Dr Stephen Swift

Dr Stephen Swift

Brunel University London

H-index: 25

Europe-United Kingdom

About Dr Stephen Swift

Dr Stephen Swift, With an exceptional h-index of 25 and a recent h-index of 15 (since 2020), a distinguished researcher at Brunel University London, specializes in the field of Evolutionary Computation, Data Clustering, Heuristic Search Methods, Bioinformatics, Search Based Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation

Using Clustering Ensembles and Heuristic Search to Estimate the Number of Clusters in Datasets

An “80-20” Approach to the Study of Coupling

How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis

Estimating the Optimal Number of Clusters from Subsets of Ensembles

A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis.

Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach

Intelligently Detecting Information Online-Weaponisation Trends (IDIOT)

Dr Stephen Swift Information

University

Position

UK

Citations(all)

3245

Citations(since 2020)

1185

Cited By

2567

hIndex(all)

25

hIndex(since 2020)

15

i10Index(all)

48

i10Index(since 2020)

23

Email

University Profile Page

Brunel University London

Google Scholar

View Google Scholar Profile

Dr Stephen Swift Skills & Research Interests

Evolutionary Computation

Data Clustering

Heuristic Search Methods

Bioinformatics

Search Based Software Engineering

Top articles of Dr Stephen Swift

Title

Journal

Author(s)

Publication Date

Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation

Ashley Mann

Stephen Swift

Mahir Arzoky

2024/3/3

Using Clustering Ensembles and Heuristic Search to Estimate the Number of Clusters in Datasets

Afees Adegoke Odebode

Mahir Arzoky

Allan Tucker

Ashley Mann

Faisal Maramazi

...

2023/9/7

An “80-20” Approach to the Study of Coupling

Steve Counsell

Stephen Swift

Amjed Tahir

2023/9/6

How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis

Faisal Maramazi

Afees Odebode

Ashley Mann

Stephen Swift

Mahir Arzoky

2023/9/7

Estimating the Optimal Number of Clusters from Subsets of Ensembles

A Odebode

Allan Tucker

Mahir Arzoky

Stephen Swift

2022/7/11

A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis.

bioRxiv

Ming Zhong

Jack LeBien

Marconi Campos-Cerqueira

T Mitchell Aide

Zhongqi Miao

...

2023

Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach

Mashael Al-Luhaybi

Stephen Swift

Steve Counsell

Allan Tucker

2022/12/12

Intelligently Detecting Information Online-Weaponisation Trends (IDIOT)

Fawzia Zehra Kara-Isitt

Stephen Swift

Allan Tucker

2022/9/19

Timing is Everything! A Test and Production Class View of Self-Admitted Technical Debt

Steve Counsell

Stephen Swift

2022/8/31

Uncertainty estimation in SARS-CoV-2 B-cell epitope prediction for vaccine development

Bhargab Ghoshal

Biraja Ghoshal

Stephen Swift

Allan Tucker

2021

Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules

Computational Intelligence

Leila Yousefi

Stephen Swift

Mahir Arzoky

Lucia Saachi

Luca Chiovato

...

2021/11

Where the Bugs are: A Quasi-replication Study of the Effect of Inheritance Depth and Width in Java Systems

Steve Counsell

Stephen Swift

Amjed Tahir

2021

Bayesian deep active learning for medical image analysis

Biraja Ghoshal

Stephen Swift

Allan Tucker

2021

Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective

Steve Counsell

Steve Swift

Mahir Arzoky

Giuseppe Destefanis

2020

On the link between refactoring activity and class cohesion through the prism of two cohesion-based metrics

Steve Counsell

Giuseppe Destefanis

Steve Swift

Mahir Arzoky

Davide Taibi

2020/12/11

Design of a flexible, user friendly feature matrix generation system and its application on biomedical datasets

Journal of Grid Computing

Mohammadmersad Ghorbani

Stephen Swift

Simon JE Taylor

Annette M Payne

2020/9

Using the lexicon from source code to determine application domain

Andrea Capiluppi

Nemitari Ajienka

Nour Ali

Mahir Arzoky

Steve Counsell

...

2020/4/15

On Clones and Comments in Production and Test Classes: An Empirical Study

Steve Counsell

Steve Swift

Mahir Arzoky

Giuseppe Destefnas

2020

See List of Professors in Dr Stephen Swift University(Brunel University London)