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Sankaran Narayanan
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2020 – today
- 2022
- [j3]Sankaran Narayanan, Kaivalya Mannam, Pradeep Achan, Maneesha V. Ramesh, P. Venkat Rangan, Sreeranga P. Rajan:
A contextual multi-task neural approach to medication and adverse events identification from clinical text. J. Biomed. Informatics 125: 103960 (2022) - 2021
- [j2]Sankaran Narayanan, Pradeep Achan, P. Venkat Rangan, Sreeranga P. Rajan:
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system. J. Biomed. Informatics 122: 103898 (2021) - [c6]Namrata Nair, Sankaran Narayanan, Pradeep Achan, K. P. Soman:
Clinical Note Section Identification Using Transfer Learning. ICICT (1) 2021: 533-542 - 2020
- [c5]Sankaran Narayanan, Kaivalya Mannam, Sreeranga P. Rajan, P. Venkat Rangan:
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction. ClinicalNLP@EMNLP 2020: 55-64
2010 – 2019
- 2018
- [c4]Sankaran Narayanan, Fensa Merry Saj, Kamal Bijlani, Sreeranga P. Rajan:
Automatic Assessment Item Bank Calibration for Learning Gap Identification. ICACCI 2018: 1429-1435 - [c3]R. Ajith Kumar, T. Suchith Soman, Sankaran Narayanan, Kamal Bijlani:
Hybrid Architectures for Large-Scale Blended Classrooms: A Case Study. ICCCNT 2018: 1-7 - 2017
- [c2]Sankaran Narayanan, Vamsi Sai Kommuri, N. Sethu Subramanian
, Kamal Bijlani:
Question bank calibration using unsupervised learning of assessment performance metrics. ICACCI 2017: 19-25 - [c1]Sankaran Narayanan, Vamsi Sai Kommuri, N. Sethu Subramanian
Unsupervised Learning of Question Difficulty Levels Using Assessment Responses. ICCSA (1) 2017: 543-552
2000 – 2009
- 2002
- [j1]Wenyu Jiang, Jonathan Lennox, Sankaran Narayanan, Henning Schulzrinne, Kundan Singh, Xiaotao Wu:
Integrating Internet Telephony Services. IEEE Internet Comput. 6(3): 64-72 (2002)
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