Ian T. Nabney

Ian T. Nabney

University of Bristol

H-index: 25

Europe-United Kingdom

About Ian T. Nabney

Ian T. Nabney, With an exceptional h-index of 25 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of statistical pattern analysis, Bayesian machine learning, data visualisation.

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

Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety-and Depression-Related Sleep Disturbances

The feasibility of using smartphone sensors to track insomnia, depression, and anxiety in adults and young adults: narrative review

Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study.

Change in COPD Assessment Test (CAT) score from a stable baseline has a high predictive capability for acute exacerbations

Interactive dense pixel visualizations for time series and model attribution explanations

Quantifying the efficacy of an automated facial coding software using videos of parents

Check for updates

A quantitative evaluation of thin slice sampling for parent–infant interactions

Ian T. Nabney Information

University

Position

Professor and Head of SCEEM

Citations(all)

3980

Citations(since 2020)

1049

Cited By

3303

hIndex(all)

25

hIndex(since 2020)

14

i10Index(all)

47

i10Index(since 2020)

16

Email

University Profile Page

University of Bristol

Google Scholar

View Google Scholar Profile

Ian T. Nabney Skills & Research Interests

statistical pattern analysis

Bayesian machine learning

data visualisation

Top articles of Ian T. Nabney

Title

Journal

Author(s)

Publication Date

Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety-and Depression-Related Sleep Disturbances

Sensors

Doaa Alamoudi

Ian Nabney

Esther Crawley

2024/1/23

The feasibility of using smartphone sensors to track insomnia, depression, and anxiety in adults and young adults: narrative review

Doaa Alamoudi

Emma Breeze

Esther Crawley

Ian Nabney

2023/2/17

Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study.

Doaa Alamoudi

Ian T Nabney

Esther Crawley

2023/2

Change in COPD Assessment Test (CAT) score from a stable baseline has a high predictive capability for acute exacerbations

Henry Glyde

Alison M Blythin

Tom M Wilkinson

Ian T Nabney

James W Dodd

2023/9/9

Interactive dense pixel visualizations for time series and model attribution explanations

Udo Schlegel

Daniel A Keim

2023

Quantifying the efficacy of an automated facial coding software using videos of parents

Frontiers in Psychology

Romana Burgess

Iryna Culpin

Ilaria Costantini

Helen Bould

Ian Nabney

2023/7/31

Check for updates

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers

Segmentation Framework via Optimal

Mass Transportation Pre-processing

Jia-Wei Liao¹

Tsung-Ming Huang

Tiexiang Li

...

2023/7/17

A quantitative evaluation of thin slice sampling for parent–infant interactions

Journal of Nonverbal Behavior

Romana Burgess

Ilaria Costantini

Marc H Bornstein

Amy Campbell

Miguel A Cordero Vega

...

2023/6

Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics

Raju Ningappa Mulawade

Christoph Garth

Alexander Wiebel

2022

A quantitative comparison of manual vs. automated facial coding using real life observations of fathers

Romana Burgess

Iryna Culpin

Helen Bould

Rebecca Pearson

Ian Nabney

2022/12/12

Exacerbation predictive modelling using real-world data from the myCOPD app

H Glyde

A Blythin

T Wilkinson

I Nabney

J Dodd

2022/9/4

MLVis 2021: Frontmatter

Daniel Archambault

Ian Nabney

Jaakko Peltonen

2021

An efficient industrial system for vehicle tyre (tire) detection and text recognition using deep learning

IEEE Transactions on Intelligent Transportation Systems

Wajahat Kazmi

Ian Nabney

George Vogiatzis

Peter Rose

Alex Codd

2020/1/24

Visual Analytics

Data science and visual computing

Rae Earnshaw

John Dill

David Kasik

Rae Earnshaw

2019

See List of Professors in Ian T. Nabney University(University of Bristol)