Pavitra Krishnaswamy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | EMNLP | Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations. | Zhengyuan Liu, Siti Umairah Md. Salleh, Hong Choon Oh, Pavitra Krishnaswamy, Nancy F. Chen |
| 2023 | KDD | Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. | Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy |
| 2023 | MICCAI | A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging. | Yang Yu, Jiahao Wang, Ashish Jith Sreejith Kumar, Bryan Tan, Navya Vanjavaka, Nurul Hafidzah Rahim, Alistair Koh, Shaheen Low, Yih Yian Sitoh, Hanry Yu, Pavitra Krishnaswamy, Ivan Ho Mien |
| 2022 | ICASSP | A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. | Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy |
| 2022 | MICCAI | Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. | Shafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy |
| 2022 | MICCAI | Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. | Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh |
| 2021 | ACL | Analyzing Code Embeddings for Coding Clinical Narratives. | Wei Shi, Jiewen Wu, Xiwen Yang, Nancy F. Chen, Ivan Ho Mien, Jung-Jae Kim, Pavitra Krishnaswamy |
| 2021 | MICCAI | Multimodal Multitask Deep Learning for X-Ray Image Retrieval. | Yang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy |
| 2020 | AMIA | A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. | Fatemeh Fahimi, Yang Guo, Shao Chuen Tong, Angela Ng, Hwee Koon, Sharon Ong, Yu Bing, Bryan Choo, Weiling Huang, Sheldon Lee Shao Guang, Savitha Ramasamy, Wai Leng Chow, Hong Choon Oh, Pavitra Krishnaswamy |
| 2020 | COLING | Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. | Zhengyuan Liu, Pavitra Krishnaswamy, Ai Ti Aw, Nancy F. Chen |
| 2020 | MICCAI | Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. | Xintong Li, Huijuan Yang, Zhiping Lin, Pavitra Krishnaswamy |
| 2020 | MICCAI | Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. | Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy |
| 2019 | ASRU | Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. | Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs |
| 2019 | MICCAI | Towards Practical Unsupervised Anomaly Detection on Retinal Images. | Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo |
| 2019 | NAACL | Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. | Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee Shao Guang, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen |
| 2018 | AAAI | A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. | Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng |