| Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach | 0 | 0.34 | 2021 |
| Machine Learning for Phenotyping Opioid Overdose Events. | 0 | 0.34 | 2019 |
| A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. | 1 | 0.48 | 2019 |
| Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research. | 0 | 0.34 | 2018 |
| Quantifying predictive capability of electronic health records for the most harmful breast cancer. | 0 | 0.34 | 2018 |
| Causal Structure Learning via Temporal Markov Networks. | 0 | 0.34 | 2018 |
| Temporal Poisson Square Root Graphical Models. | 0 | 0.34 | 2018 |
| Applying family analyses to electronic health records to facilitate genetic research. | 0 | 0.34 | 2018 |
| Privacy-Preserving Collaborative Prediction using Random Forests. | 0 | 0.34 | 2018 |
| Markov logic networks for adverse drug event extraction from text. | 3 | 0.37 | 2017 |
| SCCS for Detection of Differences in Brand and Generic Adverse Drug Events. | 0 | 0.34 | 2017 |
| Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. | 0 | 0.34 | 2017 |
| Bignn: An Open-Source Big Data Toolkit Focused On Biomedical Sentence Classification | 0 | 0.34 | 2017 |
| Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data. | 3 | 0.44 | 2016 |
| Differential Privacy for Classifier Evaluation | 5 | 0.43 | 2015 |
| Subsampled Exponential Mechanism: Differential Privacy in Large Output Spaces | 2 | 0.38 | 2015 |
| Learning Heterogeneous Hidden Markov Random Fields. | 0 | 0.34 | 2014 |
| Relational machine learning for electronic health record-driven phenotyping. | 13 | 0.69 | 2014 |
| Multiple Testing under Dependence via Semiparametric Graphical Models. | 1 | 0.37 | 2014 |
| Comparing the value of mammographic features and genetic variants in breast cancer risk prediction. | 1 | 0.35 | 2014 |
| Privacy in pharmacogenetics: an end-to-end case study of personalized warfarin dosing | 72 | 2.10 | 2014 |
| Support Vector Machines for Differential Prediction. | 2 | 0.39 | 2014 |
| Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling. | 2 | 0.43 | 2013 |
| Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models. | 2 | 0.40 | 2013 |
| Genetic variants improve breast cancer risk prediction on mammograms. | 0 | 0.34 | 2013 |
| Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. | 0 | 0.34 | 2012 |
| High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. | 1 | 0.36 | 2012 |
| High-Dimensional Structured Feature Screening Using Binary Markov Random Fields | 0 | 0.34 | 2012 |
| Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. | 6 | 0.72 | 2012 |
| Multiplicative Forests for Continuous-Time Processes. | 8 | 0.62 | 2012 |
| Identifying Adverse Drug Events by Relational Learning. | 5 | 0.58 | 2012 |
| A collective ranking method for genome-wide association studies | 0 | 0.34 | 2012 |
| Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. | 2 | 0.43 | 2012 |
| Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women. | 1 | 0.37 | 2012 |
| Extracting BI-RADS features from Portuguese clinical texts | 1 | 0.38 | 2012 |
| Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer. | 5 | 0.57 | 2010 |
| An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. | 4 | 0.50 | 2009 |
| CLP(BN): constraint logic programming for probabilistic knowledge | 0 | 0.34 | 2008 |
| Learning Bayesian Network Structure from Correlation-Immune Data | 0 | 0.34 | 2007 |
| Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming | 3 | 0.42 | 2006 |
| Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming | 9 | 1.14 | 2005 |
| Mode directed path finding | 10 | 0.60 | 2005 |
| An integrated approach to learning bayesian networks of rules | 29 | 1.29 | 2005 |
| The Role of Declarative Languages in Mining Biological Databases | 1 | 0.34 | 2003 |
| Skewing: an efficient alternative to lookahead for decision tree induction | 15 | 0.95 | 2003 |
| A Bayesian network approach to operon prediction. | 31 | 1.99 | 2003 |
| An empirical evaluation of bagging in inductive logic programming | 13 | 0.84 | 2002 |
| Modelling regulatory pathways in E. coli from time series expression profiles. | 84 | 8.31 | 2002 |
| Multiple Instance Regression | 49 | 4.92 | 2001 |
| Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes | 2 | 1.50 | 2000 |
