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2020 – today
- 2020
[c10]Zhengyuan Liu, Pavitra Krishnaswamy, Ai Ti Aw, Nancy F. Chen:
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. COLING (Industry) 2020: 228-235- [c9]Xintong Li, Huijuan Yang, Zhiping Lin, Pavitra Krishnaswamy:
Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 146-154 - [c8]Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy:
Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. MICCAI (1) 2020: 624-634 - [i7]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR abs/2008.05571 (2020)
2010 – 2019
- 2019
- [c7]Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs:
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. ASRU 2019: 800-806 - [c6]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:
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI 2019: 225-234 - [c5]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:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. NAACL-HLT (2) 2019: 24-31 - [i6]Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung:
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR abs/1901.10074 (2019) - [i5]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:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. CoRR abs/1903.03530 (2019) - [i4]Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs:
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. CoRR abs/1910.07150 (2019) - [i3]Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy:
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR abs/1911.07572 (2019) - 2018
- [c4]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:
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 2018: 463-464 - [c3]Jiewen Wu, Rafael E. Banchs, Luis Fernando D'Haro, Pavitra Krishnaswamy, Nancy F. Chen:
Attention-based Semantic Priming for Slot-filling. NEWS@ACL 2018: 22-26 - [i2]Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar:
Online Deep Learning: Growing RBM on the fly. CoRR abs/1803.02043 (2018) - [i1]Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy:
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR abs/1812.07832 (2018) - 2017
- [c2]Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hämäläinen, Patrick L. Purdon:
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. AAAI Spring Symposia 2017 - 2016
- [j2]Pavitra Krishnaswamy, Giorgio Bonmassar, Catherine Poulsen, Eric T. Pierce, Patrick L. Purdon, Emery N. Brown:
Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage 128: 398-412 (2016) - 2013
- [c1]Pavitra Krishnaswamy, Giorgio Bonmassar, Patrick L. Purdon, Emery N. Brown:
Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts. EMBC 2013: 5426-5429 - 2011
- [j1]Pavitra Krishnaswamy, Emery N. Brown, Hugh M. Herr:
Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking. PLoS Comput. Biol. 7(3) (2011)
Coauthor Index
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