David Page

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1996–2023

Best venue rank

Where they publish

Papers

59 indexed papers, newest first.

Year	Venue	Title	Authors
2023	UAI	Variable importance matching for causal inference.	Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page
2021	AIME	Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.	Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
2020	ICML	CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods.	Wei Zhang, Thomas Kobber Panum, Somesh Jha, Prasad Chalasani, David Page
2020	WSDM	AutoBlock: A Hands-off Blocking Framework for Entity Matching.	Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
2019	ICML	AUCμ: A Performance Metric for Multi-Class Machine Learning Models.	Ross Kleiman, David Page
2019	ICMLA	Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered Tissues.	Finn Kuusisto, Vtor Santos Costa, Zhonggang Hou, James A. Thomson, David Page, Ron M. Stewart
2018	AMIA	Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.	Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside
2018	AMIA	Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research.	Xiayuan Huang, Robert C. Elston, John Mayer, Zhan Ye, Yuqi He, David Page, Scott J. Hebbring
2018	ICML	Temporal Poisson Square Root Graphical Models.	Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
2018	ICMLA	Recursive Feature Elimination by Sensitivity Testing.	Nicholas Sean Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James Shull, David Page
2018	UAI	Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.	Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
2017	AIME	Identifying Parkinson's Patients: A Functional Gradient Boosting Approach.	Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan
2017	IGARSS	Employing spaceborne multispectral stereo pairs and pedestrian flow modeling to support disaster response activities in urban environments.	Dave Kelbe, Devin White, David Page, Kristin Safi, Andrew Hardin, Amy N. Rose
2017	KDD	Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data.	Zhaobin Kuang, Peggy L. Peissig, Vtor Santos Costa, Richard Maclin, David Page
2016	IJCAI	Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data.	Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
2016	KDD	Computational Drug Repositioning Using Continuous Self-Controlled Case Series.	Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page
2015	AIME	Extracting Adverse Drug Events from Text Using Human Advice.	Phillip Odom, Vishal Bangera, Tushar Khot, David Page, Sriraam Natarajan
2015	AMIA	Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.	Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page
2015	CCS	Differential Privacy for Classifier Evaluation.	Kendrick Boyd, Eric Lantz, David Page
2015	CCS	Subsampled Exponential Mechanism: Differential Privacy in Large Output Spaces.	Eric Lantz, Kendrick Boyd, David Page
2014	AISTATS	Learning Heterogeneous Hidden Markov Random Fields.	Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
2014	AMIA	Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction.	Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2014	ICML	Multiple Testing under Dependence via Semiparametric Graphical Models.	Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
2013	AMIA	Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms.	Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2013	ILP	On Differentially Private Inductive Logic Programming.	Chen Zeng, Eric Lantz, Jeffrey F. Naughton, David Page
2012	AAAI	Identifying Adverse Drug Events by Relational Learning.	David Page, Vtor Santos Costa, Sriraam Natarajan, Aubrey Barnard, Peggy L. Peissig, Michael Caldwell
2012	AMIA	Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women.	Houssam Nassif, Yirong Wu, David Page, Elizabeth S. Burnside
2012	IAAI	Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.	Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
2012	ICML	Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation.	Kendrick Boyd, Jesse Davis, David Page, Vtor Santos Costa
2012	ICML	Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events.	Jesse Davis, Vtor Santos Costa, Elizabeth Berg, David Page, Peggy L. Peissig, Michael Caldwell
2012	UAI	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies.	Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2010	ILP	Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.	Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
2009	ICDM	Information Extraction for Clinical Data Mining: A Mammography Case Study.	Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page
2009	ILP	An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge.	Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page
2008	ISMB	Matching isotopic distributions from metabolically labeled samples.	Sean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman
2007	ICML	An integrated approach to feature invention and model construction for drug activity prediction.	Jesse Davis, Vtor Santos Costa, Soumya Ray, David Page
2007	IJCAI	Change of Representation for Statistical Relational Learning.	Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vtor Santos Costa
2007	ISMB	Using dynamic programming to create isotopic distribution maps from mass spectra.	Sean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman
2007	UAI	Learning Bayesian Network Structure from Correlation-Immune Data.	Eric Lantz, Soumya Ray, David Page
2005	AMIA	Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming.	Elizabeth S. Burnside, Jesse Davis, Vtor Santos Costa, Ins de Castro Dutra, Charles E. Kahn Jr., Jason Fine, David Page
2005	ICML	Multi-instance tree learning.	Hendrik Blockeel, David Page, Ashwin Srinivasan
2005	ICML	Generalized skewing for functions with continuous and nominal attributes.	Soumya Ray, David Page
2005	ICML	Why skewing works: learning difficult Boolean functions with greedy tree learners.	Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page
2005	IJCAI	View Learning for Statistical Relational Learning: With an Application to Mammography.	Jesse Davis, Elizabeth S. Burnside, Ins de Castro Dutra, David Page, Raghu Ramakrishnan, Vtor Santos Costa, Jude W. Shavlik
2005	ILP	A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment.	Hctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vtor Santos Costa
2005	KDD	Predicting cancer susceptibility from single-nucleotide polymorphism data: a case study in multiple myeloma.	Michael Waddell, David Page, John D. Shaughnessy Jr.
2004	ICML	Sequential skewing: an improved skewing algorithm.	Soumya Ray, David Page
2004	ILP	A Monte Carlo Study of Randomised Restarted Search in ILP.	Filip Zelezn, Ashwin Srinivasan, David Page
2003	EuroPar	Toward Automatic Management of Embarrassingly Parallel Applications.	Ins de Castro Dutra, David Page, Vtor Santos Costa, Jude W. Shavlik, Michael Waddell
2003	IJCAI	Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction.	David Page, Soumya Ray
2003	UAI	CLP(BN): Constraint Logic Programming for Probabilistic Knowledge.	Vtor Santos Costa, David Page, Maleeha Qazi, James Cussens
2002	ILP	An Empirical Evaluation of Bagging in Inductive Logic Programming.	Ins de Castro Dutra, David Page, Vtor Santos Costa, Jude W. Shavlik
2002	ILP	Lattice-Search Runtime Distributions May Be Heavy-Tailed.	Filip Zelezn, Ashwin Srinivasan, David Page
2002	ISMB	Modelling regulatory pathways in E. coli from time series expression profiles.	Irene M. Ong, Jeremy D. Glasner, David Page
2001	ICML	Multiple Instance Regression.	Soumya Ray, David Page
2000	ICML	Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.	Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
2000	ILP	ILP: Just Do It.	David Page
2000	ISMB	A Probabilistic Learning Approach to Whole-Genome Operon Prediction.	Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
1996	ILP	An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming.	Stephen H. Muggleton, David Page, Ashwin Srinivasan