Learning a Monolingual Language Model from a Multilingual Text Database. - Rayid Ghani; Rosie Jones (CIKM, 2000)

Analyzing the Effectiveness and Applicability of Co-training. - Kamal Nigam; Rayid Ghani (CIKM, 2000)

Using Error-Correcting Codes for Text Classification. - Rayid Ghani (ICML, 2000)

Mining the Web to Create Minority Language Corpora. - Rayid Ghani; Rosie Jones; Dunja Mladenic (CIKM, 2001)

Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories. - Rayid Ghani (ICDM, 2001)

Hypertext Categorization using Hyperlink Patterns and Meta Data. - Rayid Ghani; Seán Slattery; Yiming Yang (ICML, 2001)

Automatic Web Search Query Generation to Create Minority Language Corpora. - Rayid Ghani; Rosie Jones; Dunja Mladenic (SIGIR, 2001)

Online Learning for Web Query Generation: Finding Documents Matching a Minority Concept on the Web. - Rayid Ghani; Rosie Jones; Dunja Mladenic (Web Intelligence, 2001)

Using Text Mining to Infer Semantic Attributes for Retail Data Mining. - Rayid Ghani; Andrew E. Fano (ICDM, 2002)

Combining Labeled and Unlabeled Data for MultiClass Text Categorization. - Rayid Ghani (ICML, 2002)

A Study of Approaches to Hypertext Categorization. - Yiming Yang; Seán Slattery; Rayid Ghani (J. Intell. Inf. Syst., 2002)

Mining the Web to Add Semantics to Retail Data Mining. - Rayid Ghani (EWMF, 2003)

Predicting customer shopping lists from point-of-sale purchase data. - Chad M. Cumby; Andrew E. Fano; Rayid Ghani; Marko Krema (KDD, 2004)

A Bayesian Framework for Robust Reasoning from Sensor Networks. - Valery A. Petrushin; Rayid Ghani; Anatole Gershman (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

Building intelligent shopping assistants using individual consumer models. - Chad M. Cumby; Andrew E. Fano; Rayid Ghani; Marko Krema (IUI, 2005)

Price prediction and insurance for online auctions. - Rayid Ghani (KDD, 2005)

Multiple sensor integration for indoor surveillance. - Valery A. Petrushin; Gang Wei; Rayid Ghani; Anatole Gershman (MDM@KDD, 2005)

Building Minority Language Corpora by Learning to Generate Web Search Queries. - Rayid Ghani; Rosie Jones; Dunja Mladenic (Knowl. Inf. Syst., 2005)

Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web. - Katharina Probst; Rayid Ghani; Marko Krema; Andy Fano; Yan Liu 002 (WebMine, 2006)

Text mining for product attribute extraction. - Rayid Ghani; Katharina Probst; Yan Liu 002; Marko Krema; Andrew E. Fano (SIGKDD Explor., 2006)

Data mining for business applications: KDD-2006 workshop. - Rayid Ghani; Carlos Soares (SIGKDD Explor., 2006)

Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction. - Katharina Probst; Rayid Ghani (ECML, 2007)

Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. - Katharina Probst; Rayid Ghani; Marko Krema; Andrew E. Fano; Yan Liu 002 (IJCAI, 2007)

Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods. - Yaron Rachlin; Katharina Probst; Rayid Ghani (PinKDD, 2008)

Graph Structure Learning for Task Ordering. - Yiming Yang; Abhimanyu Lad; Henry Shu; Bryan Kisiel; Chad M. Cumby; Rayid Ghani; Katharina Probst (ICEIS (2), 2009)

Toward Optimal Ordering of Prediction Tasks. - Abhimanyu Lad; Yiming Yang; Rayid Ghani; Bryan Kisiel (SDM, 2009)

Process-centric Enterprise Workspace based on Semantic Wiki. - Divna Djordjevic; Rayid Ghani; Duncan Fullarton (KMIS, 2010)

Graphics Classification for Enterprise Knowledge Management. - Divna Djordjevic; Rayid Ghani (ICDM Workshops, 2010)

Data mining to predict and prevent errors in health insurance claims processing. - Mohit Kumar; Rayid Ghani; Zhu-Song Mei (KDD, 2010)

Data Mining for Business Applications: Introduction. - Carlos Soares; Rayid Ghani (Data Mining for Business Applications, 2010)

Machine Learning and Lightweight Semantics to Improve Enterprise Search and Knowledge Management. - Rayid Ghani; Divna Djordjevic; Chad M. Cumby (Context and Semantics for Knowledge Management, 2011)

A Machine Learning Based System for Semi-Automatically Redacting Documents. - Chad M. Cumby; Rayid Ghani (IAAI, 2011)

Interactive learning for efficiently detecting errors in insurance claims. - Rayid Ghani; Mohit Kumar (KDD, 2011)

Testing software in age of data privacy: a balancing act. - Kunal Taneja; Mark Grechanik; Rayid Ghani; Tao Xie 001 (SIGSOFT FSE, 2011)

Top-10 Data Mining Case Studies. - Gabor Melli; Xindong Wu 001; Paul Beinat; Francesco Bonchi; Longbing Cao; Rong Duan; Christos Faloutsos; Rayid Ghani; Brendan Kitts; Bart Goethals; Geoffrey J. McLachlan; Jian Pei 001; et al. (Int. J. Inf. Technol. Decis. Mak., 2012)

Online Active Learning with Imbalanced Classes. - Zahra Ferdowsi; Rayid Ghani; Raffaella Settimi (ICDM, 2013)

Targeting and influencing at scale: from presidential elections to social good. - Rayid Ghani (KDD, 2013)

A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes. - Himabindu Lakkaraju; Everaldo Aguiar; Carl Shan; David Miller; Nasir Bhanpuri; Rayid Ghani; Kecia L. Addison (KDD, 2015)

Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. - Eric Potash; Joe Brew; Alexander Loewi; Subhabrata Majumdar; Andrew Reece; Joe Walsh; Eric Rozier; Emile Jorgenson; Raed Mansour; Rayid Ghani (KDD, 2015)

Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records. - Sriram Somanchi; Samrachana Adhikari; Allen Lin; Elena Eneva; Rayid Ghani (KDD, 2015)

Big Data for Social Good. - Charlie Catlett; Rayid Ghani (Big Data, 2015)

Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system. - Emily Grace; Ankit Rai; Elissa M. Redmiles; Rayid Ghani (IEEE BigData, 2016)

Designing Policy Recommendations to Reduce Home Abandonment in Mexico. - Klaus Ackermann; Eduardo Blancas Reyes; Sue He; Thomas Anderson Keller; Paul van der Boor; Romana Khan; Rayid Ghani; José Carlos González (KDD, 2016)

The Legislative Influence Detector: Finding Text Reuse in State Legislation. - Matthew Burgess; Eugenia Giraudy; Julian Katz-Samuels; Joe Walsh; Derek Willis; Lauren Haynes; Rayid Ghani (KDD, 2016)

Identifying Police Officers at Risk of Adverse Events. - Samuel Carton; Jennifer Helsby; Kenneth Joseph; Ayesha Mahmud; Youngsoo Park; Joe Walsh; Crystal Cody; C. P. T. Estella Patterson; Lauren Haynes; Rayid Ghani (KDD, 2016)

Identifying Earmarks in Congressional Bills. - Ellery Wulczyn; Madian Khabsa; Vrushank Vora; Matthew Heston; Joe Walsh; Christopher Berry; Rayid Ghani (KDD, 2016)

Reducing Incarceration through Prioritized Interventions. - Matthew J. Bauman; Kate S. Boxer; Tzu-Yun Lin; Erika Salomon; Hareem Naveed; Lauren Haynes; Joe Walsh; Jennifer Helsby; Steve Yoder; Robert Sullivan; Chris Schneweis; Rayid Ghani (COMPASS, 2018)

Improving Government Response to Citizen Requests Online. - Garren Gaut; Andrea Navarrete; Laila Wahedi; Paul van der Boor; Adolfo De Unánue; Jorge Díaz; Eduardo Clark; Rayid Ghani (COMPASS, 2018)

Deploying Machine Learning Models for Public Policy: A Framework. - Klaus Ackermann; Joe Walsh; Adolfo De Unánue; Hareem Naveed; Andrea Navarrete Rivera; Sun-Joo Lee; Jason Bennett; Michael Defoe; Crystal Cody; Lauren Haynes; Rayid Ghani (KDD, 2018)

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks. - Avishek Kumar; Syed Ali Asad Rizvi; Benjamin Brooks; R. Ali Vanderveld; Kevin H. Wilson; Chad Kenney; Sam Edelstein; Adria Finch; Andrew Maxwell; Joe Zuckerbraun; Rayid Ghani (KDD, 2018)

Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges. - Rayid Ghani (SIGIR, 2018)

Aequitas: A Bias and Fairness Audit Toolkit. - Pedro Saleiro; Benedict Kuester; Abby Stevens; Ari Anisfeld; Loren Hinkson; Jesse London; Rayid Ghani (CoRR, 2018)

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. - Sebastian J. Vollmer; Bilal A. Mateen; Gergo Bohner; Franz J. Király; Rayid Ghani; Pall Jonsson; Sarah Cumbers; Adrian Jonas; Katherine S. L. McAllister; Puja Myles; David Granger; Mark Birse; et al. (CoRR, 2018)

Using machine learning to help vulnerable tenants in New York city. - Teng Ye; Rebecca Ann Johnson; Samantha Fu; Jerica Copeny; Bridgit Donnelly; Alex Freeman; Mirian Lima; Joe Walsh; Rayid Ghani (COMPASS, 2019)

Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients. - Satish M. Mahajan; Rayid Ghani (MedInfo, 2019)

Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure. - Satish M. Mahajan; Rayid Ghani (MedInfo, 2019)

An Experience-Centered Approach to Training Effective Data Scientists. - Kit T. Rodolfa; Adolfo De Unánue; Matt Gee; Rayid Ghani (Big Data, 2019)

Artificial Intelligence for Social Good. - Gregory D. Hager; Ann W. Drobnis; Fei Fang 001; Rayid Ghani; Amy Greenwald; Terah Lyons; David C. Parkes; Jason Schultz; Suchi Saria; Stephen F. Smith; Milind Tambe (CoRR, 2019)

A Clinical Approach to Training Effective Data Scientists. - Kit T. Rodolfa; Adolfo De Unánue; Matt Gee; Rayid Ghani (CoRR, 2019)

Solve for Good: A Data Science for Social Good Marketplace. - Rayid Ghani; Lisa Green; Alberto Bengoa; Mohak Shah (SIGKDD Explor., 2019)

SIGKDD Impact Program 2018. - Rok Sosic; Rayid Ghani; Jure Leskovec (SIGKDD Explor., 2019)

Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions. - Kit T. Rodolfa; Erika Salomon; Lauren Haynes; Iván Higuera Mendieta; Jamie Larson; Rayid Ghani (FAT*, 2020)

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. - Pedro Saleiro; Kit T. Rodolfa; Rayid Ghani (KDD, 2020)

A Machine Learning System for Retaining Patients in HIV Care. - Avishek Kumar; Arthi Ramachandran; Adolfo De Unánue; Christina Sung; Joe Walsh; John A. Schneider; Jessica Ridgway; Stephanie Masiello Schuette; Jeff Lauritsen; Rayid Ghani (CoRR, 2020)

Bandit Data-driven Optimization: AI for Social Good and Beyond. - Zheyuan Ryan Shi; Zhiwei Steven Wu; Rayid Ghani; Fei Fang 001 (CoRR, 2020)

Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis. - Isabelle Tingzon; Niccolo Dejito; Ren Avell Flores; Rodolfo De Guzman; Liliana Carvajal; Katerine Zapata Erazo; Ivan Enrique Contreras Cala; Jeffrey Villaveces; Daniela Rubio; Rayid Ghani (CoRR, 2020)

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. - Kasun Amarasinghe; Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (CoRR, 2020)

Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? - Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (CoRR, 2020)

Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. - Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (Nat. Mach. Intell., 2021)

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. - Hemank Lamba; Kit T. Rodolfa; Rayid Ghani (SIGKDD Explor., 2021)

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. - Zheyuan Ryan Shi; Zhiwei Steven Wu; Rayid Ghani; Fei Fang 001 (AAAI, 2022)

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. - Oscar Giles; Kasra Hosseini; Grigorios Mingas; Oliver Strickson; Louise Bowler; Camila Rangel Smith; Harrison Wilde; Jen Ning Lim; Bilal A. Mateen; Kasun Amarasinghe; Rayid Ghani; Alison J. Heppenstall; et al. (CoRR, 2022)

A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions. - Ka Ho Brian Chor; Kit T. Rodolfa; Rayid Ghani (CoRR, 2022)

Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. - Inês Oliveira e Silva; Carlos Soares; Inês Sousa; Rayid Ghani (AI (2), 2023)

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. - Emily Black; Rakshit Naidu; Rayid Ghani; Kit T. Rodolfa; Daniel E. Ho; Hoda Heidari (EAAMO, 2023)

Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. - Rayid Ghani; Kit T. Rodolfa; Pedro Saleiro; Sérgio M. Jesus (KDD, 2023)

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. - Kasun Amarasinghe; Kit T. Rodolfa; Sérgio M. Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani (AAAI, 2024)

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. - Catalina Vajiac; Arun Frey; Joachim Baumann 002; Abigail Smith; Kasun Amarasinghe; Alice Lai; Kit T. Rodolfa; Rayid Ghani (AAAI, 2024)

Aequitas Flow: Streamlining Fair ML Experimentation. - Sérgio M. Jesus; Pedro Saleiro; Inês Oliveira e Silva; Beatriz M. Jorge; Rita P. Ribeiro; João Gama 001; Pedro Bizarro; Rayid Ghani (CoRR, 2024)

"You're in a Ferrari. I'm Waiting for the Bus": Confronting Tensions in Community-University Partnerships. - Cella Monet Sum; Jiayin Zhi; Amil N. T. Cook; Patrick James Cooper; Arturo Lozano; Tj Johnson; Jason Perez; Rayid Ghani; Michael Skirpan; Motahhare Eslami; Hong Shen 004; Sarah E. Fox (Proc. ACM Hum. Comput. Interact., 2025)

Enabling the AI Revolution in Healthcare. - Mona Singh 001; Katie A. Siek; David Danks; Rayid Ghani; Haley Grin; Brian LaMacchia; Daniel Lopresti; Tammy Toscos (CoRR, 2025)

Towards Automated Scoping of AI for Social Good Projects. - Jacob Emmerson; Rayid Ghani; Zheyuan Ryan Shi (CoRR, 2025)

Algorithms for reliable decision-making need causal reasoning. - Christoph Kern 001; Unai Fischer Abaigar; Jonas Schweisthal; Dennis Frauen; Rayid Ghani; Stefan Feuerriegel; Mihaela van der Schaar; Frauke Kreuter (Nat. Comput. Sci., 2025)