Investigation into Human Preference between Common and Unambiguous Lexical Substitutions. - Andrew D. Walker; Advaith Siddharthan; Andrew J. Starkey (ENLG, 2011)

Making Test Corpora for Question Answering More Representative. - Andrew D. Walker; Andrew J. Starkey; Jeff Z. Pan; Advaith Siddharthan (CLEF, 2014)

Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions. - Andrew D. Walker; Panos Alexopoulos; Andrew J. Starkey; Jeff Z. Pan; José Manuél Gómez-Pérez; Advaith Siddharthan (JIST, 2015)

Comparison of Methods for Automated Feature Selection Using a Self-organising Map. - Aliyu Usman Ahmad; Andrew J. Starkey (EANN, 2016)

Semi-automated data classification with feature weighted self organizing map. - Andrew J. Starkey; Aliyu Usman Ahmad (ICNC-FSKD, 2017)

Application of feature selection methods for automated clustering analysis: a review on synthetic datasets. - Aliyu Usman Ahmad; Andrew J. Starkey (Neural Comput. Appl., 2018)

Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches. - Azwa Bin Abdul Aziz; Andrew J. Starkey (IEEE Access, 2020)

Technical Opinion: From Animal Behaviour to Autonomous Robots. - Chinedu Pascal Ezenkwu; Andrew J. Starkey (CoRR, 2020)

Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity. - Omaimah Al Hosni; Andrew J. Starkey (ACIT, 2021)

Short Text Classification Using Contextual Analysis. - Sami Al Sulaimani; Andrew J. Starkey (IEEE Access, 2021)

Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning. - Chinedu Pascal Ezenkwu; Andrew J. Starkey (IEEE Trans. Cogn. Dev. Syst., 2021)

Assesing the stability and selection performance of feature selection methods under different data complexity. - Omaimah Al Hosni; Andrew J. Starkey (Int. Arab J. Inf. Technol., 2022)

Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem. - Omaimah Al Hosni; Andrew J. Starkey (ICCBDC, 2023)

GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes. - Valerija Holomjova; Andrew J. Starkey; Pascal Meißner (ICRA, 2023)

Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI. - Andrew J. Starkey; Chinedu Pascal Ezenkwu (AIAI (2), 2023)

Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data? - Omaimah Al Hosni; Andrew J. Starkey (LOD (1), 2023)

Real-Time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach. - Sami Al Sulaimani; Andrew J. Starkey (IEEE Access, 2023)

One-Shot Learning for Task-Oriented Grasping. - Valerija Holomjova; Andrew J. Starkey; Bruno Yun; Pascal Meißner (IEEE Robotics Autom. Lett., 2023)

TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization. - Valerija Holomjova; Jamie Grech; Dewei Yi; Bruno Yun; Andrew J. Starkey; Pascal Meißner (CoRR, 2025)

ClusterSwarm: cluster-specific feature selection using binary particle swarm optimisation. - Chinedu Pascal Ezenkwu; Andrew J. Starkey; Azwa Bin Abdul Aziz (Computing, 2025)