| The Effectiveness of Transfer Learning in Electronic Health Records Data. | 0 | 0.34 | 2017 |
| Multitask Learning and Benchmarking with Clinical Time Series Data. | 18 | 0.85 | 2017 |
| The Effectiveness of Transfer Learning in Electronic Health Records Data. | 0 | 0.34 | 2017 |
| Collecting and Analyzing Millions of mHealth Data Streams | 3 | 0.39 | 2017 |
| Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge | 3 | 0.51 | 2016 |
| Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series. | 5 | 0.44 | 2016 |
| Toward Interpretable Topic Discovery via Anchored Correlation Explanation. | 2 | 0.37 | 2016 |
| Intra-day Activity Better Predicts Chronic Conditions. | 0 | 0.34 | 2016 |
| Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks | 2 | 0.37 | 2015 |
| Causal Phenotype Discovery via Deep Networks. | 5 | 0.46 | 2015 |
| Learning and Optimization with Submodular Functions | 0 | 0.34 | 2015 |
| Functional Subspace Clustering with Application to Time Series | 12 | 0.58 | 2015 |
| Learning to Diagnose with LSTM Recurrent Neural Networks | 119 | 4.03 | 2015 |
| Hierarchical Active Transfer Learning. | 4 | 0.40 | 2015 |
| An Examination of Multivariate Time Series Hashing with Applications to Health Care | 6 | 0.59 | 2014 |
| Capturing Data Analytics Expertise with Visualizations in Workflows. | 0 | 0.34 | 2013 |
| Sim•TwentyFive: an interactive visualization system for data-driven decision support. | 1 | 0.42 | 2012 |
| Unsupervised pattern discovery in electronic health care data using probabilistic clustering models | 36 | 1.97 | 2012 |
| Estimating the position of illuminants in paintings under weak model assumptions: an application to the works of two Baroque masters | 4 | 0.50 | 2009 |
