David Page
Affiliations:- Duke University, Durham, NC, USA
- University of Wisconsin-Madison, Madison, USA (former)
According to our database1,
David Page
authored at least 157 papers
between 1990 and 2024.
Collaborative distances:
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Online presence:
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on cs.wisc.edu
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Bibliography
2024
Sensors, April, 2024
J. Biomed. Informatics, 2024
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.
CoRR, 2024
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
2023
CoRR, 2023
From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
2022
BMC Medical Informatics Decis. Mak., 2022
2021
Bioinform., 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit.
IBM J. Res. Dev., 2020
KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications.
F1000Research, 2020
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records.
CoRR, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Adverse drug reaction discovery from electronic health records with deep neural networks.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
2019
J. Biomed. Informatics, 2019
Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered Tissues.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Applying family analyses to electronic health records to facilitate genetic research.
Bioinform., 2018
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Quantifying predictive capability of electronic health records for the most harmful breast cancer.
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research.
Proceedings of the AMIA 2018, 2018
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Knowl. Inf. Syst., 2017
IACR Cryptol. ePrint Arch., 2017
IACR Cryptol. ePrint Arch., 2017
Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure.
F1000Research, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data.
Proceedings of the Machine Learning for Health Care Conference, 2017
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Employing spaceborne multispectral stereo pairs and pedestrian flow modeling to support disaster response activities in urban environments.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications.
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the Summit on Clinical Research Informatics, 2017
bigNN: An open-source big data toolkit focused on biomedical sentence classification.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Proceedings of the Computational Sustainability, 2016
J. Mach. Learn. Res., 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
J. Biomed. Informatics, 2015
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, 2015
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, 2015
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.
Proceedings of the AMIA 2015, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015
2014
J. Biomed. Informatics, 2014
Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing.
Proceedings of the 23rd USENIX Security Symposium, San Diego, CA, USA, August 20-22, 2014., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction.
Proceedings of the AMIA 2014, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Erratum: Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013
Proceedings of the AMIA 2013, 2013
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study.
BMC Bioinform., 2012
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.
AI Mag., 2012
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation.
Proceedings of the 29th International Conference on Machine Learning, 2012
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women.
Proceedings of the AMIA 2012, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Integrating knowledge capture and supervised learning through a human-computer interface.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011
2010
Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer.
J. Digit. Imaging, 2010
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010
Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming.
Proceedings of the ACM International Health Informatics Symposium, 2010
2009
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions.
J. Mach. Learn. Res., 2009
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
Proceedings of the ICDM Workshops 2009, 2009
2008
BMC Syst. Biol., 2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
2007
Proceedings of the UAI 2007, 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Proceedings of the IJCAI 2007, 2007
An integrated approach to feature invention and model construction for drug activity prediction.
Proceedings of the Machine Learning, 2007
2006
Mach. Learn., 2006
Proceedings of the Biocomputing 2006, 2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Predicting cancer susceptibility from single-nucleotide polymorphism data: a case study in multiple myeloma.
Proceedings of the 5th international workshop on Bioinformatics, 2005
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005
View Learning for Statistical Relational Learning: With an Application to Mammography.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming.
Proceedings of the AMIA 2005, 2005
2004
AI Mag., 2004
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004
Proceedings of the Machine Learning, 2004
2003
A Parallel Inductive Logic Programming Data Mining System for Drug Discovery.
Int. J. Comput. Their Appl., 2003
Proceedings of the UAI '03, 2003
Proceedings of the Practical Aspects of Declarative Languages, 5th International Symposium, 2003
Proceedings of the IJCAI-03, 2003
Proceedings of the Euro-Par 2003. Parallel Processing, 2003
Accelerating the Drug Design Process through Parallel Inductive Logic Programming Data Mining.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003
2002
Modelling regulatory pathways in E. coli from time series expression profiles.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
2001
Guest Editor's Introduction.
Int. J. Comput. Their Appl., 2001
Multiple Instance Regression.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
An Approach to Parallel Data Mining for Pharmacophore Discovery.
Proceedings of the ISCA 10th International Conference on Intelligent Systems, 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
1999
1998
Mach. Learn., 1998
Proceedings of the TOOLS 1998: 28th International Conference on Technology of Object-Oriented Languages and Systems, 1998
1997
1996
Proceedings of the 1996 International Conference on Object Oriented Information Systems, 1996
An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
1995
New Gener. Comput., 1995
Proceedings of the 1995 International Conference on Object Oriented Information Systems, 1995
A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees.
Proceedings of the Machine Intelligence 15, 1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
1994
Inf. Process. Lett., 1994
An Abstract Definition of Graphical Notations for Object-Oriented Information Systems.
Proceedings of the 1994 International Conference on Object Oriented Information Systems, 1994
Proceedings of the 1994 International Conference on Object Oriented Information Systems, 1994
1993
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993
1991
Generalizing Atoms in Constraint Logic.
Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991
Proceedings of the Eighth International Workshop (ML91), 1991
1990
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990