| Self-adaptation for unsupervised domain adaptation X Cui, D Bollegala Proceedings-Natural Language Processing in a Deep Learning World, 2019 | 12 | 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, 2018 | 9* | 2018 |
| TSP: Learning task-specific pivots for unsupervised domain adaptation X Cui, F Coenen, D Bollegala Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 7 | 2017 |
| Multi-source attention for unsupervised domain adaptation X Cui, D Bollegala arXiv preprint arXiv:2004.06608, 2020 | 6 | 2020 |
| 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 |
| Solving feature sparseness in text classification using core-periphery decomposition X Cui, S Kojaku, N Masuda, D Bollegala NAACL HLT 2018-Lexical and Computational Semantics, SEM 2018, Proceedings of …, 2018 | 3 | 2018 |
| LiftUpp: Support to develop learner performance FA Oliehoek, R Savani, E Adderton, X Cui, D Jackson, P Jimmieson, ... International Conference on Artificial Intelligence in Education, 553-556, 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 | | 2021 |
| Learning Transferable Features for Unsupervised Domain Adaptation in Natural Language Processing X Cui PQDT-Global, 2020 | | 2020 |
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.comVerified email at amazon.com
