| Lexicon based feature extraction for emotion text classification A Bandhakavi, N Wiratunga, D Padmanabhan, S Massie Pattern recognition letters 93, 133-142, 2017 | 196 | 2017 |
| Lexicon generation for emotion detection from text A Bandhakavi, N Wiratunga, S Massie, D Padmanabhan IEEE intelligent systems 32 (1), 102-108, 2017 | 122 | 2017 |
| Feature selection and generalisation for retrieval of textual cases N Wiratunga, I Koychev, S Massie European Conference on Case-Based Reasoning, 806-820, 2004 | 78 | 2004 |
| Fall prediction using behavioural modelling from sensor data in smart homes G Forbes, S Massie, S Craw Artificial Intelligence Review 53 (2), 1071-1091, 2020 | 65 | 2020 |
| Learning deep features for kNN-based human activity recognition. S Sani, N Wiratunga, S Massie CEUR Workshop Proceedings, 2017 | 56 | 2017 |
| Learning deep and shallow features for human activity recognition S Sani, S Massie, N Wiratunga, K Cooper International conference on knowledge science, engineering and management …, 2017 | 53 | 2017 |
| Ontology alignment based on word embedding and random forest classification I Nkisi-Orji, N Wiratunga, S Massie, KY Hui, R Heaven Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 51 | 2019 |
| kNN sampling for personalised human activity recognition S Sani, N Wiratunga, S Massie, K Cooper Case-Based Reasoning Research and Development: 25th International Conference …, 2017 | 48 | 2017 |
| When similar problems don’t have similar solutions S Massie, S Craw, N Wiratunga Case-Based Reasoning Research and Development: 7th International Conference …, 2007 | 48 | 2007 |
| Generating a word-emotion lexicon from# emotional tweets A Bandhakavi, N Wiratunga, P Deepak, S Massie Proceedings of the third joint conference on lexical and computational …, 2014 | 46 | 2014 |
| Wifi-based human activity recognition using Raspberry Pi G Forbes, S Massie, S Craw 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 45 | 2020 |
| From anomaly reports to cases S Massie, N Wiratunga, S Craw, A Donati, E Vicari Case-Based Reasoning Research and Development: 7th International Conference …, 2007 | 44 | 2007 |
| Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems B Horsburgh, S Craw, S Massie Artificial Intelligence 219, 25-39, 2015 | 39 | 2015 |
| Towards Explainable Text Classification by Jointly Learning Lexicon and Modifier Terms SM J Clos, N Wiratunga 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 CEUR Workshop Proceedings, 2017 | 32 | 2017 |
| Informed case base maintenance: A complexity profiling approach S Craw, S Massie, N Wiratunga PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 22 (2), 1618, 2007 | 30 | 2007 |
| Unsupervised feature selection for text data N Wiratunga, R Lothian, S Massie European Conference on Case-Based Reasoning, 340-354, 2006 | 28 | 2006 |
| Complexity profiling for informed case-base editing S Massie, S Craw, N Wiratunga Advances in Case-Based Reasoning: 8th European Conference, ECCBR 2006 …, 2006 | 27 | 2006 |
| Complexity-guided case discovery for case based reasoning S Massie, S Craw, N Wiratunga AAAI 5, 216-221, 2005 | 26 | 2005 |
| Visualisation of case-base reasoning for explanation S Massie, S Craw, N Wiratunga Proceedings of the ECCBR, 135-144, 2004 | 25 | 2004 |
Nirmalie WiratungaProfessor of Computer Science, Robert Gordon UniversityVerified email at rgu.ac.uk
