“ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT D Heaton, E Nichele, J Clos, JE Fischer AI and Ethics, 1-23, 2024 | 1 | 2024 |
“The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter D Heaton, E Nichele, J Clos, JE Fischer Plos one 18 (7), e0288662, 2023 | 4 | 2023 |
“The ChatGPT bot is causing panic now–but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter D Heaton, J Clos, E Nichele, JE Fischer Personal and Ubiquitous Computing, 1-20, 2024 | 1 | 2024 |
“The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic D Heaton, E Nichele, J Clos, JE Fischer SN Social Sciences 3 (9), 146, 2023 | | 2023 |
A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. K Martin, N Wiratunga, S Sani, S Massie, J Clos ICCBR (Organisers), 2017 | 31 | 2017 |
A Framework of Ensemble CNN Models for Real-Time Sign Language Translation HX Chung, N Hameed, J Clos, MM Hasan 2022 14th International Conference on Software, Knowledge, Information …, 2022 | 1 | 2022 |
A Privacy-Preserving Observatory of Misinformation using Linguistic Markers J Clos, E Mcclaughlin, P Barnard, T Tom, S Yajaman Proceedings of the First International Symposium on Trustworthy Autonomous …, 2023 | | 2023 |
A review of computer-aided expert systems for breast cancer diagnosis XY Liew, N Hameed, J Clos Cancers 13 (11), 2764, 2021 | 20 | 2021 |
An investigation of XGBoost-based algorithm for breast cancer classification XY Liew, N Hameed, J Clos Machine Learning with Applications 6, 100154, 2021 | 95 | 2021 |
Benchmarking framework for machine learning classification from fNIRS data J Benerradi, J Clos, A Landowska, MF Valstar, ML Wilson | | |
Benchmarking framework for machine learning classification from fNIRS data J Benerradi, J Clos, A Landowska, MF Valstar, ML Wilson Frontiers in Neuroergonomics 4, 994969, 2023 | 1 | 2023 |
Benchmarking Framework for Machine Learning with fNIRS J Benerradi, J Clos, A Landowska, MF Valstar, ML Wilson | | 2021 |
Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic S Adolphs, D McAuley, S Vilar-Lluch, D Knight, E McClaughlin, E Nichele, ... University of Nottingham, 2023 | 2 | 2023 |
Computer-Aided Breast Cancer Diagnosis XY Liew, J Clos | | 2021 |
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses D Heaton, J Clos, E Nichele, J Fischer PeerJ Computer Science 9, e1211, 2023 | 6 | 2023 |
Deep Learning-Based Algorithm for Skin Cancer Classification MA Ismail, N Hameed, J Clos International Conference on Trends in Computational and Cognitive …, 2021 | 10 | 2021 |
Deliverable 8.2 Data Mining in the ENLIVEN Project J Clos, C Palmer | | |
Developing an automated assessment of in-session patient activation for psychological therapy: Codevelopment approach S Malins, G Figueredo, T Jilani, Y Long, J Andrews, M Rawsthorne, ... JMIR Medical Informatics 10 (11), e38168, 2022 | 4 | 2022 |
Digital twins for human-assistive robot teams in ambient assisted living J Chen, J Clos, D Price, P Caleb-Solly Proceedings of the First International Symposium on Trustworthy Autonomous …, 2023 | 1 | 2023 |
Exploring machine learning approaches for classifying mental workload using fNIRS data from HCI tasks J Benerradi, H A. Maior, A Marinescu, J Clos, M L. Wilson Proceedings of the Halfway to the Future Symposium 2019, 1-11, 2019 | 36 | 2019 |