A. Narayanan

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Is Connectionism Compatible with Rationalism

A. Narayanan, 1992 .

Data Mining Techniques for Modelling Seasonal Climate Effects on Grapevine Yield and Wine Quality

P. Sallis, A. Narayanan, S. Shanmuganathan, 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.

Converting Identiication Trees into Nonmonotonic Inheritance Structures

A. Narayanan, 1994 .

Hyperplanes and the Acquisition of Common Sense Reasoning

A. Narayanan, Mikael Bod, 1993 .

Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data

Edward Keedwell, Jonas Gamalielsson, Ajit Narayanan, 2005 .

Biomolecular Cognitive Science

Ajit Narayanan, A. Narayanan, 1997 .

Discovering Gene Networks with a Neural-Genetic Hybrid

Edward Keedwell, Ajit Narayanan, A. Narayanan, 2005, TCBB.

Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function.

Ajit Narayanan, Zheng Rong Yang, A. Narayanan, 2003, Bio Systems.

Data Mining Techniques for Modelling the Influence of Daily Extreme Weather Conditions on Grapevine, Wine Quality and Perennial Crop Yield

Ming Zhang, Jiajun Ren, Xiuhong Li, 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.

Is there a mind gene ?

A. Narayanan, 2007 .

COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

Cigdem Demir, Alexander Schliep, John Hawkins, 2005 .

Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research

A. Narayanan, S. Klymchuk, T. Zverkova, 2011, Trends in Teaching and Learning of Mathematical Modelling.

Gene Expression Classification using Multi-Objective Ensembles

A. Narayanan, E. Keedwell, 2009 .

Computational Emotion

A. Narayanan, J. Olsen, 2007 .

Analysing the climate variability in the wine regions of New Zealand and Chile: a GIS perspective

A. Narayanan, S. Shanmuganathan, A. P. Kuroki, 2011 .

Climate change and grape wine quality: a GIS approach to analysing New Zealand wine region

P. Sallis, A. Narayanan, S. Shanmuganathan, 2012 .

Climate change and grape wine quality: a GIS approach to analysing New Zealand wine region

P. Sallis, A. Narayanan, S. Shanmuganathan, 2012 .

Machine-Learning for Mapping and Monitoring Shallow Coral Reef Habitats

A. Narayanan, B. Bollard, Christopher Burns, 2022, Remote. Sens..

Utilizing the Neuronal Behavior of Spiking Neurons to Recognize Music Signals Based on Time Coding Features

A. Narayanan, J. I. Espinosa-Ramos, Dhvani Shah, 2022, IEEE Access.

Quantum algorithms

A. Narayanan, 2007 .

Current and Future Directions for Genetic Algorithms in DNA Array Analysis

A. Narayanan, E. Keedwell, 2004 .

A Representational Architecture for Nonmonotonic Inheritance Structures

Mikael Bodén, Ajit Narayanan, M. Bodén, 1993 .

Finite-state abstractions on Arabic morphology

Ajit Narayanan, Lama Hashem, A. Narayanan, 2004, Artificial Intelligence Review.

Solving the Traveling Salesman Problem Using Hydrological Cycle Algorithm

Jacqueline Whalley, Jacqueline L. Whalley, Ajit Narayanan, 2018 .

On a human-centred approach to database systems

Ajit Narayanan, Brian Lings, Lou Foster, 1991, AI & SOCIETY.

Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks

Ed Keedwell, Ajit Narayanan, Evangelia Nana, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

An evolutionary computational approach to phase and synchronization in biological circuits

Ed Keedwell, Ajit Narayanan, A. Narayanan, 2014, 2014 10th International Conference on Natural Computation (ICNC).

Artificial intelligence techniques for bioinformatics.

Björn Olsson, Ajit Narayanan, Edward C Keedwell, 2002, Applied bioinformatics.

Single-layer artificial neural networks for gene expression analysis

Ed Keedwell, Ajit Narayanan, Jonas Gamalielsson, 2004, Neurocomputing.

Bio-inspired data mining: Treating malware signatures as biosequences pdf

Yi Chen, Ajit Narayanan, A. Narayanan, 2013, ArXiv.

Classification and diagnostic prediction of prostate cancer using gene expression and artificial neural networks

S. S. Tirumala, A. Narayanan, A. Narayanan, 2018, Neural Computing and Applications.

Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks

Sreenivas Sremath Tirumala, A. Narayanan, S. S. Tirumala, 2016, PAKDD Workshops.

Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets

Ed Keedwell, Ajit Narayanan, David W. Corne, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Outlier detection using humoral-mediated clustering (HAIS)

Waseem Ahmad, Ajit Narayanan, Waseem Ahmad, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid

Ed Keedwell, Ajit Narayanan, A. Narayanan, 2013, Int. J. Data Min. Bioinform..

Gene expression rule discovery with a multi-objective neural-genetic hybrid

Ed Keedwell, Ajit Narayanan, A. Narayanan, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Measuring Mindfulness: Applying Generalizability Theory to Distinguish between State and Trait

Christian U. Krägeloh, A. Narayanan, R. Siegert, 2017, Mindfulness.

Quantum-inspired genetic algorithms

Ajit Narayanan, Mark Moore, A. Narayanan, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Quantum-inspired Neural Networks

Ajit Narayanan, Ajit Narayanan, Tammy Menneer, 1995 .

Quantum Sorting and Route Finding

Julia Wallace, Ajit Narayanan, A. Narayanan, 2002 .

Hydrological Cycle Algorithm for Continuous Optimization Problems

Jacqueline Whalley, Jacqueline L. Whalley, Ajit Narayanan, 2017 .

Humoral artificial immune system (HAIS) For supervised learning

Waseem Ahmad, Ajit Narayanan, Waseem Ahmad, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Can animations be safely used in court?

Ajit Narayanan, Sharon Hibbin, A. Narayanan, 2001, Artificial Intelligence and Law.

From data mining to rule refining. A new tool for post data mining rule optimisation

E. Keedwell, A. Narayanan, D. Savic, 2000, Proceedings 12th IEEE Internationals Conference on Tools with Artificial Intelligence. ICTAI 2000.

3D Vehicle Detection Using Cheap LiDAR and Camera Sensors

Ajit Narayanan, Sabeeha Mehtab, Wei Qi Yan, 2021, 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ).

Book reviews

Ajit Narayanan, Simon Ross, Andrew Eliasz, 2004, Artificial Intelligence Review.

Modelling the climate change effects on Malaysia's oil palm yield

A. Narayanan, S. Shanmuganathan, Ajit Narayanan, 2012, 2012 IEEE Symposium on E-Learning, E-Management and E-Services.

On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release

Dan Lundh, Ajit Narayanan, A. Narayanan, 2000, ANNIMAB.

Mining viral protease data to extract cleavage knowledge

Ajit Narayanan, Zheng Rong Yang, Xikun Wu, 2002, ISMB.

Discovering gene networks with a neural-genetic hybrid

Ed Keedwell, Ajit Narayanan, A. Narayanan, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network

Ajit Narayanan, William Liu, Quan Bai, 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems

Edward Keedwell, Ajit Narayanan, A. Narayanan, 2005 .

Quantum artificial neural network architectures and components

Ajit Narayanan, Tammy Menneer, A. Narayanan, 2000, Inf. Sci..

Quantum computing for beginners

Ajit Narayanan, A. Narayanan, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Book reviews

Ajit Narayanan, R. A. Cobley, Richard S. Forsyth, 1988, Artificial Intelligence Review.

Temporal Data Analysis and Mining Methods for Modelling the Climate Change Effects on Malaysia's Oil Palm Yield at Different Regional Scales

A. Narayanan, S. Shanmuganathan, Nishantha Medagoda, 2016 .

Needleman-Wunsch and Smith-Waterman Algorithms for Identifying Viral Polymorphic Malware Variants

Ajit Narayanan, Vijay Naidu, A. Narayanan, 2016, 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

Machine Ethics and Cognitive Robotics

A. Narayanan, 2023, Current Robotics Reports.

When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)? pdf

Ajit Narayanan, A. Narayanan, 2019, ArXiv.

Can Lethal Autonomous Robots Learn Ethics?

Ajit Narayanan, A. Narayanan, 2020, Australasian Conference on Artificial Intelligence.

Using Amino Acids of Images for Identifying Pornographic Images

Ajit Narayanan, Vijay Naidu, Manoranjan Mohanty, 2019, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

Exploring the Effects of Gap-Penalties in Sequence-Alignment Approach to Polymorphic Virus Detection

Jacqueline Whalley, Jacqueline L. Whalley, Vijay Naidu, 2017 .

Generating Rule-Based Signatures for Detecting Polymorphic Variants Using Data Mining and Sequence Alignment Approaches

Jacqueline Whalley, Jacqueline L. Whalley, Vijay Naidu, 2018 .

Exploring the Role of Structural Similarity in Securing Smart Metering Infrastructure

Ajit Narayanan, William Liu, Quan Bai, 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

Trust of the Same: Rethinking Trust and Reputation Management from a Structural Homophily Perspective

Ajit Narayanan, William Liu, Quan Bai, 2015, Int. J. Inf. Secur. Priv..

Hierarchical Data Classification Using Deep Neural Networks

Sreenivas Sremath Tirumala, A. Narayanan, S. S. Tirumala, 2015, ICONIP.

Siamese bayesian networks for AI based differential diagnosis

Ajit Narayanan, Nikhil S. Narayan, Monish Kaul, 2019, Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications.

Evolving rules from neural networks trained on continuous data

E. Keedwell, A. Narayanan, D. Savic, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

Data mining neural networks with genetic algor ithms

D. Savić, A. Narayanan, E. Keedwell, 2007 .

Neural Networks and Temporal Gene Expression Data

Ed Keedwell, Ajit Narayanan, A. Krishna, 2005, EvoWorkshops.

Artificial Immune System: An Effective Way to Reduce Model Overfitting

Waseem Ahmad, Ajit Narayanan, Waseem Ahmad, 2015, ICCCI.

Ethical judgement in intelligent control systems for autonomous vehicles

Ajit Narayanan, A. Narayanan, 2019, 2019 Australian & New Zealand Control Conference (ANZCC).

A Syntactic Approach for Detecting Viral Polymorphic Malware Variants

Ajit Narayanan, Vijay Naidu, A. Narayanan, 2016, PAISI.