27 citations · 48 across the 4 of their papers we have counts for
4 papers
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
Sathvik Bhaskarpandit, Priyanka Gupta, Manik Gupta
One of the recent developments in deep learning is generalized zero-shot learning (GZSL), which aims to recognize objects from both seen and unseen classes, when only the labeled e…
Similarity Learning based Few Shot Learning for ECG Time Series Classification
Priyanka Gupta, Sathvik Bhaskarpandit, Manik Gupta
Using deep learning models to classify time series data generated from the Internet of Things (IoT) devices requires a large amount of labeled data. However, due to constrained res…
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya +2
Deep neural networks have shown promising results for various clinical prediction tasks. However, training deep networks such as those based on Recurrent Neural Networks (RNNs) req…
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig +1
Deep neural networks have shown promising results for various clinical prediction tasks such as diagnosis, mortality prediction, predicting duration of stay in hospital, etc. Howev…