| FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval A Olteanu, J Garcia-Gathright, M de Rijke, MD Ekstrand, A Roegiest, ... ACM SIGIR Forum 53 (2), 20-43, 2021 | 51 | 2021 |
| Towards a classifier for digital sensitivity review G McDonald, C Macdonald, I Ounis, T Gollins Advances in Information Retrieval: 36th European Conference on IR Research …, 2014 | 40 | 2014 |
| Enhancing sensitivity classification with semantic features using word embeddings G McDonald, C Macdonald, I Ounis Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 39 | 2017 |
| Overview of the TREC 2022 fair ranking track MD Ekstrand, G McDonald, A Raj, I Johnson arXiv preprint arXiv:2302.05558, 2023 | 37 | 2023 |
| How the accuracy and confidence of sensitivity classification affects digital sensitivity review G Mcdonald, C Macdonald, I Ounis ACM Transactions on Information Systems (TOIS) 39 (1), 1-34, 2020 | 28 | 2020 |
| Using part-of-speech n-grams for sensitive-text classification G McDonald, C Macdonald, I Ounis Proceedings of the 2015 International conference on the theory of …, 2015 | 28 | 2015 |
| University of Glasgow at medical records track 2011: Experiments with Terrier N Limsopatham, C Macdonald, I Ounis, G McDonald, MM Bouamrane Proc. of TREC, 2011 | 22 | 2011 |
| A study of SVM kernel functions for sensitivity classification ensembles with POS sequences G McDonald, N García-Pedrajas, C Macdonald, I Ounis Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 21 | 2017 |
| On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. T Gollins, G McDonald, C Macdonald, I Ounis PIR@ SIGIR, 39-40, 2014 | 20 | 2014 |
| Search results diversification for effective fair ranking in academic search G McDonald, C Macdonald, I Ounis Information Retrieval Journal 25 (1), 1-26, 2022 | 19 | 2022 |
| Active learning strategies for technology assisted sensitivity review G McDonald, C Macdonald, I Ounis European Conference on Information Retrieval, 439-453, 2018 | 19 | 2018 |
| Active learning stopping strategies for technology-assisted sensitivity review G McDonald, C Macdonald, I Ounis Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 13 | 2020 |
| A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review G McDonald ACM SIGIR Forum 53 (1), 42-43, 2021 | 12 | 2021 |
| Tweet enrichment for effective dimensions classification in online reputation management G McDonald, R Deveaud, R McCreadie, C Macdonald, I Ounis Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 11 | 2015 |
| University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. R McCreadie, S Vargas, C MacDonald, I Ounis, S Mackie, ... TREC, 2015 | 10 | 2015 |
| Identifying chronological and coherent information threads using 5W1H questions and temporal relationships H Narvala, G McDonald, I Ounis Information Processing & Management 60 (3), 103274, 2023 | 9 | 2023 |
| The role of latent semantic categories and clustering in enhancing the efficiency of human sensitivity review H Narvala, G McDonald, I Ounis Proceedings of the 2022 Conference on Human Information Interaction and …, 2022 | 9 | 2022 |
| How sensitivity classification effectiveness impacts reviewers in technology-assisted sensitivity review G McDonald, C Macdonald, I Ounis Proceedings of the 2019 Conference on Human Information Interaction and …, 2019 | 9 | 2019 |
| McDowell and his Critics J McDowell, C Macdonald, G Mcdonald Blackwell Publishing Ltd, 2006 | 9 | 2006 |
| Receptor: A platform for exploring latent relations in sensitive documents H Narvala, G McDonald, I Ounis Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 7 | 2020 |
Iadh OunisProfessor at the University of Glasgow, School of Computing ScienceEmail verificata su glasgow.ac.uk
