| Inferring multimodal latent topics from electronic health records Y Li, P Nair, XH Lu, Z Wen, Y Wang, AAK Dehaghi, Y Miao, W Liu, ... Nature communications 11 (1), 2536, 2020 | 70 | 2020 |
| Group equivariant deep reinforcement learning AK Mondal, P Nair, K Siddiqi arXiv preprint arXiv:2007.03437, 2020 | 32 | 2020 |
| Global surveillance of covid-19 by mining news media using a multi-source dynamic embedded topic model Y Li, P Nair, Z Wen, I Chafi, A Okhmatovskaia, G Powell, Y Shen, ... Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 22 | 2020 |
| A scalable clustering algorithm for serendipity in recommender systems AA Deshmukh, P Nair, S Rao 2018 IEEE international conference on data mining workshops (ICDMW), 1279-1288, 2018 | 16 | 2018 |
| Mining heterogeneous clinical notes by multi-modal latent topic model Z Wen, P Nair, CY Deng, XH Lu, E Moseley, N George, C Lindvall, Y Li PloS one 16 (4), e0249622, 2021 | 8 | 2021 |
| A Faster Sampling Algorithm for Spherical -means R Pratap, A Deshmukh, P Nair, T Dutt Asian Conference on Machine Learning, 343-358, 2018 | 8 | 2018 |
| Extracting person names from user generated text: Named-entity recognition for combating human trafficking Y Li, P Nair, K Pelrine, R Rabbany Findings of the Association for Computational Linguistics: ACL 2022, 2854-2868, 2022 | 7 | 2022 |
| TRAFFICVIS: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking CF Catalina Vajiac, Duen Horng Chau, Andreas Olligschlaeger, Rebecca ... IEEE transactions on visualization and computer graphics, 2022 | 7 | 2022 |
| Scaling up simhash R Pratap, A Deshmukh, P Nair, A Ravi Asian Conference on Machine Learning, 705-720, 2020 | 3 | 2020 |
| VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking P Nair, Y Li, C Vajiac, A Olligschlaeger, MC Lee, N Park, DH Chau, ... Companion Proceedings of the Web Conference 2022, 2022 | 2 | 2022 |
| TRAFFICVIS: Fighting Human Trafficking through Visualization C Vajiac, A Olligschlaeger, Y Li, P Nair, MC Lee, N Park, R Rabbany, ... | 2 | 2021 |
| T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking P Nair, J Liu, C Vajiac, A Olligschlaeger, DH Chau, M Cazzolato, C Jones, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22276 …, 2024 | 1 | 2024 |
| Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter M Arenas, P Nair, R Rabbany, G Farnadi 15th ACM Web Science Conference 2023 (WebSci '23), April 30-May 1, 2023 …, 2023 | 1 | 2023 |
| SWEET-Weakly Supervised Person Name Extraction for Fighting Human Trafficking J Liu, H Yu, V Sujaya, P Nair, K Pelrine, R Rabbany Findings of the Association for Computational Linguistics: EMNLP 2023, 3355-3367, 2023 | | 2023 |
| [SRW] SWEET: Weakly Supervised Person Name Extraction for Fighting Human Trafficking J Liu, P Yu, V Sujaya, P Nair, K Pelrine, R Rabbany The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| TRAFFICBOARD: Digital Spatio-Temporal Pinboard for Human Trafficking Detection C Vajiac, DH Chau, A Olligschlaeger, P Nair, MC Lee, MT Cazzolato, ... | | 2023 |
| A Study on Active Learning for Graphs P Nair, Z Wen | | 2020 |
| Weakly Supervised Graph Contrastive Learning P Nair, R Rabbany | | |
| 2022 IEEE Visualization & Visual Analytics Conference E Lee-Robbins, E Adar, F Visualizations, L Padilla, R Fygenson, ... | | |
Reihaneh RabbanyAssistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, Milacs.mcgill.ca의 이메일 확인됨
