Paul Fergus

Paul Fergus

Liverpool John Moores University

H-index: 31

Europe-United Kingdom

About Paul Fergus

Paul Fergus, With an exceptional h-index of 31 and a recent h-index of 26 (since 2020), a distinguished researcher at Liverpool John Moores University, specializes in the field of Machine Learning, Health, Conservation.

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

An evaluation of platforms for processing camera‐trap data using artificial intelligence

Pressure Ulcer Categorisation and Reporting in Domiciliary Settings using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance

Empowering wildlife guardians: an equitable digital stewardship and reward system for biodiversity conservation using deep learning and 3/4G camera traps

Removing human bottlenecks in bird classification using camera trap images and deep learning

Comparison of Performance in Binaural Sound Source Localisation using Convolutional Neural Networks for differing Feature Representations

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network

Early vs Late Fusion in Binaural Sound Source Localisation using CNN

How AI can help to save endangered species

Paul Fergus Information

University

Position

Full Professor in Machine Learning at

Citations(all)

3328

Citations(since 2020)

2135

Cited By

2016

hIndex(all)

31

hIndex(since 2020)

26

i10Index(all)

87

i10Index(since 2020)

52

Email

University Profile Page

Liverpool John Moores University

Google Scholar

View Google Scholar Profile

Paul Fergus Skills & Research Interests

Machine Learning

Health

Conservation

Top articles of Paul Fergus

Title

Journal

Author(s)

Publication Date

An evaluation of platforms for processing camera‐trap data using artificial intelligence

Juliana Vélez

William McShea

Hila Shamon

Paula J Castiblanco‐Camacho

Michael A Tabak

...

2023/2

Pressure Ulcer Categorisation and Reporting in Domiciliary Settings using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance

IEEE Access

Paul Fergus

Carl Chalmers

William Henderson

Danny Roberts

Atif Waraich

2023/6/27

Empowering wildlife guardians: an equitable digital stewardship and reward system for biodiversity conservation using deep learning and 3/4G camera traps

Remote Sensing

Paul Fergus

Carl Chalmers

Steven Longmore

Serge Wich

Carmen Warmenhove

...

2023/5/24

Removing human bottlenecks in bird classification using camera trap images and deep learning

Remote Sensing

Carl Chalmers

Paul Fergus

Serge Wich

Steven N Longmore

Naomi Davies Walsh

...

2023/5/18

Comparison of Performance in Binaural Sound Source Localisation using Convolutional Neural Networks for differing Feature Representations

Jago T Reed-Jones

Karl O Jones

Paul Fergus

John Marsland

David L Ellis

2023/5/13

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network

IEEE Access

S Thompson

D Reilly

P Fergus

C Chalmers

2023/12/25

Early vs Late Fusion in Binaural Sound Source Localisation using CNN

International Conference on Intelligent Systems and New Applications (ICISNA'23) Proceedings Book

J Reed-Jones

J Marsland

D Ellis

P Fergus

K Jones

2023/4/30

How AI can help to save endangered species

Nature

Thompson

T.

Chalmers

C.

Muller

...

2023/11/9

Anomaly detection using autoencoder reconstruction upon industrial motors

Sensors

Sean Givnan

Carl Chalmers

Paul Fergus

Sandra Ortega-Martorell

Tom Whalley

2022/4/20

Deploying and hosting machine learning models

Paul Fergus

Carl Chalmers

2022/7/19

Deep Learning Techniques for Time Series Modelling

Paul Fergus

Carl Chalmers

2022/7/19

Pressure ulcer categorisation using deep learning: A clinical trial to evaluate model performance

arXiv preprint arXiv:2203.06248

Paul Fergus

Carl Chalmers

William Henderson

Danny Roberts

Atif Waraich

2022/3/7

Understanding external influences on target detection and classification using camera trap images and machine learning

Sensors

Sally OA Westworth

Carl Chalmers

Paul Fergus

Steven N Longmore

Alex K Piel

...

2022/7/19

Deep Generative Models

Paul Fergus

Carl Chalmers

2022/7/19

Supervised Learning

Laura Igual

Santi Seguí

2024/4/13

Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence

arXiv preprint arXiv:2202.02283

Juliana Vélez

Paula J Castiblanco-Camacho

Michael A Tabak

Carl Chalmers

Paul Fergus

...

2022/2/4

Natural language processing

Jake Vasilakes

Sicheng Zhou

Rui Zhang

2021/1/1

Introduction to Deep Learning

Advanced Deep Learning for Engineers and Scientists: A Practical Approach

R Indrakumari

T Poongodi

Kiran Singh

2021

Performance evaluation metrics

Paul Fergus

Carl Chalmers

2022/7/19

Noninvasive technologies for primate conservation in the 21st century

AK Piel

A Crunchant

IE Knot

C Chalmers

P Fergus

...

2022/2/1

See List of Professors in Paul Fergus University(Liverpool John Moores University)

Co-Authors

H-index: 80
De-Shuang Huang

De-Shuang Huang

Tongji University

H-index: 57
Volker Markl

Volker Markl

Technische Universität Berlin

H-index: 54
Stuart J. Fairclough

Stuart J. Fairclough

Edge Hill University

H-index: 44
Professor Andrew Shaw

Professor Andrew Shaw

Liverpool John Moores University

H-index: 30
Edison Pignaton de Freitas

Edison Pignaton de Freitas

Universidade Federal do Rio Grande do Sul

H-index: 28
Claudio Geyer

Claudio Geyer

Universidade Federal do Rio Grande do Sul

academic-engine