Position Paper: Researching and Developing Open Architectures for National Health Information Systems in Developing African Countries. - Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts (FHIES, 2011)

An Architecture and Reference Implementation of an Open Health Information Mediator: Enabling Interoperability in the Rwandan Health Information Exchange. - Ryan Crichton; Deshendran Moodley; Anban W. Pillay; Richard Gakuba; Christopher J. Seebregts (FHIES, 2012)

Architectural frameworks for developing national health information systems in low and middle income countries. - Thinasagree Mudaly; Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts (ES, 2013)

An Investigation of Classification Algorithms for Predicting HIV Drug Resistance without Genotype Resistance Testing. - Pascal S. Brandt; Deshendran Moodley; Anban W. Pillay; Christopher J. Seebregts; Tulio de Oliveira (FHIES, 2013)

An Ontology for Regulating eHealth Interoperability in Developing African Countries. - Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay; Thomas Meyer 002 (FHIES, 2013)

Building Semantic Causal Models to Predict Treatment Adherence for Tuberculosis Patients in Sub-Saharan Africa. - Olukunle A. Ogundele; Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay (FHIES/SEHC, 2014)

An Ontology for Tuberculosis Treatment Adherence Behaviour. - Olukunle A. Ogundele; Deshendran Moodley; Christopher J. Seebregts; Anban W. Pillay (SAICSIT, 2015)

An Improved Generalized Regression Neural Network for Type II Diabetes Classification. - Moeketsi Ndaba; Anban W. Pillay; Absalom E. Ezugwu (ICCSA (4), 2018)

Dynamic Bayesian decision network to represent growers' adaptive pre-harvest burning decisions in a sugarcane supply chain. - C. Sue Price; Deshen Moodley; Anban W. Pillay (SAICSIT, 2018)

Using social networks to enhance a deep learning approach to solve the cold-start problem in recommender systems. - Muhammad Shoaib Ikram; Anban W. Pillay; Edgar Jembere (FAIR, 2019)

Directed curiosity-driven exploration in hard exploration, sparse reward environments. - Asad Jeewa; Anban W. Pillay; Edgar Jembere (FAIR, 2019)

Modelling uncertain adaptive decisions: Application to KwaZulu-Natal sugarcane growers. - C. Sue Price; Deshendran Moodley; Anban W. Pillay (FAIR, 2019)

Learning to Generalise in Sparse Reward Navigation Environments. - Asad Jeewa; Anban W. Pillay; Edgar Jembere (SACAIR, 2020)

Hybridized Deep Learning Architectures for Human Activity Recognition. - Bradley Joel Pillay; Anban W. Pillay; Edgar Jembere (SACAIR, 2020)

Dataset Selection for Transfer Learning in Information Retrieval. - Yastil Rughbeer; Anban W. Pillay; Edgar Jembere (SACAIR, 2020)

A system for pose analysis and selection in virtual reality environments. - Andrew Clark; Anban W. Pillay; Deshendran Moodley (SAICSIT, 2020)

Improving the accuracy of diabetes retinopathy image classification using augmentation. - Aleshan Maistry; Anban W. Pillay; Edgar Jembere (SAICSIT, 2020)

Improving the Performance of Pre-trained Systems in Sentence Retrieval. - Yastil Rughbeer; Anban W. Pillay; Edgar Jembere (FUSION, 2021)

isiZulu Word Embeddings. - Sibonelo Dlamini; Edgar Jembere; Anban W. Pillay; Brett van Niekerk (ICTAS, 2021)

A comparison of various classical optimizers for a variational quantum linear solver. - Aidan Pellow-Jarman; Ilya Sinayskiy; Anban W. Pillay; Francesco Petruccione (Quantum Inf. Process., 2021)

A Taxonomy Guided Method to Identify Metaheuristic Components. - Thimershen Achary; Anban W. Pillay (ICCS (3), 2022)

Towards Rigorous Foundations for Metaheuristic Research. - Thimershen Achary; Anban W. Pillay; Edgar Jembere (IJCCI, 2022)

An adaptive, probabilistic, cognitive agent architecture for modelling sugarcane growers' operational decision-making. - Catherine Susan Price; Deshen Moodley; Anban W. Pillay; Gavin Rens (South Afr. Comput. J., 2022)

A New Metaheuristic-Algorithm Similarity Measure Using Signal Flow Diagrams. - Thimershen Achary; Anban W. Pillay; Edgar Jembere (GECCO Companion, 2023)

Hybrid Genetic Optimisation for Quantum Feature Map Design. - Rowan Pellow-Jarman; Anban W. Pillay; Ilya Sinayskiy; Francesco Petruccione (CoRR, 2023)

Near term algorithms for linear systems of equations. - Aidan Pellow-Jarman; Ilya Sinayskiy; Anban W. Pillay; Francesco Petruccione (Quantum Inf. Process., 2023)

Classical ensembles of single-qubit quantum variational circuits for classification. - Shane McFarthing; Anban W. Pillay; Ilya Sinayskiy; Francesco Petruccione (Quantum Mach. Intell., 2024)

Hybrid genetic optimization for quantum feature map design. - Rowan Pellow-Jarman; Anban W. Pillay; Ilya Sinayskiy; Francesco Petruccione (Quantum Mach. Intell., 2024)