| Self-adaptation for unsupervised domain adaptation X Cui, D Bollegala Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 25 | 2019 |
| A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification X Cui, N Al-Bazzaz, D Bollegala, F Coenen The Knowledge Engineering Review 33, e5, 2018 | 13* | 2018 |
| Multi-source attention for unsupervised domain adaptation X Cui, D Bollegala arXiv preprint arXiv:2004.06608, 2020 | 11 | 2020 |
| Tsp: Learning task-specific pivots for unsupervised domain adaptation X Cui, F Coenen, D Bollegala Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 7 | 2017 |
| Solving feature sparseness in text classification using core-periphery decomposition X Cui, S Kojaku, N Masuda, D Bollegala Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018 | 6 | 2018 |
| Effect of data imbalance on unsupervised domain adaptation of part-of-speech tagging and pivot selection strategies X Cui, F Coenen, D Bollegala First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 4 | 2017 |
| LiftUpp: Support to develop learner performance FA Oliehoek, R Savani, E Adderton, X Cui, D Jackson, P Jimmieson, ... Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 3 | 2017 |
| Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features X Cui, A Gamage, T Hanley, T Mu InterSpeech 2021, 1569-1573, 2021 | 2 | 2021 |
| xiacui at semeval-2023 task 11: Learning a model in mixed-annotator datasets using annotator ranking scores as training weights X Cui Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
| Learning transferable features for unsupervised domain adaptation in natural language processing X Cui PQDT-Global, 2020 | 1 | 2020 |
| Data-driven or dataless? Detecting indicators of mental health difficulties and negative life events in financial resilience using prompt-based learning X Cui, T Hanley, M Choudhury, T Mu 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.com在 amazon.com 的电子邮件经过验证
