Dooley
2005	—	`conf`	Evaluation of Fuzzy Measures in Profile Hidden Markov Models for Protein Sequences. ISBMDA Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2005	C	`conf`	Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis. CIBCB Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2005	—	`ch.`	Fuzzy decoding in Profile Hidden Markov Models for protein family identification. Advances in Bioinformatics and Its Applications Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman
2005	B	`conf`	Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. PAKDD Chia Huey Ooi, Madhu Chetty
2005	—	`conf`	Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data. ISBMDA Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
2005	—	`ch.`	The Role of Feature Redundancy in tumor Classification. Advances in Bioinformatics and Its Applications Chia Huey Ooi, Madhu Chetty, Iqbal Gondal
2004	C	`conf`	An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. HIS Tamjidul Hoque, Madhu Chetty, Laurence Dooley
2004	C	`conf`	Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model. HIS Tamjidul Hoque, Madhu Chetty, Laurence Dooley
2003	C	`conf`	An Incremental Constructive Layer Algorithm for Controller Design. HIS Niranjan P. Bidargaddi, Madhu Chetty
2002	Misc	`conf`	Towards a Hybrid Symbolic/Numeric Computational Approach in Controller Design. AISC Madhu Chetty
2002	J	`jnl`	Weaving computational grids: how analogous are they with electrical grids? Comput. Sci. Eng. Madhu Chetty, Rajkumar Buyya