Rayid Ghani

Q: What Schools Are Affiliated With Rayid Ghani

Rayid Ghani is affiliated with the following schools: University of Chicago, Stanford University, Carnegie Mellon University

Rayid Ghani's AcademicInfluence.com Rankings

Rayid Ghani

Computer Science

#1418

World Rank

#1467

Historical Rank

#702

USA Rank

Data Science

#44

World Rank

#44

Historical Rank

USA Rank

Data Mining

#48

World Rank

#48

Historical Rank

#12

USA Rank

Machine Learning

#285

World Rank

#289

Historical Rank

#56

USA Rank

computer-science Degrees

Download Badge

Computer Science

Rayid Ghani's Degrees

PhD Machine Learning Carnegie Mellon University
Masters Computer Science Stanford University

Similar Degrees You Can Earn

Best Online Master's in Computer Science

Why Is Rayid Ghani Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Previously, he was the director of the Center for Data Science and Public Policy, research associate professor in the department of computer science, and a senior fellow at the Harris School of Public Policy at the University of Chicago. He was also the co-founder of Edgeflip, an analytics startup that grew out of the Obama 2012 Campaign, focused on social media products for non-profits, advocacy groups, and charities. Recently, it was announced that he will be leaving the University of Chicago and joining Carnegie Mellon University's School of Computer Science and Heinz College of Information Systems and Public Policy.

(See a Problem?)

Rayid Ghani's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Analyzing the effectiveness and applicability of co-training (2000) (1126)
A Study of Approaches to Hypertext Categorization (2002) (362)
Text mining for product attribute extraction (2006) (233)
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness (2020) (192)
Aequitas: A Bias and Fairness Audit Toolkit (2018) (177)
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes (2015) (133)
Combining Labeled and Unlabeled Data for MultiClass Text Categorization (2002) (130)
Using Error-Correcting Codes for Text Classification (2000) (109)
Big Data and Social Science: A Practical Guide to Methods and Tools (2016) (89)
Hypertext Categorization using Hyperlink Patterns and Meta Data (2001) (87)
Mining the web to create minority language corpora (2001) (76)
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions (2007) (76)
Building Recommender Systems using a Knowledge Base of Product Semantics (2002) (75)
Data Mining on Symbolic Knowledge Extracted from the Web (2000) (75)
Combining labeled and unlabeled data for text classification with a large number of categories (2001) (71)
Understanding the Behavior of Co-training (2000) (66)
Data mining to predict and prevent errors in health insurance claims processing (2010) (64)
Predicting the End-Price of Online Auctions (2004) (55)
Building Minority Language Corpora by Learning to Generate Web Search Queries (2003) (54)
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (2014) (51)
Price prediction and insurance for online auctions (2005) (50)
Predicting customer shopping lists from point-of-sale purchase data (2004) (46)
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records (2015) (42)
Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning (2015) (40)
Identifying Police Officers at Risk of Adverse Events (2016) (37)
Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy (2020) (33)
Testing software in age of data privacy: a balancing act (2011) (32)
A Machine Learning Based System for Semi-Automatically Redacting Documents (2011) (32)
Building intelligent shopping assistants using individual consumer models (2005) (31)
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (2013) (30)
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks (2018) (29)
Interactive learning for efficiently detecting errors in insurance claims (2011) (29)
Using text mining to infer semantic attributes for retail data mining (2002) (29)
Early Intervention Systems: Predicting Adverse Interactions Between Police and the Public (2018) (29)
Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois. (2017) (26)
Artificial Intelligence for Social Good (2019) (26)
Automatically Building a Corpus for a Minority Language from the Web (2000) (25)
Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions (2020) (24)
Online Active Learning with Imbalanced Classes (2013) (20)
Using the Web to Create Minority Language Corpora (2001) (20)
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness (2018) (20)
The Legislative Influence Detector: Finding Text Reuse in State Legislation (2016) (19)
Using machine learning to help vulnerable tenants in New York city (2019) (18)
Predictive Analytics for Retention in Care in an Urban HIV Clinic (2020) (17)
Explainable machine learning for public policy: Use cases, gaps, and research directions (2020) (17)
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial (2020) (15)
Validation of a Machine Learning Model to Predict Childhood Lead Poisoning (2020) (15)
Big Data for Social Good (2015) (14)
Deploying Machine Learning Models for Public Policy: A Framework (2018) (14)
A Comparison Of Efficacy And Assumptions Of Bootstrapping Algorithms For Training Information Extraction Systems (2002) (14)
Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system (2016) (13)
Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure (2019) (13)
Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods (2009) (13)
Reducing Incarceration through Prioritized Interventions (2018) (11)
Learning a monolingual language model from a multilingual text database (2000) (10)
Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web (2007) (10)
Automatic web search query generation to create minority language corpora (2001) (9)
Big Data and Social Science (2020) (9)
Using Error-Correcting Codes for Efficient Text Cla ssification with a Large Number of Categories (2001) (9)
Bias and Fairness (2020) (8)
Data mining for business applications: KDD-2006 workshop (2006) (8)
Multiple Sensor Indoor Surveillance: Problems and Solutions (2005) (8)
Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients (2019) (7)
Toward Optimal Ordering of Prediction Tasks (2009) (7)
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings (2021) (7)
Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction (2007) (6)
Online Learning for Web Query Generation: Finding Documents Matching a Minority Concept on the Web (2001) (6)
Change Through Data: A Data Analytics Training Program for Government Employees (2019) (6)
Multiple sensor integration for indoor surveillance (2005) (5)
Machine Learning Informed Decision-Making with Interpreted Model’s Outputs: A Field Intervention (2021) (5)
Inference control to protect sensitive information in text documents (2010) (5)
Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges (2018) (5)
Top-10 Data Mining Case Studies (2012) (5)
Data Mining for Business Applications: Introduction (2010) (4)
Automatic training data collection for semi-supervised learning of information extraction systems (2002) (4)
Mapping New Informal Settlements Using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis (2020) (4)
Data Mining for Individual Consumer Models and Personalized Retail Promotions (2007) (4)
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods (2022) (4)
A recommendation and risk classification system for connecting rough sleepers to essential outreach services (2020) (3)
Identifying Earmarks in Congressional Bills (2016) (3)
An Experience-Centered Approach to Training Effective Data Scientists (2019) (3)
Improving Government Response to Citizen Requests Online (2018) (3)
Bandit Data-driven Optimization: AI for Social Good and Beyond (2020) (3)
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data (2022) (3)
Designing Policy Recommendations to Reduce Home Abandonment in Mexico (2016) (3)
Process-centric Enterprise Workspace based on Semantic Wiki (2010) (3)
Empirical Comparison of Active Learning Strategies for Handling Temporal Drift (2015) (3)
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? (2020) (3)
Mining the Web to Add Semantics to Retail Data Mining (2003) (3)
A Bayesian Framework for Robust Reasoning from Sensor Networks (2005) (3)
Semi-Supervised Learning to Extract Attribute-Value Pairs from Product Descriptions on the Web (2006) (2)
Big Data and Social Science Research: Theory and Practical Approaches (2016) (1)
Early detection of properties at risk of blight using spatiotemporal data (2016) (1)
Using Error-Correcting Codes with Co-Training for text classification with a large number of categories (2007) (1)
Online Cost-Sensitive Learning for Efficient Interactive Classification (2010) (1)
Graphics Classification for Enterprise Knowledge Management (2010) (1)
Predictive Analytics for Retention in Care in an Urban HIV Clinic (2020) (1)
Targeting and influencing at scale: from presidential elections to social good (2013) (1)
A Machine Learning System for Retaining Patients in HIV Care (2020) (1)
Taking Our Medicine: Standardizing Data Science Education With Practice at the Core (2021) (1)
Change through Data: A Public Extension Program for Government Employees (2019) (1)
Applying Machine Learning Methods to Enhance the Distribution of Social Services in Mexico (2017) (1)
I Capture and Curation (2016) (1)
A Clinical Approach to Training Effective Data Scientists (2019) (1)
Proceedings of the 2011 workshop on Data mining for medicine and healthcare (2011) (1)
Proceedings of the 2010 conference on Data Mining for Business Applications (2010) (1)
Graph Structure Learning for Task Ordering (2009) (1)
Cost-Sensitive Learning for Efficient Interactive Classification (2010) (0)
Reducing corruption in public procurement using machine learning (2020) (0)
Using Bayesian Reasoning from Sensor Network for Indoor Surveillance (2006) (0)
Role of Domain Knowledge and Sensor Quality in Robust Localization of Moving Objects (2007) (0)
Solve for Good: A Data Science for Social Good Marketplace (2019) (0)
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms (2022) (0)
SIGKDD Impact Program 2018 (2019) (0)
Machine Learning (2020) (0)
Machine Learning and Lightweight Semantics to Improve Enterprise Search and Knowledge Management (2011) (0)
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions (2022) (0)
Bandit Data-Driven Optimization∗ (2022) (0)
Value of Science: Data, Products & Use Conference Using AI and ML to Document Data Use (2021) (0)
Visualizing Meta-Explanations in Early Intervention Systems for Police Departments (2017) (0)
Book Reviews (2017) (0)
Machine Learning Informed Decision-Making: A Field Intervention in Public Employment Service (2020) (0)

This paper list is powered by the following services:

Other Resources About Rayid Ghani

What Schools Are Affiliated With Rayid Ghani?

Rayid Ghani is affiliated with the following schools:

Rayid Ghani's Academic­Influence.com Rankings

Rayid Ghani's Degrees

Similar Degrees You Can Earn

Why Is Rayid Ghani Influential?

Rayid Ghani's Published Works

Published Works

Other Resources About Rayid Ghani

What Schools Are Affiliated With Rayid Ghani?

Rayid Ghani's AcademicInfluence.com Rankings