Research Research groups Member of: Institute for Life Sciences Southampton Marine and Maritime Institute Vision, Learning and Control Research projects Completed projects IKNOW - Instant Knowledge EPSRC/Mobile VCE grant Researchers: Sponsor: EPSRC Complex Computational Systems Researchers: Sponsor: EPSRC GR/S23513/01 Researchers: Sponsor: EPSRC BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables Researchers: Movescapes: Behavioural Classification and Mapping of Marine Megafauna Movement Data Researchers: Publications 105 publications Page 3 of 11 The effect of physics-based corrections and data augmentation on transfer learning for segmentation of benthic imagery Jennifer Walker, Adam Prugel-Bennett, Blair Thornton & Takaki Yamada, 2019 DOI: 10.1109/UT.2019.8734463 Type: conference Automated analysis of borehole core imagery from Oman drilling project hole GT2A Jin Wei Lim, Peter Hopkinson, Michelle Harris, Blair Thornton, Adam Prugel-Bennett & Damon Teagle, 2018 Type: conference Automated interpretation of seafloor visual maps obtained using underwater robots Jin Wei Lim, Adam Prugel-Bennett & Blair Thornton, 2018 DOI: 10.1109/OCEANSKOBE.2018.8559247 Type: conference Learning to count objects in natural images for visual question answering Yan Zhang, Jonathon Hare & Adam Prügel-Bennett, 2018 Type: conference Learning in the deep: combining machine learning and automated deep-sea photography Jennifer Walker, Blair Thornton, Adam Prugel-Bennett, Veerle Huvenne & Henry Ruhl, 2018 Type: conference Tackling the small data problem in deep learning with multi-sensor approaches Iris, Caroline Kramer, Jonathon Hare & Adam Prugel-Bennett, 2017 Type: conference Automated detection of archaeology in the New Forest using deep learning with remote sensor data Iris, Caroline Kramer, Jonathon Hare, Adam Prugel-Bennett & Isabel Sargent, 2017 Type: conference A method of integrating spatial proteomics and protein-protein interaction network data Steven, Edward Squires, Robert Ewing, Adam Prugel-Bennett & Mahesan Niranjan, 2017 DOI: 10.1007/978-3-319-70139-4_79 Type: conference A future perspective for automated detection of archaeology using deep learning with remote sensor data Iris, Caroline Kramer, Jonathon Hare & Adam Prugel-Bennett, 2017 Type: conference Automation on steroids Iris, Caroline Kramer, Jonathon Hare & Adam Prugel-Bennett, 2017 Type: conference Pagination Previous page Previous 1 2 3 4 5 … Next page Next