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Sanjay Purushotham
University of Maryland Baltimore County
Latest
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
Relational Multi-Instance Learning for Concept Annotation from Medical Time Series
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
Interpretable Deep Models for ICU Outcome Prediction
Variational Recurrent Adversarial Deep Domain Adaptation
Time Series Feature Learning with Applications to Health Care
Normal / abnormal heart sound recordings classification using convolutional neural network
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
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