Andrew J. Starkey

20 papers A* 1C 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ClusterSwarm: cluster-specific feature selection using binary particle swarm optimisation.
Computing
Chinedu Pascal Ezenkwu, Andrew J. Starkey, Azwa Bin Abdul Aziz
2025 J jnl
TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization.
CoRR
Valerija Holomjova, Jamie Grech, Dewei Yi, Bruno Yun, Andrew J. Starkey, Pascal Meißner
2023 — conf
Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data?
LOD (1)
Omaimah Al Hosni, Andrew J. Starkey
2023 A* conf
GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes.
ICRA
Valerija Holomjova, Andrew J. Starkey, Pascal Meißner
2023 — conf
Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem.
ICCBDC
Omaimah Al Hosni, Andrew J. Starkey
2023 J jnl
One-Shot Learning for Task-Oriented Grasping.
IEEE Robotics Autom. Lett.
Valerija Holomjova, Andrew J. Starkey, Bruno Yun, Pascal Meißner
2023 J jnl
Real-Time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach.
IEEE Access
Sami Al Sulaimani, Andrew J. Starkey
2023 — conf
Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI.
AIAI (2)
Andrew J. Starkey, Chinedu Pascal Ezenkwu
2022 J jnl
Assesing the stability and selection performance of feature selection methods under different data complexity.
Int. Arab J. Inf. Technol.
Omaimah Al Hosni, Andrew J. Starkey
2021 J jnl
Short Text Classification Using Contextual Analysis.
IEEE Access
Sami Al Sulaimani, Andrew J. Starkey
2021 — conf
Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity.
ACIT
Omaimah Al Hosni, Andrew J. Starkey
2021 J jnl
Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning.
IEEE Trans. Cogn. Dev. Syst.
Chinedu Pascal Ezenkwu, Andrew J. Starkey
2020 J jnl
Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches.
IEEE Access
Azwa Bin Abdul Aziz, Andrew J. Starkey
2020 J jnl
Technical Opinion: From Animal Behaviour to Autonomous Robots.
CoRR
Chinedu Pascal Ezenkwu, Andrew J. Starkey
2018 J jnl
Application of feature selection methods for automated clustering analysis: a review on synthetic datasets.
Neural Comput. Appl.
Aliyu Usman Ahmad, Andrew J. Starkey
2017 — conf
Semi-automated data classification with feature weighted self organizing map.
ICNC-FSKD
Andrew J. Starkey, Aliyu Usman Ahmad
2016 C conf
Comparison of Methods for Automated Feature Selection Using a Self-organising Map.
EANN
Aliyu Usman Ahmad, Andrew J. Starkey
2015 — conf
Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions.
JIST
Andrew D. Walker, Panos Alexopoulos, Andrew J. Starkey, Jeff Z. Pan, José Manuél Gómez-Pérez, Advaith Siddharthan
2014 — conf
Making Test Corpora for Question Answering More Representative.
CLEF
Andrew D. Walker, Andrew J. Starkey, Jeff Z. Pan, Advaith Siddharthan
2011 — conf
Investigation into Human Preference between Common and Unambiguous Lexical Substitutions.
ENLG
Andrew D. Walker, Advaith Siddharthan, Andrew J. Starkey