Andrew Starkey

According to our database1, Andrew Starkey authored at least 28 papers between 2009 and 2021.

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Bibliography

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

2020
NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications.
Int. J. Comput. Intell. Syst., 2020

Multiobjective evolutionary algorithms for strategic deployment of resources in operational units.
Eur. J. Oper. Res., 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

2019
iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization.
IEEE Trans. Fuzzy Syst., 2019

A Fuzzy Genetic System for Resilient Routing in Uncertain & Dynamic Telecommunication Networks.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

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

A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams.
Künstliche Intell., 2018

Explainable AI and Fuzzy Logic Systems.
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm.
Proceedings of the Artificial Intelligence XXXV, 2018

Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

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

Fuzzy dominance rules for real-world many objective optimization.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization.
Memetic Comput., 2016

A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization.
Inf. Sci., 2016

A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

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

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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Genetic Algorithm Based Approach for Workforce Upskilling.
Proceedings of the Research and Development in Intelligent Systems XXXII, 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

A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 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

2009
Monte Carlo simulation of the global nitrogen cycle.
Proceedings of the 2009 International Conference on Scientific Computing, 2009


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