Andrew Starkey

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 26

Top Topics

Feature Selection

Multiobjective Evolutionary Algorithms

Neural Architecture

Top Venues

Publications

Andrew Starkey, Chinedu Pascal Ezenkwu
Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI. AIAI (2) (2023)
Omaimah Al Hosni, Andrew Starkey
Assesing the stability and selection performance of feature selection methods under different data complexity. Int. Arab J. Inf. Technol. 19 (3A) (2022)
Omaimah Al Hosni, Andrew Starkey
Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity. ACIT (2021)
Chinedu Pascal Ezenkwu, Andrew Starkey
Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning. IEEE Trans. Cogn. Dev. Syst. 13 (1) (2021)
Sami Al Sulaimani, Andrew Starkey
Short Text Classification Using Contextual Analysis. IEEE Access 9 (2021)
John H. Drake, Andrew Starkey, Gilbert Owusu, Edmund K. Burke
Multiobjective evolutionary algorithms for strategic deployment of resources in operational units. Eur. J. Oper. Res. 282 (2) (2020)
Lewis Veryard, Hani Hagras, Andrew Starkey, Anthony Conway, Gilbert Owusu
NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Azwa Abdul Aziz, Andrew Starkey
Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches. IEEE Access 8 (2020)
Chinedu Pascal Ezenkwu, Andrew Starkey
Technical Opinion: From Animal Behaviour to Autonomous Robots. CoRR (2020)
Lewis Veryard, Hani Hagras, Andrew Starkey, Gilbert Owusu
A Fuzzy Genetic System for Resilient Routing in Uncertain & Dynamic Telecommunication Networks. FUZZ-IEEE (2019)
Andrew Starkey, Hani Hagras, Sid Shakya, Gilbert Owusu
iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization. IEEE Trans. Fuzzy Syst. 27 (3) (2019)
Aliyu Usman Ahmad, Andrew Starkey
Application of feature selection methods for automated clustering analysis: a review on synthetic datasets. Neural Comput. Appl. 29 (7) (2018)
Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu
Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization. CEEC (2018)
Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu
A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization. FUZZ-IEEE (2018)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams. Künstliche Intell. 32 (4) (2018)
Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu
Explainable AI and Fuzzy Logic Systems. TPNC (2018)
Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu
Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization. FUZZ-IEEE (2018)
Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu
Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm. SGAI Conf. (2018)
Andrew Starkey, Hani Hagras, Sid Shakya, Gilbert Owusu
Fuzzy dominance rules for real-world many objective optimization. FUZZ-IEEE (2017)
Andrew Starkey, Aliyu Usman Ahmad
Semi-automated data classification with feature weighted self organizing map. ICNC-FSKD (2017)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A comparison of particle swarm optimization and genetic algorithms for a multi-objective Type-2 fuzzy logic based system for the optimal allocation of mobile field engineers. CEC (2016)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu, Ahmed Mohamed, Daniyal M. Al-Ghazzawi
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization. Memetic Comput. 8 (4) (2016)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization. Inf. Sci. 329 (2016)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers. FUZZ-IEEE (2016)
Aliyu Usman Ahmad, Andrew Starkey
Comparison of Methods for Automated Feature Selection Using a Self-organising Map. EANN (2016)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation. SGAI Conf. (2016)
Andrew D. Walker, Panos Alexopoulos, Andrew Starkey, Jeff Z. Pan, José Manuél Gómez-Pérez, Advaith Siddharthan
Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions. JIST (2015)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas. FUZZ-IEEE (2015)
Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu
A Genetic Algorithm Based Approach for Workforce Upskilling. SGAI Conf. (2015)
Andrew D. Walker, Andrew Starkey, Jeff Z. Pan, Advaith Siddharthan
Making Test Corpora for Question Answering More Representative. CLEF (2014)
Andrew D. Walker, Advaith Siddharthan, Andrew Starkey
Investigation into Human Preference between Common and Unambiguous Lexical Substitutions. ENLG (2011)
Andrew Starkey, David Robinson
Monte Carlo simulation of the global nitrogen cycle. CSC (2009)