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Niranjani Prasad
Niranjani Prasad
Senior Researcher, Microsoft Research Cambridge
在 microsoft.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A reinforcement learning approach to weaning of mechanical ventilation in intensive care units
N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt
arXiv preprint arXiv:1704.06300, 2017
2162017
Scaling recurrent neural network language models
W Williams, N Prasad, D Mrva, T Ash, T Robinson
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
842015
An optimal policy for patient laboratory tests in intensive care units
LF Cheng, N Prasad, BE Engelhardt
BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 320-331, 2018
382018
Pixie: a social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa prize proceedings, 2017
142017
Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning
N Prasad, B Engelhardt, F Doshi-Velez
Proceedings of the ACM Conference on Health, Inference, and Learning, 1-9, 2020
8*2020
Methods for reinforcement learning in clinical decision support
N Prasad
Princeton University, 2020
62020
AIRIVA: a deep generative model of adaptive immune repertoires
MF Pradier, N Prasad, P Chapfuwa, S Ghalebikesabi, M Ilse, ...
Machine Learning for Healthcare Conference, 588-611, 2023
42023
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety
N Prasad, I Chien, T Regan, A Enrique, J Palacios, D Keegan, U Munir, ...
Plos one 18 (11), e0272685, 2023
32023
Guiding efficient, effective, and patient-oriented electrolyte replacement in critical care: an artificial intelligence reinforcement learning approach
N Prasad, A Mandyam, C Chivers, M Draugelis, CW Hanson III, ...
Journal of Personalized Medicine 12 (5), 661, 2022
32022
The Role of Context in the Prediction of Acute Hypotension in Critical Care
N Prasad, K Palla
SAIL: Symposium on Artificial Intelligence for Learning Health Systems 10, 2020, 2020
32020
The importance of modeling patient state in reinforcement learning for precision medicine
BE Engelhardt, N Prasad, LF Cheng, C Chivers, M Draugelis, K Li, ...
2021
Adaptive Speaker Recognition
NP CHR
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