| Issue Date | Title | Author(s) |
| Feb-2005 | ACORA: Distribution-Based Aggregation for Relational Learning from Identifier Attributes | Perlich, Claudia; Provost, Foster |
| Nov-2004 | Active Feature-Value Acquisition for Classifier Induction | Melville, Prem; Saar-Tsechansky, Maytal; Provost, Foster; Mooney, Raymond |
| Nov-2004 | Active Learning for Decision Making | Saar-Tsechansky, Maytal; Provost, Foster |
| 2001 | Active Sampling for Class Probability Estimation and Ranking | Saar-Tsechansky, Maytal; Provost, Foster |
| 2004 | Active Sampling for Class Probability Estimation and Ranking | Provost, Foster; Saar-Tsechansky, Maytal |
| 24-Aug-2003 | Aggregation-Based Feature Invention and Relational Concept Classes | Perlich, Claudia; Provost, Foster |
| 2004 | Classification in Networked Data: A Toolkit and a Univariate Case Study | Macskassy, Sofus; Provost, Foster |
| May-2007 | Classification in Networked Data: A Toolkit and a Univariate Case Study | Mcskassy, Sofus; Provost, Foster |
| 17-May-2007 | Collective Inference for Consumer Networks | Hill, Shawndra; Provost, Foster; Volinsky, Chris |
| 2004 | Confidence Bands for Roc Curves | Macskassy, Sofus; Provost, Foster |
| 1-Jan-2003 | Confidence Bands for ROC Curves | Macskassy, Sofus A.; Provost, Foster; Littman, Michael L. |
| Aug-2004 | Confidence Bands for ROC Curves: Methods and an Empirical Study | Macskassy, Sofus; Provost, Foster |
| Aug-2007 | Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce | Provost, Foster; Melville, Prem; Saar-Tsechansky, Maytal |
| Mar-2007 | Decision-centric Active Learning of Binary-Outcome Models | Saar-Tsechansky, Maytal; Provost, Foster |
| 27-May-2015 | Dimensionality Reduction via Matrix Factorization for Predictive Modeling from Large, Sparse Behavioral Data | Clark, Jessica; Provost, Foster |
| 7-Nov-2008 | Discover Interesting Patterns for Investment Decision Making with GLOWER - A Genetic Learner Overlaid With Entropy Reduction | Dhar, Vasant; Chou, Dashin; Provost, Foster |
| Jan-2000 | DISCOVERING INTERESTING PATTERNS FOR INVESTMENT DECISION MAKING WITH GLOWER C - A GENETIC LEARNER OVERLAID WITH ENTROPY REDUCTION | Dhar, Vasant; Chou, Dashin; Provost, Foster |
| 2002 | Discovering Knowledge from Relational Data Extracted from Business News | Bernstein, Abraham; Clearwater, Scott; Hill, Shawndra; Perlich, Claudia; Provost, Foster |
| 2002 | Discovering Knowledge from Relational Data Extracted from Business News | Bernstein, Abraham; Clearwater, Scott; Hill, Shawndra; Perlich, Claudia; Provost, Foster |
| 27-Jan-2006 | Distribution-based aggregation for relational learning with identifier attributes | Perlich, Claudia; Provost, Foster |
| Aug-2005 | Economical Active Feature-value Acquisition through Expected Utility Estimation | Melville, Prem; Saar-Tsechansky, Maytal; Mooney, Raymond; Provost, Foster |
| 27-May-2015 | Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals | Chen, Daizhuo; Fraiberger, Samuel P.; Moakler, Robert; Provost, Foster |
| 19-Jun-2013 | Estimating Audience Interest Distribution based on Audience Web Behavior | Zhang, Xiaohan; Kiril, Tsemekhman; Provost, Foster |
| 18-Oct-2012 | Evaluating and Optimizing Online Advertising: Forget the click, but
there are good proxies | Dalessandro, Brian; Hook, Rod; Perlich, Claudia; Provost, Foster |
| 19-Jun-2013 | Explaining Data-Driven Document Classifications | Martens, David; Provost, Foster |
| 15-Mar-2011 | Explaining Documents' Classifications | Martens, David; Provost, Foster |
| 18-Oct-2011 | Geo-Social Targeting for Privacy-friendly Mobile Advertising: Position Paper | Provost, Foster |
| 2008 | Get Another Label? Improving Data Quality and Data Mining | Sheng, Victor; Provost, Foster; Ipeirotis, Panagiotis |
| 6-Mar-2008 | Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers | Sheng, Victor; Provost, Foster; Ipeirotis, Panagiotis G. |
| May-2005 | The Gift of Gab: Evidence TelE-Commerce Firms Can Profit from Viral Marketing | Hill, Shawndra; Provost, Foster; Volinsky, Chris |
| Jul-2007 | Handling Missing Values when Applying Classification Models | Saar-Tsechansky, Maytal; Provost, Foster |
| 2002 | Intelligent Assistance for the Data Mining Process: An Ontology-based Approach | Bernstein, Abraham; Hill, Shawndra; Provost, Foster |
| 2002 | Intelligent Assistance for the Data Mining Process: An Ontology-based Approach | Bernstein, Abraham; Hill, Shawndra; Provost, Foster |
| 2001 | AN INTELLIGENT ASSISTANT FOR THE KNOWLEDGE DISCOVERY PROCESS | Bernstein, Abraham; Provost, Foster |
| Aug-2007 | Learning and Inference in Massive Social Networks | Hill, Shawndra; Provost, Foster; Volinsky, Chris |
| 1-Oct-2003 | Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction | Weiss, Gary; Provost, Foster |
| 17-Nov-2008 | Machine Learning from Imbalanced Data Sets 101 | Provost, Foster |
| 29-Sep-2016 | Matrix-Factorization-Based Dimensionality Reduction in the Predictive Modeling Process: A Design Science Perspective | Clark, Jessica; Provost, Foster |
| 12-Jun-2007 | Modeling Complex Networks For (Electronic) Commerce | Provost, Foster; Sundararajan, Arun |
| 1-Jun-2003 | The Myth of the Double-Blind Review? Author Identification Using Only Citations | Provost, Foster; Hill, Shawndra |
| 3-Dec-2008 | Network-Based Marketing: Identifying Likely Adopters via Consumer Networks | Hill, Shawndra; Provost, Foster; Volinsky, Chris |
| 28-Mar-2011 | Online Active Inference and Learning | Attenberg, Josh; Provost, Foster |
| 2005 | Pointwise ROC Confidence Bounds: An Empirical Evaluation | Macskassy, Sofus; Provost, Foster; Rosset, Saharon |
| 1-Jun-2003 | Predicting citation rates for physics papers: Constructing features for an ordered probit model | Perlich, Claudia; Provost, Foster; Macskassy, Sofus |
| 26-Sep-2011 | Pseudo-social network targeting from consumer transaction data | Martens, David; Provost, Foster |
| 1-Jan-2003 | The Relational Vector-space Model | Bernstein, Abraham; Clearwater, Scott; Provost, Foster |
| 10-Sep-2010 | Repeated Labeling Using Multiple Noisy Labelers | Ipeirotis, Panagiotis G.; Provost, Foster; Sheng, Victor; Wang, Jing |
| 1-Mar-2001 | Robust Classification for Imprecise Environments | Provost, Foster; Fawcett, Tom |
| 2005 | ROC Confidence Bands: An Empirical Evaluation | Macskassy, Sofus; Provost, Foster; Rosset, Saharon |
| 2005 | ROC Confidence Bands: An Empirical Study | Mcskassy, Sofus; Provost, Foster; Rosset, Saharon |
| 2004 | Simple Models and Classification in Networked Data | Macskassy, Sofus; Provost, Foster |
| 19-Nov-2008 | A Simple Relational Classifier | Provost, Foster; Macskassy, Sofus |
| 22-Oct-2008 | Social Network Collaborative Filtering | Zheng, Rong; Wilkinson, Dennis; Provost, Foster |
| 14-Sep-2007 | Social Network Collaborative Filtering | Zheng, Rong; Provost, Foster; Ghose, Anindya |
| 2005 | Suspicion scoring based on guilt-by-association, collective inference, and focused | Mcskassy, Sofus; Provost, Foster |
| 7-Nov-2008 | Telecommunications Network Diagnosis | Danyluk, Andrea; Provost, Foster; Carr, Brian |
| 22-Dec-2009 | Toward optimal allocation of human resources for active learning with
application to safe advertising | Attenberg, Josh; Provost, Foster |
| Apr-2005 | Towards Intelligent Assistance for a Data Mining Process:- | Provost, Foster; Hill, Shawndra; Bernstein, Abraham |
| 17-Nov-2008 | Tree Induction for Probability-based Ranking | Provost, Foster; Domingos, Pedro |
| 13-Dec-2001 | Tree Induction vs Logistic Regression: A Learning Curve Analysis | Perlich, Claudia; Provost, Foster; Simonoff, Jeffrey S. |
| 11-Dec-2001 | Tree Induction vs. Logistic Regression: A Learning-Curve Analysis | Perlich, Claudia; Provost, Foster; Simonoff, Jeffrey S. |
| 1-Jun-2003 | Tree Induction vs. Logistic Regression: A Learning-Curve Analysis | Perlich, Claudia; Provost, Foster; Simonoff, Jeffrey |
| 2000 | Variance-based Active Learning | Saar-Tsechansky, Maytal; Provost, Foster |
| 2005 | Viral Marketing: Identifying Likely Adopters Via Consumer Networks | Hill, Shawndra; Provost, Foster; Volinsky, Chris |
| 20-Dec-2013 | Wallenius Naive Bayes | Junque de Fortuny, Enric; Martens, David; Provost, Foster |
| 24-Oct-2016 | Who's Watching TV? | Clark, Jessica; Paiement, Jean Francois; Provost, Foster |
