Andrew J. Starkey

Orcid: 0000-0003-1797-8737

According to our database1, Andrew J. Starkey authored at least 18 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
One-Shot Learning for Task-Oriented Grasping.
IEEE Robotics Autom. Lett., December, 2023

Real-Time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach.
IEEE Access, 2023

Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data?
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

2022
Assesing the stability and selection performance of feature selection methods under different data complexity.
Int. Arab J. Inf. Technol., 2022

2021
Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning.
IEEE Trans. Cogn. Dev. Syst., 2021

Short Text Classification Using Contextual Analysis.
IEEE Access, 2021

Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity.
Proceedings of the 22nd International Arab Conference on Information Technology, 2021

2020
Technical Opinion: From Animal Behaviour to Autonomous Robots.
CoRR, 2020

Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches.
IEEE Access, 2020

2018
Application of feature selection methods for automated clustering analysis: a review on synthetic datasets.
Neural Comput. Appl., 2018

2017
Semi-automated data classification with feature weighted self organizing map.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Comparison of Methods for Automated Feature Selection Using a Self-organising Map.
Proceedings of the Engineering Applications of Neural Networks, 2016

2015
Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions.
Proceedings of the Semantic Technology - 5th Joint International Conference, 2015

2014
Making Test Corpora for Question Answering More Representative.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014

2011
Investigation into Human Preference between Common and Unambiguous Lexical Substitutions.
Proceedings of the ENLG 2011, 2011


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