Introduction to LISP. - Ajit Narayanan; Noel E. Sharkey (Ellis Horwood, 1985)

Slip intoLISP: How to choose aLISP interpreter. - Ajit Narayanan (Artif. Intell. Rev., 1986)

AI and Accountability. - Ajit Narayanan (AI Soc., 1987)

Book reviews. - S. G. Langford; Ajit Narayanan; Richard S. Forsyth; Jon Nichol; Barbara Gorayska; Colin Beardon (Artif. Intell. Rev., 1988)

Book reviews. - Stephen J. Maskell; R. A. Cobley; Leonard Bolc; Ajit Narayanan; G. H. Hall; Richard S. Forsyth; Tony Dodd 001 (Artif. Intell. Rev., 1988)

Editorial. - Ajit Narayanan (Artif. Intell. Rev., 1988)

Fodor and Pylyshyn on connectionism: an extended review and brief critique. - Ajit Narayanan (Artif. Intell. Rev., 1988)

Book reviews. - Blay Whitby; John Rosbottom; Richard S. Forsyth; S. C. Hand; Janice Clausen; Leonard Bolc; Steve Hedges; John Wolstencroft; Simon Ross; J. Garwood; Tony Dodd 001; Stephen J. Maskell; et al. (Artif. Intell. Rev., 1989)

Book review. - Ajit Narayanan (Artif. Intell. Rev., 1991)

Book reviews. - Hyacinth S. Nwana; Tony Drapkin; Tony Dodd 001; Leonard Bolc; Alan F. Smeaton; Ajit Narayanan (Artif. Intell. Rev., 1991)

On a Human-Centred Approach to Database Systems. - Brian Lings; Nat Adablah; Lou Foster; Yuanping Jin; Ajit Narayanan (AI Soc., 1991)

Law, computers and AI. - Ajit Narayanan (Artif. Intell. Rev., 1992)

On Abstract Finite-State Morphology. - Ajit Narayanan; Lama Hashem (EACL, 1993)

Finite-state abstractions on Arabic morphology. - Ajit Narayanan; Lama Hashem (Artif. Intell. Rev., 1993)

Language Visualisation: Applications and Theoretical Foundations of a Primitive-Based Approach. - Ajit Narayanan; Darrel Manuel; Lindsey Ford; Daniel James Tallis; Masoud Yazdani (Artif. Intell. Rev., 1995)

Quantum Inspired Genetic Algorithms. - Ajit Narayanan; Mark Moore (International Conference on Evolutionary Computation, 1996)

Revisable knowledge discovery in databases. - Ajit Narayanan (Int. J. Intell. Syst., 1996)

Quantum computing for beginners. - Ajit Narayanan (CEC, 1999)

On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release. - Dan Lundh; Ajit Narayanan (ANNIMAB, 2000)

Evolving rules from neural networks trained on continuous data. - Ed Keedwell; Ajit Narayanan; Dragan A. Savic (CEC, 2000)

From data mining to rule refining A new tool for post data mining rule optimisation. - Ed Keedwell; Florian Bessler; Ajit Narayanan; Dragan A. Savic (ICTAI, 2000)

Creating rules from trained networks using genetic algorithms. - Ed Keedwell; Ajit Narayanan; Dragan A. Savic (Int. J. Comput. Syst. Signals, 2000)

Quantum artificial neural network architectures and components. - Ajit Narayanan; Tammy Menneer (Inf. Sci., 2000)

Can animations be safely used in court? - Ajit Narayanan; Sharon Hibbin (Artif. Intell. Law, 2001)

All There Is to the Mind Is to Have the Right Genes, or, Consciousness as a Form of Genetic Engineering. - Ajit Narayanan (AICS, 2002)

Mining viral protease data to extract cleavage knowledge. - Ajit Narayanan; Xikun Wu; Zheng Rong Yang (ISMB, 2002)

Recognizing PROSITE Patterns with Cellular Automata. - Kim Laurio; Fredrik Linåker; Ajit Narayanan (JCIS, 2002)

Regular biosequence pattern matching with cellular automata. - Kim Laurio; Fredrik Linåker; Ajit Narayanan (Inf. Sci., 2002)

Iconic SQL: Practical Issues in the Querying of Databases through Structured Iconic Expressions. - Ajit Narayanan; T. Shaman (J. Vis. Lang. Comput., 2002)

Genetic Algorithms for Gene Expression Analysis. - Ed Keedwell; Ajit Narayanan (EvoWorkshops, 2003)

Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. - Ajit Narayanan; Evangelia Nana; Ed Keedwell (CIBCB, 2004)

Single-layer artificial neural networks for gene expression analysis. - Ajit Narayanan; Ed Keedwell; Jonas Gamalielsson; S. Tatineni (Neurocomputing, 2004)

Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets. - Thorhildur Juliusdottir; David Corne; Ed Keedwell; Ajit Narayanan (CIBCB, 2005)

Neural Networks and Temporal Gene Expression Data. - A. Krishna; Ajit Narayanan; Ed Keedwell (EvoWorkshops, 2005)

Discovering Gene Networks with a Neural-Genetic Hybrid. - Ed Keedwell; Ajit Narayanan (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Gene finding and rule discovery with a multi-objective neural-genetic hybrid. - Ed Keedwell; Ajit Narayanan (GECCO, 2007)

Gene expression rule discovery with a multi-objective neural-genetic hybrid. - Ed Keedwell; Ajit Narayanan (BIBM, 2010)

Humoral-mediated clustering. - Waseem Ahmad; Ajit Narayanan (BIC-TA, 2010)

Data Mining Techniques for Modelling Seasonal Climate Effects on Grapevine Yield and Wine Quality. - Subana Shanmuganathan; Philip Sallis; Ajit Narayanan (CICSyN, 2010)

Data Mining Techniques for Modelling the Influence of Daily Extreme Weather Conditions on Grapevine, Wine Quality and Perennial Crop Yield. - Subana Shanmuganathan; Philip Sallis; Ajit Narayanan (CICSyN, 2010)

Modelling the seasonal climate variability and its effects on vintage wines from Marlborough, NZ. - Subana Shanmuganathan; Ana Perez Kuroki; Ajit Narayanan; Philip Sallis (FSKD, 2011)

Principles and Methods of Artificial Immune System Vaccination of Learning Systems. - Waseem Ahmad; Ajit Narayanan (ICARIS, 2011)

Population-Based Artificial Immune System Clustering Algorithm. - Waseem Ahmad; Ajit Narayanan (ICARIS, 2011)

Quantum jump clustering. - Waseem Ahmad; Ajit Narayanan; Muhammad Anjum Javeed (ICNC, 2011)

A cellular automaton framework for within-field vineyard variance and grape production simulation. - Subana Shanmuganathan; Ajit Narayanan; Nick Robison (ICNC, 2011)

Real time replanning based on A* for collision avoidance in multi-robot systems. - Fan Liu; Ajit Narayanan (URAI, 2011)

Effective methods for generating collision free paths for multiple robots based on collision type (demonstration). - Fan Liu; Ajit Narayanan; Quan Bai 001 (AAMAS, 2012)

Malicioius Software Detection Using Multiple Sequence Alignment and Data Mining. - Yi Chen; Ajit Narayanan; Shaoning Pang 001; Ban Tao (AINA, 2012)

The Effects of Different Representations on Malware Motif Identification. - Ajit Narayanan; Yi Chen; Shaoning Pang 001; Ban Tao (CIS, 2012)

Multiple sequence alignment and artificial neural networks for malicious software detection. - Yi Chen; Ajit Narayanan; Shaoning Pang 001; Ban Tao (ICNC, 2012)

Outlier Detection Using humoral-Mediated Clustering (HAIS). - Waseem Ahmad; Ajit Narayanan (Int. J. Comput. Intell. Appl., 2012)

Humoral Artificial Immune System (HAIS) for Supervised Learning. - Waseem Ahmad; Ajit Narayanan (Int. J. Comput. Intell. Appl., 2012)

Roundabout collision avoidance for multiple robots based on minimum enclosing rectangle. - Fan Liu; Ajit Narayanan (AAMAS, 2013)

A Human-Inspired Collision Avoidance Method for Multi-robot and Mobile Autonomous Robots. - Fan Liu; Ajit Narayanan (PRIMA, 2013)

Society under threat... but not from AI. - Ajit Narayanan (AI Soc., 2013)

The Reliability of Big "Patient Satisfaction" Data. - Ajit Narayanan; Michael Greco; Helen Powell; Louise Coleman (Big Data, 2013)

Bio-inspired data mining: Treating malware signatures as biosequences - Ajit Narayanan; Yi Chen (CoRR, 2013)

Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid. - Ed Keedwell; Ajit Narayanan (Int. J. Data Min. Bioinform., 2013)

Further experiments in biocomputational structural analysis of malware. - Vijay Naidu; Ajit Narayanan (ICNC, 2014)

An evolutionary computational approach to phase and synchronization in biological circuits. - Ajit Narayanan; Edward C. Keedwell (ICNC, 2014)

Solving capacitated vehicle routing problem using intelligent water drops algorithm. - Ahmad F. Wedyan; Ajit Narayanan (ICNC, 2014)

Intelligent Collision Avoidance between Autonomous Agents Using Adaptive Local Views. - Fan Liu; Ajit Narayanan (PRIMA, 2014)

A Hybrid Approach to Modelling the Climate Change Effects on Malaysia's Oil Palm Yield at the Regional Scale. - Subana Shanmuganathan; Ajit Narayanan; Maryati Mohamed; Rosziati Ibrahim; Haron Khalid (SCDM, 2014)

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network. - Aminu Bello; William Liu; Quan Bai 001; Ajit Narayanan (DSDIS, 2015)

Exploring the Role of Structural Similarity in Securing Smart Metering Infrastructure. - Aminu Bello; William Liu; Quan Bai 001; Ajit Narayanan (DSDIS, 2015)

Artificial Immune System: An Effective Way to Reduce Model Overfitting. - Waseem Ahmad; Ajit Narayanan (ICCCI (1), 2015)

Trust of the Same: Rethinking Trust and Reputation Management from a Structural Homophily Perspective. - Aminu Bello; William Liu; Quan Bai 001; Ajit Narayanan (Int. J. Inf. Secur. Priv., 2015)

Using different substitution matrices in a string-matching technique for identifying viral polymorphic malware variants. - Vijay Naidu; Ajit Narayanan (CEC, 2016)

Needleman-Wunsch and Smith-Waterman Algorithms for Identifying Viral Polymorphic Malware Variants. - Vijay Naidu; Ajit Narayanan (DASC/PiCom/DataCom/CyberSciTech, 2016)

A Syntactic Approach for Detecting Viral Polymorphic Malware Variants. - Vijay Naidu; Ajit Narayanan (PAISI, 2016)

A lightweight authentication scheme for transport system farecards. - Mee-Loong Yang; Ajit Narayanan; Dave Parry; Xiumin Wang (RFID-TA, 2016)

Patient Experience of Australian General Practices. - Ajit Narayanan; Michael Greco (Big Data, 2016)

Image phylogeny for simulating multiple print-scan. - Abhimanyu Singh Garhwal; Wei Qi Yan 001; Ajit Narayanan (IVCNZ, 2017)

Time series data analysis using Artificial Immune System. - Waseem Ahmad; Ajit Narayanan (Intell. Decis. Technol., 2018)

Ethical judgement in intelligent control systems for autonomous vehicles. - Ajit Narayanan (ANZCC, 2019)

Siamese bayesian networks for AI based differential diagnosis. - Monish Kaul; Nikhil S. Narayan; Ajit Narayanan (HP3C, 2019)

Using Amino Acids of Images for Identifying Pornographic Images. - Vijay Naidu; Ajit Narayanan; Manoranjan Mohanty (MIPR, 2019)

When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)? - Ajit Narayanan (CoRR, 2019)

Action Blocks: Making Mobile Technology Accessible for People with Cognitive Disabilities. - Lia Carrari; Rain Michaels; Ajit Narayanan; Lei Shi; Xiang Xiao (ASSETS, 2020)

Exploring a Learning Architecture for General Game Playing. - Alvaro Gunawan; Ji Ruan; Michael Thielscher; Ajit Narayanan (Australasian Conference on Artificial Intelligence, 2020)

Can Lethal Autonomous Robots Learn Ethics? - Ajit Narayanan (Australasian Conference on Artificial Intelligence, 2020)

Dual Stream Network with Selective Optimization for Skin Disease Recognition in Consumer Grade Images. - Krishnam Gupta; Jaiprasad; Monu Krishnan; Ajit Narayanan; Nikhil S. Narayan (ICPR, 2020)

Zero-error rule induction using a memetic algorithm. - Ajit Narayanan; Koz Ross; Kenneth Johnson (SSCI, 2020)

Is it possible to cure Internet addiction with the Internet? - William Liu; Farhaan Mirza; Ajit Narayanan; Seng Souligna (AI Soc., 2020)

3D Vehicle Detection Using Cheap LiDAR and Camera Sensors. - Sabeeha Mehtab; Wei Qi Yan 001; Ajit Narayanan (IVCNZ, 2021)

Mobile Phone Use by People with Mild to Moderate Dementia: Uncovering Challenges and Identifying Opportunities: Mobile Phone Use by People with Mild to Moderate Dementia. - Emma Dixon; Rain Michaels; Xiang Xiao; Yu Zhong; Patrick Clary; Ajit Narayanan; Robin N. Brewer; Amanda Lazar (ASSETS, 2022)

LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia. - Steven M. Goodman; Erin Buehler; Patrick Clary; Andy Coenen; Aaron Donsbach; Tiffanie N. Horne; Michal Lahav; Robert MacDonald; Rain Breaw Michaels; Ajit Narayanan; Mahima Pushkarna; Joel Riley; et al. (ASSETS, 2022)

Context-Aware Abbreviation Expansion Using Large Language Models. - Shanqing Cai; Subhashini Venugopalan; Katrin Tomanek; Ajit Narayanan; Meredith Ringel Morris; Michael P. Brenner (NAACL-HLT, 2022)

Utilizing the Neuronal Behavior of Spiking Neurons to Recognize Music Signals Based on Time Coding Features. - Dhvani Shah; Ajit Narayanan; Josafath Israel Espinosa Ramos (IEEE Access, 2022)

Machine-Learning for Mapping and Monitoring Shallow Coral Reef Habitats. - Christopher Burns 005; Barbara Bollard; Ajit Narayanan (Remote. Sens., 2022)

Design Concept of a Mental Health Monitoring Application with Explainable Assessments. - Upeka De Silva; Samaneh Madanian; John Michael Templeton; Christian Poellabauer; Sandy Schneider; Ajit Narayanan (ACIS, 2023)

Semi-Supervised Deep Learning for Estimating Fur Seal Numbers. - Rujia Chen; Akbar Ghobakhlou; Ajit Narayanan; Matías Pérez; Roberto Orlano Chavez Oyanadel; Renato Borras-Chavez (IVCNZ, 2023)

Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. - Shanqing Cai; Subhashini Venugopalan; Katie Seaver; Xiang Xiao; Katrin Tomanek; Sri Jalasutram; Meredith Ringel Morris; Shaun K. Kane; Ajit Narayanan; Robert L. MacDonald; Emily Kornman; Daniel E. Vance; et al. (CoRR, 2023)

Machine learning and network analysis for diagnosis and prediction in disorders of consciousness. - Ajit Narayanan; Wendy L. Magee; Richard J. Siegert (BMC Medical Informatics Decis. Mak., 2023)

Investigating the Potential of User Interface Shortcuts and Control Panes to Support Mobile Phone Use by People with Mild Dementia - a Diary Study. - Emma Dixon; Xiang Xiao; Rain Breaw Michaels; Yu Zhong; Ajit Narayanan; Erin Buehler (CHI Extended Abstracts, 2024)

Dynamic-Structured Reservoir Spiking Neural Network in Sound Localization. - Zahra Roozbehi; Ajit Narayanan; Mahsa Mohaghegh; Samaneh-Alsadat Saeedinia (IEEE Access, 2024)

Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study. - Rujia Chen; Akbar Ghobakhlou; Ajit Narayanan (Frontiers Artif. Intell., 2024)

Multi-Tracking Sensor Architectures for Reconstructing Autonomous Vehicle Crashes: An Exploratory Study. - Mohammad Mahfuzul Haque; Akbar Ghobakhlou; Ajit Narayanan (Sensors, 2024)

Overlapping Shoeprint Detection by Edge Detection and Deep Learning. - Chengran Li; Ajit Narayanan; Akbar Ghobakhlou (J. Imaging, 2024)

LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models. - Steven M. Goodman; Erin Buehler; Patrick Clary; Andy Coenen; Aaron Donsbach; Tiffanie N. Horne; Michal Lahav; Robert MacDonald; Rain Breaw Michaels; Ajit Narayanan; Mahima Pushkarna; Joel Riley; et al. (Commun. ACM, 2024)

Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks. - Zahra Roozbehi; Ajit Narayanan; Mahsa Mohaghegh; Samaneh-Alsadat Saeedinia (IEEE Access, 2025)