| Deep learning for depression detection of twitter users AH Orabi, P Buddhitha, MH Orabi, D Inkpen Proceedings of the fifth workshop on computational linguistics and clinical …, 2018 | 431 | 2018 |
| Monitoring Tweets for Depression to Detect At-risk Users Z Jamil, D Inkpen, P Buddhitha, K White Proceedings of the Fourth Workshop on Computational Linguistics and Clinical …, 2017 | 126 | 2017 |
| Multi-task, multi-channel, multi-input learning for mental illness detection using social media text PK Gamaarachchige, D Inkpen Proceedings of the tenth international workshop on health text mining and …, 2019 | 36 | 2019 |
| uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning. D Inkpen, R Skaik, P Buddhitha, D Angelov, MT Fredenburgh CLEF (Working Notes), 966-980, 2021 | 16 | 2021 |
| Multi-task learning to detect suicide ideation and mental disorders among social media users P Buddhitha, D Inkpen Frontiers in research metrics and analytics 8, 1152535, 2023 | 11 | 2023 |
| A-poetic Technology.# GraphPoem and the Social Function of Computational Performance C Tanasescu, D Inkpen, V Kesarwani, PK Gamaarachchige DH Benelux Journal 2, 1-14, 2020 | 8 | 2020 |
| Multi-task learning to capture changes in mood over time PK Gamaarachchige, AH Orabi, MH Orabi, D Inkpen Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022 | 4 | 2022 |
| Dependency-based Topic-Oriented Sentiment Analysis in Microposts. P Buddhitha, D Inkpen SIMBig, 25-34, 2015 | 4 | 2015 |
| On the security and privacy of Interac e-Transfers F Willems, M Raahemi, P Buddhitha, C Adams, T Tran arXiv preprint arXiv:1910.01587, 2019 | 3 | 2019 |
| Topic-based sentiment analysis P Buddhitha, D Inkpen Annual International Symposium on Information Management and Big Data, 95-107, 2015 | 3 | 2015 |
| Mental Illness and Suicide Ideation Detection Using Social Media Data PB Kirinde Gamaarachchige Université d'Ottawa/University of Ottawa, 2021 | 1 | 2021 |
