| Semeval-2016 task 6: Detecting stance in tweets S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 772 | 2016 |
| Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017 | 484 | 2017 |
| Long short-term memory over recursive structures X Zhu, P Sobihani, H Guo International conference on machine learning, 1604-1612, 2015 | 388 | 2015 |
| Detecting stance in tweets and analyzing its interaction with sentiment P Sobhani, S Mohammad, S Kiritchenko Proceedings of the fifth joint conference on lexical and computational …, 2016 | 125 | 2016 |
| A dataset for detecting stance in tweets S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 109 | 2016 |
| A dataset for multi-target stance detection P Sobhani, D Inkpen, X Zhu Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 108 | 2017 |
| From argumentation mining to stance classification P Sobhani, D Inkpen, S Matwin Proceedings of the 2nd Workshop on Argumentation Mining, 67-77, 2015 | 98 | 2015 |
| New drift detection method for data streams P Sobhani, H Beigy Adaptive and Intelligent Systems: Second International Conference, ICAIS …, 2011 | 62 | 2011 |
| Long short-term memory over tree structures X Zhu, P Sobhani, H Guo arXiv preprint arXiv:1503.04881, 2015 | 59 | 2015 |
| Dag-structured long short-term memory for semantic compositionality X Zhu, P Sobhani, H Guo Proceedings of the 2016 conference of the north american chapter of the …, 2016 | 48 | 2016 |
| Learning from imbalanced data using ensemble methods and cluster-based undersampling P Sobhani, H Viktor, S Matwin New Frontiers in Mining Complex Patterns: Third International Workshop …, 2015 | 48 | 2015 |
| Stance Detection and Analysis in Social Media P Sobhani University of Ottawa, 2017 | 27 | 2017 |
| A hybrid instance-based transfer learning method A Asgarian, P Sobhani, JC Zhang, M Mihailescu, A Sibilia, AB Ashraf, ... arXiv preprint arXiv:1812.01063, 2018 | 25 | 2018 |
| Exploring deep neural networks for multitarget stance detection P Sobhani, D Inkpen, X Zhu Computational Intelligence, 2018 | 25 | 2018 |
| Shrinking bigfoot: Reducing wav2vec 2.0 footprint Z Peng, A Budhkar, I Tuil, J Levy, P Sobhani, R Cohen, J Nassour arXiv preprint arXiv:2103.15760, 2021 | 20 | 2021 |
| Neural networks for integrating compositional and non-compositional sentiment in sentiment composition X Zhu, H Guo, P Sobhani Proceedings of the Fourth Joint Conference on Lexical and Computational …, 2015 | 13 | 2015 |
| On the trustworthiness of tree ensemble explainability methods A Yasodhara, A Asgarian, D Huang, P Sobhani Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG …, 2021 | 5 | 2021 |
| Boosting model performance through differentially private model aggregation S Collet, R Dadashi, ZN Karam, C Liu, P Sobhani, Y Vahlis, JC Zhang arXiv preprint arXiv:1811.04911, 2018 | 1 | 2018 |
| Privacy in Deployment P Thaine, P Luitjens, P Sobhani 2020 {USENIX} Conference on Privacy Engineering Practice and Respect ({PEPR} 20), 2020 | | 2020 |
| When Engineers and Lawyers Talk:{Right-Sizing} Your Data Protection Risk Profile R Bhatti, P Luitjens, P Sobhani 2020 {USENIX} Conference on Privacy Engineering Practice and Respect ({PEPR} 20), 2020 | | 2020 |
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaVerified email at queensu.ca
