Publications: F. Provost
| Title | Year | Citations | Score |
|---|---|---|---|
|
Data Science and its Relationship to Big Data and Data-Driven Decision Making
Big Data, 2013 View Details |
2013 | 1372 | 99.9% |
|
Get another label? improving data quality and data mining using multiple, noisy labelers
Knowledge Discovery and Data Mining, 2008 View Details |
2008 | 1305 | 99.9% |
|
E-Commerce Recommendation Applications
Data mining and knowledge discovery, 2004 View Details |
2004 | 1825 | 99.9% |
|
Robust Classification for Imprecise Environments
Machine-mediated learning, 2000 View Details |
2000 | 1368 | 99.8% |
|
The Case against Accuracy Estimation for Comparing Induction Algorithms
International Conference on Machine Learning, 1998 View Details |
1998 | 1258 | 99.8% |
|
Quality management on Amazon Mechanical Turk
AAAI Conference on Human Computation & Crowdsourcing, 2010 View Details |
2010 | 1100 | 99.8% |
|
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
Journal of Artificial Intelligence Research, 2003 View Details |
2003 | 1009 | 99.7% |
|
Adaptive Fraud Detection
Data mining and knowledge discovery, 1997 View Details |
1997 | 935 | 99.7% |
|
Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions
Knowledge Discovery and Data Mining, 1997 View Details |
1997 | 899 | 99.7% |
|
Network-Based Marketing: Identifying Likely Adopters Via Consumer Networks
2006 View Details |
2006 | 618 | 99.5% |
|
Machine Learning from Imbalanced Data Sets 101
2008 View Details |
2008 | 522 | 99.5% |
|
Tree Induction for Probability-Based Ranking
Machine-mediated learning, 2003 View Details |
2003 | 605 | 99.4% |
|
Explaining Data-Driven Document Classifications
MIS Q., 2014 View Details |
2014 | 316 | 99.4% |
|
Data science for business
2013 View Details |
2013 | 293 | 99.2% |
|
The effect of class distribution on classifier learning: an empirical study
2001 View Details |
2001 | 528 | 99.2% |
|
Activity monitoring: noticing interesting changes in behavior
Knowledge Discovery and Data Mining, 1999 View Details |
1999 | 491 | 99.2% |
|
Handling Missing Values when Applying Classification Models
Journal of machine learning research, 2007 View Details |
2007 | 380 | 99.0% |
|
Efficient progressive sampling
Knowledge Discovery and Data Mining, 1999 View Details |
1999 | 406 | 98.8% |
|
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
Journal of machine learning research, 2003 View Details |
2003 | 390 | 98.8% |
|
Repeated labeling using multiple noisy labelers
Data mining and knowledge discovery, 2013 View Details |
2013 | 202 | 98.5% |
|
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions
Customer Needs and Solutions, 2017 View Details |
2017 | 162 | 98.4% |
|
Guest Editors' Introduction: On Applied Research in Machine Learning
Machine-mediated learning, 1998 View Details |
1998 | 315 | 98.3% |
|
Predictive Modeling With Big Data: Is Bigger Really Better?
Big Data, 2013 View Details |
2013 | 177 | 98.2% |
|
Machine learning for targeted display advertising: transfer learning in action
Machine-mediated learning, 2013 View Details |
2013 | 178 | 98.2% |
|
A Simple Relational Classifier
2003 View Details |
2003 | 302 | 98.1% |
|
A Survey of Methods for Scaling Up Inductive Algorithms
Data mining and knowledge discovery, 1999 View Details |
1999 | 283 | 98.0% |
|
Bid optimizing and inventory scoring in targeted online advertising
Knowledge Discovery and Data Mining, 2012 View Details |
2012 | 182 | 98.0% |
|
Combining Data Mining and Machine Learning for Effective User Profiling
Knowledge Discovery and Data Mining, 1996 View Details |
1996 | 231 | 97.6% |
|
Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification
IEEE Transactions on Knowledge and Data Engineering, 2005 View Details |
2005 | 224 | 97.4% |
|
Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics
MIS Q., 2016 View Details |
2016 | 123 | 97.4% |
|
Active Sampling for Class Probability Estimation and Ranking
Machine-mediated learning, 2004 View Details |
2004 | 224 | 97.3% |
|
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
MIS Quarterly, 2020 View Details |
2020 | 93 | 97.2% |
|
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Advances in Data Analysis and Classification, 2019 View Details |
2019 | 96 | 97.1% |
|
Beat the Machine: Challenging Humans to Find a Predictive Model's “Unknown Unknowns”
JDIQ, 2015 View Details |
2015 | 110 | 96.6% |
|
Audience selection for on-line brand advertising: privacy-friendly social network targeting
Knowledge Discovery and Data Mining, 2009 View Details |
2009 | 152 | 96.5% |
|
Research Commentary - Information in Digital, Economic, and Social Networks
Information systems research, 2013 View Details |
2013 | 107 | 95.9% |
|
Active Feature-Value Acquisition
Management Sciences, 2009 View Details |
2009 | 135 | 95.8% |
|
Causally motivated attribution for online advertising
International Workshop on Data Mining for Online Advertising, 2012 View Details |
2012 | 110 | 95.7% |
|
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
INFORMS Journal on Data Science, 2021 View Details |
2021 | 56 | 95.6% |
|
Applications of Data Mining to Electronic Commerce
Data mining and knowledge discovery, 2000 View Details |
2000 | 172 | 95.5% |
|
Robust Classification Systems for Imprecise Environments
AAAI/IAAI, 1998 View Details |
1998 | 155 | 95.4% |
|
Scaling Up: Distributed Machine Learning with Cooperation
AAAI/IAAI, Vol. 1, 1996 View Details |
1996 | 149 | 95.4% |
|
Inactive learning?: difficulties employing active learning in practice
SKDD, 2011 View Details |
2011 | 105 | 94.8% |
|
RL4: a tool for knowledge-based induction
[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990 View Details |
1990 | 113 | 94.7% |
|
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance
Knowledge Discovery and Data Mining, 2010 View Details |
2010 | 99 | 93.9% |
|
Aggregation-based feature invention and relational concept classes
Knowledge Discovery and Data Mining, 2003 View Details |
2003 | 128 | 93.6% |
|
Distribution-based aggregation for relational learning with identifier attributes
Machine-mediated learning, 2006 View Details |
2006 | 115 | 93.6% |
|
On Applied Research in Machine Learning
1998 View Details |
1998 | 118 | 93.4% |
|
Beat the Machine: Challenging Workers to Find the Unknown Unknowns
Human Computation, 2011 View Details |
2011 | 87 | 93.3% |
|
The myth of the double-blind review?: author identification using only citations
SKDD, 2003 View Details |
2003 | 123 | 93.2% |
|
Active feature-value acquisition for classifier induction
Industrial Conference on Data Mining, 2004 View Details |
2004 | 108 | 92.5% |
|
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network
International Conference on Machine Learning, 1993 View Details |
1993 | 87 | 91.9% |
|
Confidence Bands for ROC Curves: Methods and an Empirical Study
ROC Analysis in Artificial Intelligence, 2004 View Details |
2004 | 99 | 91.6% |
|
Inductive policy: The pragmatics of bias selection
Machine-mediated learning, 1995 View Details |
1995 | 81 | 90.5% |
|
Discovering Interesting Patterns for Investment Decision Making with GLOWER ☹—A Genetic Learner Overlaid with Entropy Reduction
Data mining and knowledge discovery, 2000 View Details |
2000 | 92 | 90.0% |
|
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
ECML/PKDD, 2010 View Details |
2010 | 66 | 89.8% |
|
Causal Classification: Treatment Effect vs. Outcome Prediction
Social Science Research Network, 2019 View Details |
2019 | 40 | 89.3% |
|
An expected utility approach to active feature-value acquisition
Industrial Conference on Data Mining, 2005 View Details |
2005 | 79 | 89.3% |
|
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
Big Data, 2015 View Details |
2015 | 49 | 89.2% |
|
Cost-Effective Quality Assurance in Crowd Labeling
Information systems research, 2017 View Details |
2017 | 45 | 89.2% |
|
ROC confidence bands: an empirical evaluation
International Conference on Machine Learning, 2005 View Details |
2005 | 78 | 89.2% |
|
Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design
Information systems research, 2015 View Details |
2015 | 48 | 88.9% |
|
Decision-Centric Active Learning of Binary-Outcome Models
Information systems research, 2007 View Details |
2007 | 69 | 88.6% |
|
Quality-Based Pricing for Crowdsourced Workers
2013 View Details |
2013 | 49 | 88.0% |
|
An Intelligent Assistant for the Knowledge Discovery Process
2001 View Details |
2001 | 76 | 87.8% |
|
Kdd-2001: Proceedings of the Seventh Acm Sigkdd International Conference on Knowledge Discovery and Data Mining : August 26-29, 2001 San Francisco, Ca, USA
2002 View Details |
2002 | 75 | 87.7% |
|
Scalable hands-free transfer learning for online advertising
Knowledge Discovery and Data Mining, 2014 View Details |
2014 | 44 | 87.2% |
|
Information in Digital, Economic and Social Networks
2012 View Details |
2012 | 48 | 87.1% |
|
Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals
Big Data, 2016 View Details |
2016 | 39 | 86.8% |
|
Classification in Networked Data 0 : A toolkit and a univariate case study
2006 View Details |
2006 | 62 | 86.6% |
|
Beware of "Explanations" of AI
arXiv.org, 2025 View Details |
2025 | 5 | 86.5% |
|
AI Approaches to Fraud Detection and Risk Management
The AI Magazine, 1998 View Details |
1998 | 61 | 85.8% |
|
Active Learning for Class Probability Estimation and Ranking
International Joint Conference on Artificial Intelligence, 2001 View Details |
2001 | 62 | 85.0% |
|
Design principles of massive, robust prediction systems
Knowledge Discovery and Data Mining, 2012 View Details |
2012 | 40 | 84.3% |
|
Corporate residence fraud detection
Knowledge Discovery and Data Mining, 2014 View Details |
2014 | 35 | 83.5% |
|
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising
Knowledge Discovery and Data Mining, 2015 View Details |
2015 | 32 | 82.5% |
|
Economical active feature-value acquisition through Expected Utility estimation
UBDM '05, 2005 View Details |
2005 | 48 | 82.3% |
|
Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
Intelligent Systems in Molecular Biology, 1994 View Details |
1994 | 41 | 81.8% |
|
Suspicion scoring based on guilt-by-association, colle ctive inference, and focused data access 1
2005 View Details |
2005 | 45 | 81.2% |
|
Distributed Data Mining: Scaling up and beyond
2000 View Details |
2000 | 49 | 81.2% |
|
Social Network Collaborative Filtering
2008 View Details |
2008 | 39 | 80.9% |
|
Exploiting Background Knowledge in Automated Discovery
Knowledge Discovery and Data Mining, 1996 View Details |
1996 | 41 | 80.6% |
|
Pseudo-social network targeting from consumer transaction data
2011 View Details |
2011 | 33 | 80.0% |
|
Inductive Policy
AAAI Conference on Artificial Intelligence, 1992 View Details |
1992 | 35 | 79.9% |
|
Intelligent information triage
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001 View Details |
2001 | 44 | 79.5% |
|
A Survey of Methods for Scaling Up Inductive Learning Algorithms
1997 View Details |
1997 | 40 | 79.5% |
|
The Relational Vector-space Model and Industry Classification
2003 View Details |
2003 | 43 | 79.2% |
|
Fraud detection
2002 View Details |
2002 | 43 | 79.2% |
|
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation
Information systems research, 2020 View Details |
2020 | 20 | 78.2% |
|
Confidence Bands for Roc Curves
2003 View Details |
2003 | 39 | 77.5% |
|
Using co-visitation networks for detecting large scale online display advertising exchange fraud
Knowledge Discovery and Data Mining, 2013 View Details |
2013 | 26 | 77.5% |
|
Distributed Fault Tolerant Embedding of Binary Trees and Rings in Hypercubes
1989 View Details |
1989 | 27 | 76.9% |
|
Big Data, Data Science, and Civil Rights
arXiv.org, 2017 View Details |
2017 | 22 | 76.6% |
|
A benchmarking study of classification techniques for behavioral data
International Journal of Data Science and Analysis, 2019 View Details |
2019 | 19 | 75.7% |
|
Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
INFORMS Journal on Data Science, 2025 View Details |
2025 | 3 | 75.4% |
|
Suspicion scoring of networked entities based on guilt-by-association, collective inference, and focused data access 1
2005 View Details |
2005 | 32 | 75.3% |
|
Tree induction vs. logistic regression: a learning-curve analysis
2003 View Details |
2003 | 34 | 75.1% |
|
Authors' Response to Gong's, “Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making”
Big Data, 2014 View Details |
2014 | 22 | 75.0% |
|
Discovering Knowledge from Relational Data Extracted from Business News
2002 View Details |
2002 | 33 | 74.4% |
|
Towards Intelligent Assistance for a Data Mining Process
2005 View Details |
2005 | 30 | 74.1% |
|
Intelligent Assistance for the Data Mining Process: an Ontology-Based Approach
2002 View Details |
2002 | 32 | 73.9% |
|
Scaling Up Inductive Algorithms: An Overview
Knowledge Discovery and Data Mining, 1997 View Details |
1997 | 29 | 73.5% |
|
A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring
SNA@ICML, 2006 View Details |
2006 | 28 | 73.3% |
|
Proceedings of the ACM SIGKDD Workshop on Human Computation
Knowledge Discovery and Data Mining, 2009 View Details |
2009 | 24 | 72.9% |
|
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning
KDD Workshop, 1994 View Details |
1994 | 25 | 72.7% |
|
Goal-Directed Inductive Learning: Trading off Accuracy for Reduced Error Cost
1994 View Details |
1994 | 25 | 72.7% |
|
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
International Conference on Evolutionary Computation, 2007 View Details |
2007 | 26 | 72.6% |
|
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
Knowledge Discovery and Data Mining, 1997 View Details |
1997 | 27 | 72.1% |
|
Scaling Up Inductive Learning with Massive Parallelism
Machine-mediated learning, 1996 View Details |
1996 | 26 | 72.1% |
|
Acora: Distribution-Based Aggregation for Relational Learning from Identifier Attributes
2005 View Details |
2005 | 26 | 71.4% |
|
Learning and Inference in Massive Social Networks
Mining and Learning with Graphs, 2007 View Details |
2007 | 24 | 71.1% |
|
Explaining Classification Models Built on High-Dimensional Sparse Data
arXiv.org, 2016 View Details |
2016 | 16 | 69.9% |
|
Analysis and Visualization of Classifier Performance with Nonuniform Class and Cost Distributions
1997 View Details |
1997 | 23 | 68.9% |
|
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
Data mining and knowledge discovery, 2019 View Details |
2019 | 14 | 68.9% |
|
Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias
AAAI Conference on Artificial Intelligence, 1993 View Details |
1993 | 20 | 68.6% |
|
Pointwise ROC Confidence Bounds: An Empirical Evaluation
2005 View Details |
2005 | 21 | 67.3% |
|
Combining Data Mining and Machine Learning for Effective Fraud Detection
1997 View Details |
1997 | 21 | 67.1% |
|
Social Network Collaborative Filtering: Preliminary Results
2007 View Details |
2007 | 18 | 65.6% |
|
Proceedings of the First Workshop on Social Media Analytics
Knowledge Discovery and Data Mining, 2010 View Details |
2010 | 15 | 64.8% |
|
Deep Learning on Big, Sparse, Behavioral Data
Big Data, 2019 View Details |
2019 | 11 | 63.3% |
|
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001
Knowledge Discovery and Data Mining, 2001 View Details |
2001 | 17 | 61.5% |
|
Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance
2010 View Details |
2010 | 12 | 60.5% |
|
NetKit-SRL: A Toolkit for Network Learning and Inference
2005 View Details |
2005 | 14 | 59.5% |
|
Node classification over bipartite graphs through projection
Machine-mediated learning, 2020 View Details |
2020 | 9 | 59.4% |
|
Counterfactual Explanations for Data-Driven Decisions
International Conference on Interaction Sciences, 2019 View Details |
2019 | 9 | 58.8% |
|
A Distributed Algorithm for Embedding Trees in Hypercubes with Modifications for Run-Time Fault Tolerance
J. Parallel Distributed Comput., 1992 View Details |
1992 | 12 | 58.2% |
|
Relational Learning Problems and Simple Models
2003 View Details |
2003 | 14 | 58.1% |
|
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science
Big Data, 2018 View Details |
2018 | 9 | 58.1% |
|
Wallenius Bayes
Machine-mediated learning, 2018 View Details |
2018 | 8 | 55.5% |
|
Geo-Social Targeting for Privacy-Friendly Mobile Advertising: Position Paper
2011 View Details |
2011 | 9 | 55.0% |
|
Toward economic machine learning and utility-based data mining
UBDM '05, 2005 View Details |
2005 | 11 | 54.9% |
|
Special Issue on Applications of data mining to electronic commerce
2001 View Details |
2001 | 12 | 54.6% |
|
Naive Algorithmic Collusion: When Do Bandit Learners Cooperate and When Do They Compete?
International Conference on Interaction Sciences, 2024 View Details |
2024 | 3 | 54.5% |
|
Scalable supervised dimensionality reduction using clustering
Knowledge Discovery and Data Mining, 2013 View Details |
2013 | 8 | 53.9% |
|
Explaining Documents' Classifications
2011 View Details |
2011 | 8 | 52.7% |
|
Inductive Strengthening: the Effects of a Simple Heuristic for Restricting Hypothesis Space Search
Analogical and Inductive Inference, 1992 View Details |
1992 | 9 | 52.0% |
|
Information Triage using Prospective Criteria
2001 View Details |
2001 | 10 | 51.0% |
|
Simple Models and Classification in Networked Data
2004 View Details |
2004 | 9 | 50.3% |
|
Telecommunications Network Diagnosis
2008 View Details |
2008 | 7 | 48.7% |
|
Matrix-Factorization-Based Dimensionality Reduction in the Predictive Modeling Process: A Design Science Perspective
2016 View Details |
2016 | 5 | 45.6% |
|
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads
Workshop on Location-based Social Networks, 2013 View Details |
2013 | 5 | 44.8% |
|
What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs
User Modeling, Adaptation, and Personalization, 2025 View Details |
2025 | 1 | 44.5% |
|
Tree Induction vs Logistic Regression A Learning Curve Analysis
2001 View Details |
2001 | 7 | 44.3% |
|
Selective Data Acquisition for Machine Learning Saar-Tsechansky
2011 View Details |
2011 | 5 | 43.8% |
|
Scaling up inductive learning with massive parallelism
Machine-mediated learning, 2004 View Details |
2004 | 6 | 42.6% |
|
Dimensionality Reduction via Matrix Factorization for Predictive Modeling from Large, Sparse Behavioral Data
2015 View Details |
2015 | 4 | 40.7% |
|
Viral Marketing: Identifying Likely Adopters Via Consumer Networks
2005 View Details |
2005 | 5 | 40.3% |
|
Active Inference and Learning for Classifying Streams
2010 View Details |
2010 | 4 | 39.9% |
|
Inductive Policy: The Pragmatics of Bias Selection
Machine-mediated learning, 2004 View Details |
2004 | 5 | 39.3% |
|
Predicting citation rates for physics papers: constructing features for an ordered probit model
SKDD, 2003 View Details |
2003 | 5 | 38.9% |
|
Tree Induction vs. Logistic Regression for Learning Rankings based on Likelihood of Class Membership
2002 View Details |
2002 | 5 | 38.5% |
|
Problem Definition, Data Cleaning, and Evaluation: A Classifier Learning Case Study
Informatica, 1999 View Details |
1999 | 5 | 37.7% |
|
A real-time expert system for trigger-logic monitoring
1990 View Details |
1990 | 4 | 37.3% |
|
Columbus: An Annotated Guide to the Scholarship on His Life and Writings, 1750 to 1988
1991 View Details |
1991 | 4 | 36.3% |
|
ClimBS: searching the bias space
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92, 1992 View Details |
1992 | 4 | 35.7% |
|
Measuring overlap of data bases in water supply and sanitation using sampling and the binomial probability distribution
Scientometrics, 1992 View Details |
1992 | 4 | 35.7% |
|
An exploratory study towards applying and demystifying deep learning classification on behavioral big data
2018 View Details |
2018 | 3 | 35.5% |
|
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth
International Workshop on Data Mining for Online Advertising, 2014 View Details |
2014 | 3 | 35.5% |
|
Finding Mobile Consumers with a Privacy-Friendly Geo-Similarity Network *
2015 View Details |
2015 | 3 | 35.4% |
|
Combining Observational and Experimental Data to Improve Large-Scale Decision-Making
International Conference on Interaction Sciences, 2020 View Details |
2020 | 3 | 35.0% |
|
Active Learning for Decision Making
2004 View Details |
2004 | 3 | 30.6% |
|
Appears in User Modeling 2001 Workshop: Machine Learning, Information Retrieval and User Modeling Information Triage using Prospective Criteria
2001 View Details |
2001 | 3 | 29.7% |
|
Who's Watching TV?
Information systems research, 2016 View Details |
2016 | 2 | 28.8% |
|
Wallenius Naive Bayes
2013 View Details |
2013 | 2 | 28.5% |
|
Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation
arXiv.org, 2020 View Details |
2020 | 2 | 27.6% |
|
Data Science for the Real Estate Industry
Knowledge Discovery and Data Mining, 2020 View Details |
2020 | 2 | 27.6% |
|
Toward optimal allocation of human resources for active learning withapplication to safe advertising
2009 View Details |
2009 | 2 | 27.2% |
|
Causal Post-Processing of Predictive Models
2024 View Details |
2024 | 1 | 27.0% |
|
Modeling complex networks for electronic commerce
ACM Conference on Economics and Computation, 2007 View Details |
2007 | 2 | 26.2% |
|
Roc Confidence Bands: An Empirical Study
2005 View Details |
2005 | 2 | 25.3% |
|
Aggregation for Predictive Modeling with Relational Data
2005 View Details |
2005 | 2 | 25.3% |
|
BINARY TREES AND RINGS IN HYPERCUBES
1989 View Details |
1989 | 2 | 25.1% |
|
On Shakespeare's Sonnet 116
1956 View Details |
1956 | 1 | 22.1% |
|
The Impact of Cloaking Digital Footprints on User Privacy and Personalization
Big Data, 2023 View Details |
2023 | 1 | 21.3% |
|
Annotated Bibliography of Edmund Spenser, 1937-1960
1964 View Details |
1964 | 1 | 19.5% |
|
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
Journal of machine learning research, 2022 View Details |
2022 | 1 | 18.3% |
|
A Data Scientist's Guide to Start-Ups
Big Data, 2014 View Details |
2014 | 1 | 18.3% |
|
Ethics and interventions: A commentary on how to “improve” prediction using behavior modification
International Journal of Forecasting, 2022 View Details |
2022 | 1 | 18.3% |
|
Data-Driven Investment Strategies for Peer-to-Peer Lending
2018 View Details |
2018 | 1 | 18.0% |
|
Societal Impact of Data Science and Artificial Intelligence
Knowledge Discovery and Data Mining, 2018 View Details |
2018 | 1 | 18.0% |
|
What Managers Need to Know About Big Data
2017 View Details |
2017 | 1 | 17.9% |
|
Node classification over bipartite graphs through projection
Machine-mediated learning, 2020 View Details |
2020 | 1 | 17.2% |
|
In memory of Tom Fawcett
Machine-mediated learning, 2020 View Details |
2020 | 1 | 17.2% |
|
E ciently Constructing Relational Features from Background Knowledge for Inductive Machine Learning Also appears in Proceedings AAAI-94 Workshop on Knowledge Discovery in Databases
2007 View Details |
2007 | 1 | 16.8% |
|
The Gift of Gab: Evidence TelE-Commerce Firms Can Profit from Viral Marketing
2005 View Details |
2005 | 1 | 16.1% |
|
Probability estimation in multi-relational domains
2005 View Details |
2005 | 1 | 16.1% |
|
Distributed Fault Tolerant Embeddings of Binary Trees in Hypercubes.
1988 View Details |
1988 | 1 | 15.7% |
|
Knowledge Discovery Using Concept-Class Taxonomies
Australian Conference on Artificial Intelligence, 2004 View Details |
2004 | 1 | 15.5% |
|
Discovering Interesting Patterns for Investment Decision Making with GLOWER-A Genetic Learner Overla
1996 View Details |
1996 | 1 | 14.6% |