An investigation of XGBoost-based algorithm for breast cancer classification XY Liew, N Hameed, J Clos Machine Learning with Applications 6, 100154, 2021 | 93 | 2021 |
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 | 33 | 2019 |
Towards Explainable Text Classification by Jointly Learning Lexicon and Modifier Terms J Clos, N Wiratunga, S Massie IJCAI Workshop on Explainable Artificial Intelligence, 2017 | 33 | 2017 |
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 | 29 | 2017 |
Predicting emotional reaction in social networks J Clos, A Bandhakavi, N Wiratunga, G Cabanac Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 24 | 2017 |
The reception of public health messages during the COVID-19 pandemic E McClaughlin, S Vilar-Lluch, T Parnell, D Knight, E Nichele, S Adolphs, ... Applied Corpus Linguistics 3 (1), 100037, 2023 | 20 | 2023 |
A review of computer-aided expert systems for breast cancer diagnosis XY Liew, N Hameed, J Clos Cancers 13 (11), 2764, 2021 | 18 | 2021 |
Deep Learning-Based Algorithm for Skin Cancer Classification MA Ismail, N Hameed, J Clos International Conference on Trends in Computational and Cognitive …, 2021 | 11 | 2021 |
Shallow techniques for argument mining J Clos, N Wiratunga, S Massie, G Cabanac 1st European Conference on Argumentation (ECA 2015) 63 (2), pp. 341-356, 2015 | 11 | 2015 |
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 |
The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK L Dowthwaite, HG Wagner, CM Babbage, JE Fischer, P Barnard, ... PLoS One 17 (10), e0276661, 2022 | 6 | 2022 |
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks K Martin, N Wiratunga, S Massie, J Clos International Conference on Innovative Techniques and Applications of …, 2018 | 5 | 2018 |
IJCAI-17 workshop on explainable AI (XAI) O Biran, C Cotton, C Brinton, J Clos, M Fox, D Long, D Magazzeni, ... | 5 | 2017 |
“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 |
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 |
Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson E McClaughlin, E Nichele, S Adolphs, P Barnard, J Clos, D Knight, ... | 4 | 2021 |
Towards argumentative opinion mining in online discussions J Clos, N Wiratunga, J Jose, S Massie, G Cabanac | 4 | 2014 |
PriPA: a tool for privacy-preserving analytics of linguistic data J Clos, E McClaughlin, P Barnard, E Nichele, D Knight, D McAuley, ... Proceedings of the Workshop on Ethical and Legal Issues in Human Language …, 2022 | 3 | 2022 |
Perceptions of the agency and responsibility of the NHS COVID-19 app on Twitter: critical discourse analysis D Heaton, E Nichele, J Clos, JE Fischer Journal of Medical Internet Research 26, e50388, 2024 | 2 | 2024 |
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 |