| Tweet for behavior change: using social media for the dissemination of public health messages A Gough, RF Hunter, O Ajao, A Jurek, G McKeown, J Hong, E Barrett, ... JMIR public health and surveillance 3 (1), e6313, 2017 | 267 | 2017 |
| Improved lexicon-based sentiment analysis for social media analytics A Jurek, MD Mulvenna, Y Bi Security Informatics 4, 1-13, 2015 | 223 | 2015 |
| A survey of commonly used ensemble-based classification techniques A Jurek, Y Bi, S Wu, C Nugent The Knowledge Engineering Review 29 (5), 551-581, 2014 | 103 | 2014 |
| Clustering-based ensemble learning for activity recognition in smart homes A Jurek, C Nugent, Y Bi, S Wu Sensors 14 (7), 12285-12304, 2014 | 59 | 2014 |
| A novel ensemble learning approach to unsupervised record linkage A Jurek, J Hong, Y Chi, W Liu Information Systems 71, 40-54, 2017 | 44 | 2017 |
| Improved methods to aid unsupervised evidence-based fact checking for online health news P Deka, A Jurek-Loughrey, D Padmanabhan Journal of Data Intelligence 3 (4), 474-505, 2022 | 42 | 2022 |
| A review of unsupervised and semi-supervised blocking methods for record linkage K O’Hare, A Jurek-Loughrey, C Campos Linking and Mining Heterogeneous and Multi-view Data, 79-105, 2019 | 27 | 2019 |
| The topology of data: opportunities for cancer research CF Loughrey, P Fitzpatrick, N Orr, A Jurek-Loughrey Bioinformatics 37 (19), 3091-3098, 2021 | 26 | 2021 |
| Sentiment and emotion based representations for fake reviews detection A Melleng, A Jurek-Loughrey, P Deepak Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 26 | 2019 |
| Improving naïve Bayes models of insurance risk by unsupervised classification A Jurek, D Zakrzewska 2008 International Multiconference on Computer Science and Information …, 2008 | 26 | 2008 |
| Clustering-based ensembles as an alternative to stacking A Jurek, Y Bi, S Wu, CD Nugent IEEE Transactions on Knowledge and Data Engineering 26 (9), 2120-2137, 2013 | 25 | 2013 |
| Evidence extraction to validate medical claims in fake news detection P Deka, A Jurek-Loughrey, D P International Conference on Health Information Science, 3-15, 2022 | 21 | 2022 |
| Twitter sentiment analysis for security-related information gathering A Jurek, Y Bi, M Mulvenna 2014 IEEE Joint Intelligence and Security Informatics Conference, 48-55, 2014 | 19 | 2014 |
| Classification by cluster analysis: A new meta-learning based approach A Jurek, Y Bi, S Wu, C Nugent Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples …, 2011 | 18 | 2011 |
| Privacy preserving record linkage in the presence of missing values Y Chi, J Hong, A Jurek, W Liu, D O’Reilly Information systems 71, 199-210, 2017 | 17 | 2017 |
| Semi-supervised and unsupervised approaches to record pairs classification in multi-source data linkage A Jurek-Loughrey, D P Linking and Mining Heterogeneous and Multi-view Data, 55-78, 2019 | 16 | 2019 |
| An unsupervised blocking technique for more efficient record linkage K O’Hare, A Jurek-Loughrey, C de Campos Data & Knowledge Engineering 122, 181-195, 2019 | 15 | 2019 |
| Offensive communications: Exploring the challenges involved in policing social media M Williams, M Butler, A Jurek-Loughrey, S Sezer Contemporary Social Science 16 (2), 227-240, 2021 | 13 | 2021 |
| A new technique of selecting an optimal blocking method for better record linkage K O’Hare, A Jurek, C de Campos Information Systems 77, 151-166, 2018 | 13 | 2018 |
| Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma) AR Owens, CE McInerney, KM Prise, DG McArt, A Jurek-Loughrey BMC bioinformatics 22, 1-22, 2021 | 12 | 2021 |
