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Dr John G Fennell

PhD(Bristol), BSc(Bristol)

 https://orcid.org/0000-0003-2991-3391

  • BS40 5DU

20122020

Research output per year

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Personal profile

Research interests

I am an EPSRC Innovation Fellow and principal investigator for a project concerning automatic disease detection and monitoring in calves. The project uses artificial intelligence techniques, coupled with visible-range and thermal cameras, to identify Bovine respiratory disease (BRD), the most common and costly disease affecting cattle in the world, at the earliest possible stage. I was previously a Senior Research Associate looking after the "Camouflage Machine" project, which combined machine learning, visual psychophysics and computer graphics to either optimise camouflage or maximise visibility for a range environments. As well as visual perception, my research interests lie in the areas of representation of uncertainty and behavioural decision making. I have also carried out work in the areas of locomotion, experimental aesthetics, colour and eye movements.

Structured keywords and research groupings

  • Cabot Institute Food Security Research

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Projects

Automatic thermal and behavioural monitoring for disease detection in foals

Talas, L. & Fennell, J. G.

1/04/20 → 31/03/21

Project: Research

Concealing 3D objects

Cuthill, I. C., Scott-Samuel, N. E., Baddeley, R. J., Talas, L. & Fennell, J. G.

8/06/19 → 7/06/22

Project: Research

Evolving animal camouflage using Generative Adversarial Networks to simulate antagonistic evolutionary pressures in nature

Talas, L. & Fennell, J. G.

1/01/19 → …

Project: Research

Research Output

  • 9 Article (Academic Journal)
  • 1 Conference Contribution (Conference Proceeding)

CamoGAN: Evolving optimum camouflage with Generative Adversarial Networks

Talas, L., Fennell, J., Kjernsmo, K., Cuthill, I., Scott-Samuel, N. & Baddeley, R., 1 Feb 2020, In : Methods in Ecology and Evolution. 11, 2, p. 240-247 8 p.

Research output: Contribution to journal › Article (Academic Journal)

Open Access
File
    • 326 Downloads (Pure)

    The Camouflage Machine: Optimising protective colouration using deep learning with genetic algorithms

    Fennell, J. G., Tálas, L., Baddeley, R. J., Cuthill, I. C. & Scott-Samuel, N. E., 14 Jan 2020, (Submitted) In : bioRxiv. 903484.

    Research output: Contribution to journal › Article (Academic Journal)

    • Cognitive bias in the clinical decision making of doctors

    O'Hagan, T., Fennell, J., Tan, K., Ding, D. & Thomas-Jones, I., 1 Mar 2019, Future Healthcare Journal . Supplement 1 ed. Royal College of Physicians, Vol. 6. p. 113 1 p. (Future Healthcare Journal ; vol. 6, no. Supp 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

    Open Access
    File
    • 32 Downloads (Pure)

    Datasets

    Visual Perceptual Grouping: Impact on Walking

    Redmill, D. (Creator), Burn, J. (Creator), Ludwig, C. J. H. (Creator), Leonards, U. B. (Creator), Goodwin, C. (Contributor) & Fennell, J. G. (Contributor), University of Bristol, 9 May 2015

    DOI: 10.5523/bris.7zl3gh7ipvm51hbg4zdzndqrv, http://data.bris.ac.uk/data/dataset/7zl3gh7ipvm51hbg4zdzndqrv

    Dataset

    Paving slab orientation induced veering

    Redmill, D. (Creator), Leonards, U. B. (Creator), Fennell, J. G. (Contributor), Drake, A. (Contributor), Oliva, G. (Contributor) & Ludwig, C. J. H. (Data Manager), University of Bristol, 15 May 2015

    DOI: 10.5523/bris.8jnf6kn5dj6c1ky1nrgopc3r0, http://data.bris.ac.uk/data/dataset/8jnf6kn5dj6c1ky1nrgopc3r0

    Dataset

    Supervised Work

    An expected utility theory that matches human performance

    Author: Fennell, J., 2012

    Supervisor: Baddeley, R. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

    File