Rayid Ghani

Orcid: 0000-0003-0235-1843

Affiliations:
  • University of Chicago, IL, USA (former)
  • CMU, Pittsburgh, USA


According to our database1, Rayid Ghani authored at least 79 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Aequitas Flow: Streamlining Fair ML Experimentation.
CoRR, 2024

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Systematic Analysis of the Impact of Label Noise Correction on ML Fairness.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions.
CoRR, 2022

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.
CoRR, 2022

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings.
SIGKDD Explor., 2021

Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy.
Nat. Mach. Intell., 2021

2020
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
CoRR, 2020

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions.
CoRR, 2020

Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis.
CoRR, 2020

Bandit Data-driven Optimization: AI for Social Good and Beyond.
CoRR, 2020

A Machine Learning System for Retaining Patients in HIV Care.
CoRR, 2020

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
SIGKDD Impact Program 2018.
SIGKDD Explor., 2019

Solve for Good: A Data Science for Social Good Marketplace.
SIGKDD Explor., 2019

A Clinical Approach to Training Effective Data Scientists.
CoRR, 2019

Artificial Intelligence for Social Good.
CoRR, 2019

An Experience-Centered Approach to Training Effective Data Scientists.
Big Data, 2019

Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Using machine learning to help vulnerable tenants in New York city.
Proceedings of the Conference on Computing & Sustainable Societies, 2019

2018
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.
CoRR, 2018

Aequitas: A Bias and Fairness Audit Toolkit.
CoRR, 2018

Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deploying Machine Learning Models for Public Policy: A Framework.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Improving Government Response to Citizen Requests Online.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Reducing Incarceration through Prioritized Interventions.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2016
Identifying Earmarks in Congressional Bills.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Identifying Police Officers at Risk of Adverse Events.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

The Legislative Influence Detector: Finding Text Reuse in State Legislation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Designing Policy Recommendations to Reduce Home Abandonment in Mexico.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Big Data for Social Good.
Big Data, 2015

Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013
Targeting and influencing at scale: from presidential elections to social good.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Online Active Learning with Imbalanced Classes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak., 2012

2011
Testing software in age of data privacy: a balancing act.
Proceedings of the SIGSOFT/FSE'11 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-19) and ESEC'11: 13th European Software Engineering Conference (ESEC-13), 2011

Interactive learning for efficiently detecting errors in insurance claims.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Machine Learning Based System for Semi-Automatically Redacting Documents.
Proceedings of the Twenty-Third Conference on Innovative Applications of Artificial Intelligence, 2011

Machine Learning and Lightweight Semantics to Improve Enterprise Search and Knowledge Management.
Proceedings of the Context and Semantics for Knowledge Management, 2011

2010
Data Mining for Business Applications: Introduction.
Proceedings of the Data Mining for Business Applications, 2010

Data mining to predict and prevent errors in health insurance claims processing.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Graphics Classification for Enterprise Knowledge Management.
Proceedings of the ICDMW 2010, 2010

Process-centric Enterprise Workspace based on Semantic Wiki.
Proceedings of the KMIS 2010, 2010

2009
Toward Optimal Ordering of Prediction Tasks.
Proceedings of the SIAM International Conference on Data Mining, 2009

Graph Structure Learning for Task Ordering.
Proceedings of the ICEIS 2009, 2009

2008
Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods.
Proceedings of the Privacy, 2008

2007
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions.
Proceedings of the IJCAI 2007, 2007

Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Data mining for business applications: KDD-2006 workshop.
SIGKDD Explor., 2006

Text mining for product attribute extraction.
SIGKDD Explor., 2006

Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web.
Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006

2005
Building Minority Language Corpora by Learning to Generate Web Search Queries.
Knowl. Inf. Syst., 2005

Multiple sensor integration for indoor surveillance.
Proceedings of the 6th international workshop on Multimedia data mining, 2005

Price prediction and insurance for online auctions.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Building intelligent shopping assistants using individual consumer models.
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

A Bayesian Framework for Robust Reasoning from Sensor Networks.
Proceedings of the AI Technologies for Homeland Security, 2005

2004
Predicting customer shopping lists from point-of-sale purchase data.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Mining the Web to Add Semantics to Retail Data Mining.
Proceedings of the Web Mining: From Web to Semantic Web, 2003

2002
A Study of Approaches to Hypertext Categorization.
J. Intell. Inf. Syst., 2002

Combining Labeled and Unlabeled Data for MultiClass Text Categorization.
Proceedings of the Machine Learning, 2002

Using Text Mining to Infer Semantic Attributes for Retail Data Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Online Learning for Web Query Generation: Finding Documents Matching a Minority Concept on the Web.
Proceedings of the Web Intelligence: Research and Development, 2001

Automatic Web Search Query Generation to Create Minority Language Corpora.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Hypertext Categorization using Hyperlink Patterns and Meta Data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Mining the Web to Create Minority Language Corpora.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Using Error-Correcting Codes for Text Classification.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Analyzing the Effectiveness and Applicability of Co-training.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Learning a Monolingual Language Model from a Multilingual Text Database.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000


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