| Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding | 0 | 0.34 | 2021 |
| Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings | 1 | 0.37 | 2021 |
| Towards Robust Classification Model by Counterfactual and Invariant Data Generation | 0 | 0.34 | 2021 |
| How Interpretable and Trustworthy are GAMs? | 0 | 0.34 | 2021 |
| A comprehensive EHR timeseries pre-training benchmark. | 0 | 0.34 | 2021 |
| Patient Safety And Quality Improvement: Ethical Principles For A Regulatory Approach To Bias In Healthcare Machine Learning | 1 | 0.34 | 2020 |
| Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. | 0 | 0.34 | 2020 |
| Hidden Risks of Machine Learning Applied to Healthcare - Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. | 0 | 0.34 | 2020 |
| What went wrong and when? Instance-wise feature importance for time-series black-box models | 0 | 0.34 | 2020 |
| What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. | 1 | 0.35 | 2019 |
| Reducing Adversarial Example Transferability Using Gradient Regularization. | 1 | 0.35 | 2019 |
| The False Positive Control Lasso. | 0 | 0.34 | 2019 |
| Dr.VAE: Improving drug response prediction via modeling of drug perturbation effects. | 2 | 0.36 | 2019 |
| Explaining Image Classifiers by Counterfactual Generation. | 2 | 0.36 | 2019 |
| Bayesian Trees for Automated Cytometry Data Analysis. | 0 | 0.34 | 2019 |
| Dynamic Measurement Scheduling for Event Forecasting using Deep RL. | 1 | 0.35 | 2019 |
| Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. | 0 | 0.34 | 2018 |
| Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. | 0 | 0.34 | 2018 |
| Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples. | 0 | 0.34 | 2018 |
| Prediction of New Onset Diabetes after Liver Transplant. | 0 | 0.34 | 2018 |
| Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. | 10 | 0.70 | 2018 |
| Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. | 0 | 0.34 | 2018 |
| Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. | 0 | 0.34 | 2018 |
| Dropout Feature Ranking for Deep Learning Models. | 3 | 0.39 | 2017 |
| Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases. | 0 | 0.34 | 2017 |
| Vicus: Exploiting local structures to improve network-based analysis of biological data. | 0 | 0.34 | 2017 |
| PharmacoGx: an R package for analysis of large pharmacogenomic datasets. | 7 | 0.65 | 2016 |
| Modeling trajectories of mental health: challenges and opportunities. | 0 | 0.34 | 2016 |
| Safikhani et al. reply | 0 | 0.34 | 2016 |
| JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis | 2 | 0.37 | 2016 |
| Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms | 0 | 0.34 | 2015 |
| Subtyping: What It is and Its Role in Precision Medicine | 14 | 0.86 | 2015 |
| A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. | 6 | 0.48 | 2014 |
| Gradient-based Laplacian Feature Selection. | 0 | 0.34 | 2014 |
| EquiNMF: Graph Regularized Multiview Nonnegative Matrix Factorization. | 5 | 0.47 | 2014 |
| Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study. | 1 | 0.34 | 2012 |
| Unsupervised detection of genes of influence in lung cancer using biological networks. | 2 | 0.40 | 2011 |
| A Survey of Statistical Network Models | 180 | 8.30 | 2009 |
| Exploratory study of a new model for evolving networks | 2 | 0.47 | 2006 |
| Bayes net graphs to understand co-authorship networks? | 8 | 0.71 | 2005 |
| Tractable learning of large Bayes net structures from sparse data | 27 | 2.07 | 2004 |
| Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy | 0 | 0.34 | 2001 |
