Allan Tucker

Allan Tucker

Brunel University London

H-index: 33

Europe-United Kingdom

About Allan Tucker

Allan Tucker, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at Brunel University London, specializes in the field of Data mining, machine learning, biomedical informatics, ecoinformatics, artificial intelligence.

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

Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels

Identifying and handling data bias within primary healthcare data using synthetic data generators

Privacy Assessment of Synthetic Patient Data

The Impact of Bias on Drift Detection in AI Health Software

The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts

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

Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy:* 2022 35th International Symposium on Computer-Based Medical Systems (CBMS)

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

Allan Tucker Information

University

Position

Senior Lecturer

Citations(all)

3545

Citations(since 2020)

2124

Cited By

2218

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

77

i10Index(since 2020)

43

Email

University Profile Page

Brunel University London

Google Scholar

View Google Scholar Profile

Allan Tucker Skills & Research Interests

Data mining

machine learning

biomedical informatics

ecoinformatics

artificial intelligence

Top articles of Allan Tucker

Title

Journal

Author(s)

Publication Date

Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels

Ylenia Rotalinti

Puja Myles

Allan Tucker

2024/4/16

Identifying and handling data bias within primary healthcare data using synthetic data generators

Heliyon

Barbara Draghi

Zhenchen Wang

Puja Myles

Allan Tucker

2024/1/30

Privacy Assessment of Synthetic Patient Data

Ferdoos Hossein Nezhad

Ylenia Rotalinti

Puja Myles

Allan Tucker

2023/6/22

The Impact of Bias on Drift Detection in AI Health Software

Asal Khoshravan Azar

Barbara Draghi

Ylenia Rotalinti

Puja Myles

Allan Tucker

2023/6/5

The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts

Progress in Biomedical Engineering

Puja Myles

Johan Ordish

Allan Tucker

2023/1/24

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

Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy:* 2022 35th International Symposium on Computer-Based Medical Systems (CBMS)

Dima R Alattal

Zhenchen Wang

Puja Myles

Allan Tucker

2023/6/22

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

Detecting drift in healthcare AI models based on data availability

Ylenia Rotalinti

Allan Tucker

Michael Lonergan

Puja Myles

Richard Branson

2022/9/19

dunXai: DO-U-Net for Explainable (Multi-label) Image Classification: Applications to Biomedical Images

Toyah Overton

Allan Tucker

Tim James

Dimitar Hristozov

2022/4/7

Intelligently Detecting Information Online-Weaponisation Trends (IDIOT)

Fawzia Zehra Kara-Isitt

Stephen Swift

Allan Tucker

2022/9/19

Identifying Latent Variables in Dynamic Bayesian Networks with Bootstrapping Applied to Type 2 Diabetes Complication Prediction

Y Leila

Allan Tucker

2022/3/14

Leveraging uncertainty in deep learning for pancreatic adenocarcinoma grading

Biraja Ghoshal

Bhargab Ghoshal

Allan Tucker

2022/7/25

New JBI policy emphasizes clinically-meaningful novel machine learning methods

Journal of Biomedical Informatics

Allan Tucker

Thomas Kannampallil

Samah Jarad Fodeh

Mor Peleg

2022/3

Estimating the Optimal Number of Clusters from Subsets of Ensembles

A Odebode

Allan Tucker

Mahir Arzoky

Stephen Swift

2022/7/11

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

Harnessing large-scale herbarium image datasets through representation learning

Frontiers in plant science

Barnaby E Walker

Allan Tucker

Nicky Nicolson

2022/1/13

On calibrated model uncertainty in deep learning

arXiv preprint arXiv:2206.07795

Biraja Ghoshal

Allan Tucker

2022/6/15

Translational potential of JAX humanized APOE mice: trajectories of resilient versus susceptible aging by sex and weight

Alzheimer's & Dementia

Francesca Vitali

Jean‐Paul L Wiegand

Allan Tucker

Simona Merlini

Roberta Diaz Brinton

2022/12

Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease

ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, Septemb

John Holmes

Allan Tucker

2021/2/1

See List of Professors in Allan Tucker University(Brunel University London)