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ORCIDRayid Ghani
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- affiliation (former): University of Chicago, IL, USA
- affiliation: CMU, Pittsburgh, USA
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2020 – today
- 2024
[c54]Kasun Amarasinghe, Kit T. Rodolfa
, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. AAAI 2024: 20921-20929- [c53]Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani:
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. AAAI 2024: 22393-22400 - [i18]Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani:
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. CoRR abs/2403.12599 (2024) - [i17]Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani:
Aequitas Flow: Streamlining Fair ML Experimentation. CoRR abs/2405.05809 (2024) - 2023
- [c52]Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. AI (2) 2023: 173-184 - [c51]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO 2023: 36:1-36:11 - [c50]Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus:
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. KDD 2023: 5779-5780 - [i16]Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani:
Systematic analysis of the impact of label noise correction on ML Fairness. CoRR abs/2306.15994 (2023) - [i15]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. CoRR abs/2309.17337 (2023) - 2022
- [c49]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. AAAI 2022: 12154-12162 - [i14]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, Nik Lomax, Nick Malleson, Martin T. O'Reilly, Sebastian Vollmerteke:
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. CoRR abs/2203.01363 (2022) - [i13]Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. CoRR abs/2206.13503 (2022) - [i12]Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani:
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions. CoRR abs/2207.05855 (2022) - 2021
- [j11]Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. Nat. Mach. Intell. 3(10): 896-904 (2021) - [j10]Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. SIGKDD Explor. 23(1): 69-85 (2021) - [i11]Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. CoRR abs/2105.06442 (2021) - 2020
- [c48]Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Iván Higuera Mendieta, Jamie Larson, Rayid Ghani:
Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions. FAT* 2020: 142-153 - [c47]Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani:
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. KDD 2020: 3513-3514 - [i10]Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Iván Higuera Mendieta, Jamie Larson, Rayid Ghani:
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions. CoRR abs/2001.09233 (2020) - [i9]Avishek Kumar, Arthi Ramachandran, Adolfo De Unánue, Christina Sung, Joe Walsh, John A. Schneider, Jessica Ridgway, Stephanie Masiello Schuette, Jeff Lauritsen, Rayid Ghani:
A Machine Learning System for Retaining Patients in HIV Care. CoRR abs/2006.04944 (2020) - [i8]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-driven Optimization: AI for Social Good and Beyond. CoRR abs/2008.11707 (2020) - [i7]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:
Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis. CoRR abs/2008.13583 (2020) - [i6]Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR abs/2010.14374 (2020) - [i5]Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? CoRR abs/2012.02972 (2020)
2010 – 2019
- 2019
- [j9]Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
An Experience-Centered Approach to Training Effective Data Scientists. Big Data 7(4): 249-261 (2019) - [j8]Rok Sosic, Rayid Ghani, Jure Leskovec:
SIGKDD Impact Program 2018. SIGKDD Explor. 21(1): 36-37 (2019) - [j7]Rayid Ghani, Lisa Green, Alberto Bengoa, Mohak Shah:
Solve for Good: A Data Science for Social Good Marketplace. SIGKDD Explor. 21(2): 3-5 (2019) - [c46]Teng Ye, Rebecca Ann Johnson, Samantha Fu, Jerica Copeny, Bridgit Donnelly, Alex Freeman, Mirian Lima, Joe Walsh, Rayid Ghani:
Using machine learning to help vulnerable tenants in New York city. COMPASS 2019: 248-258 - [c45]Satish M. Mahajan, Rayid Ghani:
Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients. MedInfo 2019: 238-242 - [c44]Satish M. Mahajan, Rayid Ghani:
Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure. MedInfo 2019: 243-247 - [i4]Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe:
Artificial Intelligence for Social Good. CoRR abs/1901.05406 (2019) - [i3]Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
A Clinical Approach to Training Effective Data Scientists. CoRR abs/1905.06875 (2019) - 2018
- [c43]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:
Reducing Incarceration through Prioritized Interventions. COMPASS 2018: 6:1-6:8 - [c42]Garren Gaut, Andrea Navarrete, Laila Wahedi, Paul van der Boor, Adolfo De Unánue, Jorge Díaz, Eduardo Clark, Rayid Ghani:
Improving Government Response to Citizen Requests Online. COMPASS 2018: 13:1-13:10 - [c41]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:
Deploying Machine Learning Models for Public Policy: A Framework. KDD 2018: 15-22 - [c40]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:
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks. KDD 2018: 472-480 - [c39]Rayid Ghani:
Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges. SIGIR 2018: 3 - [e5]Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5 [contents] - [i2]Pedro Saleiro, Benedict Kuester, Abby Stevens, Ari Anisfeld, Loren Hinkson, Jesse London, Rayid Ghani:
Aequitas: A Bias and Fairness Audit Toolkit. CoRR abs/1811.05577 (2018) - [i1]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, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway:
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. CoRR abs/1812.10404 (2018) - 2016
- [c38]Emily Grace, Ankit Rai, Elissa M. Redmiles, Rayid Ghani:
Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system. IEEE BigData 2016: 1444-1453 - [c37]Klaus Ackermann, Eduardo Blancas Reyes, Sue He, Thomas Anderson Keller, Paul van der Boor, Romana Khan, Rayid Ghani, José Carlos González:
Designing Policy Recommendations to Reduce Home Abandonment in Mexico. KDD 2016: 13-20 - [c36]Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani:
The Legislative Influence Detector: Finding Text Reuse in State Legislation. KDD 2016: 57-66 - [c35]Samuel Carton, Jennifer Helsby, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Crystal Cody, C. P. T. Estella Patterson, Lauren Haynes, Rayid Ghani:
Identifying Police Officers at Risk of Adverse Events. KDD 2016: 67-76 - [c34]Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani:
Identifying Earmarks in Congressional Bills. KDD 2016: 303-311 - 2015
- [j6]Charlie Catlett, Rayid Ghani:
Big Data for Social Good. Big Data 3(1): 1-2 (2015) - [c33]Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, Kecia L. Addison:
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes. KDD 2015: 1909-1918 - [c32]Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, Rayid Ghani:
Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. KDD 2015: 2039-2047 - [c31]Sriram Somanchi, Samrachana Adhikari, Allen Lin, Elena Eneva, Rayid Ghani:
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records. KDD 2015: 2119-2126 - 2014
- [e4]Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani:
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014. ACM 2014, ISBN 978-1-4503-2956-9 [contents] - 2013
- [c30]Zahra Ferdowsi, Rayid Ghani, Raffaella Settimi:
Online Active Learning with Imbalanced Classes. ICDM 2013: 1043-1048 - [c29]Rayid Ghani:
Targeting and influencing at scale: from presidential elections to social good. KDD 2013: 1137 - [e3]Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Benjamin W. Wah, Ricardo Baeza-Yates, Geoffrey C. Fox, Cyrus Shahabi, Matthew Smith, Qiang Yang, Rayid Ghani, Wei Fan, Ronny Lempel, Raghunath Nambiar:
2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA. IEEE Computer Society 2013, ISBN 978-1-4799-1292-6 [contents] - [e2]Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy:
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013. ACM 2013, ISBN 978-1-4503-2174-7 [contents] - 2012
- [j5]Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane:
Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. 11(2): 389-400 (2012) - 2011
- [c28]Chad M. Cumby, Rayid Ghani:
A Machine Learning Based System for Semi-Automatically Redacting Documents. IAAI 2011: 1628-1635 - [c27]Rayid Ghani, Mohit Kumar:
Interactive learning for efficiently detecting errors in insurance claims. KDD 2011: 325-333 - [c26]Kunal Taneja, Mark Grechanik, Rayid Ghani, Tao Xie:
Testing software in age of data privacy: a balancing act. SIGSOFT FSE 2011: 201-211 - [p2]Rayid Ghani, Divna Djordjevic, Chad M. Cumby:
Machine Learning and Lightweight Semantics to Improve Enterprise Search and Knowledge Management. Context and Semantics for Knowledge Management 2011: 171-188 - 2010
- [c25]Divna Djordjevic, Rayid Ghani, Duncan Fullarton:
Process-centric Enterprise Workspace based on Semantic Wiki. KMIS 2010: 224-233 - [c24]Divna Djordjevic, Rayid Ghani:
Graphics Classification for Enterprise Knowledge Management. ICDM Workshops 2010: 562-569 - [c23]Mohit Kumar, Rayid Ghani, Zhu-Song Mei:
Data mining to predict and prevent errors in health insurance claims processing. KDD 2010: 65-74 - [p1]Carlos Soares, Rayid Ghani:
Data Mining for Business Applications: Introduction. Data Mining for Business Applications 2010: 1-14 - [e1]Carlos Soares, Rayid Ghani:
Data Mining for Business Applications. Frontiers in Artificial Intelligence and Applications 218, IOS Press 2010, ISBN 978-1-60750-632-4 [contents]
2000 – 2009
- 2009
- [c22]Yiming Yang, Abhimanyu Lad, Henry Shu, Bryan Kisiel, Chad M. Cumby, Rayid Ghani, Katharina Probst:
Graph Structure Learning for Task Ordering. ICEIS (2) 2009: 164-169 - [c21]Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel:
Toward Optimal Ordering of Prediction Tasks. SDM 2009: 884-893 - 2008
- [c20]Yaron Rachlin, Katharina Probst, Rayid Ghani:
Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods. PinKDD 2008: 92-110 - 2007
- [c19]Katharina Probst, Rayid Ghani:
Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction. ECML 2007: 683-690 - [c18]Katharina Probst, Rayid Ghani, Marko Krema, Andrew E. Fano, Yan Liu:
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. IJCAI 2007: 2838-2843 - 2006
- [j4]Rayid Ghani, Katharina Probst, Yan Liu, Marko Krema, Andrew E. Fano:
Text mining for product attribute extraction. SIGKDD Explor. 8(1): 41-48 (2006) - [j3]Rayid Ghani, Carlos Soares:
Data mining for business applications: KDD-2006 workshop. SIGKDD Explor. 8(2): 79-81 (2006) - [c17]Katharina Probst, Rayid Ghani, Marko Krema, Andy Fano, Yan Liu:
Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web. WebMine 2006: 41-60 - 2005
- [j2]Rayid Ghani, Rosie Jones, Dunja Mladenic:
Building Minority Language Corpora by Learning to Generate Web Search Queries. Knowl. Inf. Syst. 7(1): 56-83 (2005) - [c16]Valery A. Petrushin, Rayid Ghani, Anatole Gershman:
A Bayesian Framework for Robust Reasoning from Sensor Networks. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 141-143 - [c15]Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko Krema:
Building intelligent shopping assistants using individual consumer models. IUI 2005: 323-325 - [c14]Valery A. Petrushin, Gang Wei, Rayid Ghani, Anatole Gershman:
Multiple sensor integration for indoor surveillance. MDM@KDD 2005: 53-60 - [c13]Rayid Ghani:
Price prediction and insurance for online auctions. KDD 2005: 411-418 - 2004
- [c12]Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko Krema:
Predicting customer shopping lists from point-of-sale purchase data. KDD 2004: 402-409 - 2003
- [c11]Rayid Ghani:
Mining the Web to Add Semantics to Retail Data Mining. EWMF 2003: 43-56 - 2002
- [j1]Yiming Yang, Seán Slattery, Rayid Ghani:
A Study of Approaches to Hypertext Categorization. J. Intell. Inf. Syst. 18(2-3): 219-241 (2002) - [c10]Rayid Ghani, Andrew E. Fano:
Using Text Mining to Infer Semantic Attributes for Retail Data Mining. ICDM 2002: 195-202 - [c9]Rayid Ghani:
Combining Labeled and Unlabeled Data for MultiClass Text Categorization. ICML 2002: 187-194 - 2001
- [c8]Rayid Ghani, Rosie Jones, Dunja Mladenic:
Mining the Web to Create Minority Language Corpora. CIKM 2001: 279-286 - [c7]Rayid Ghani:
Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories. ICDM 2001: 597-598 - [c6]Rayid Ghani, Seán Slattery, Yiming Yang:
Hypertext Categorization using Hyperlink Patterns and Meta Data. ICML 2001: 178-185 - [c5]Rayid Ghani, Rosie Jones, Dunja Mladenic:
Automatic Web Search Query Generation to Create Minority Language Corpora. SIGIR 2001: 432-433 - [c4]Rayid Ghani, Rosie Jones, Dunja Mladenic:
Online Learning for Web Query Generation: Finding Documents Matching a Minority Concept on the Web. Web Intelligence 2001: 508-513 - 2000
- [c3]Kamal Nigam, Rayid Ghani:
Analyzing the Effectiveness and Applicability of Co-training. CIKM 2000: 86-93 - [c2]Rayid Ghani, Rosie Jones:
Learning a Monolingual Language Model from a Multilingual Text Database. CIKM 2000: 187-193 - [c1]Rayid Ghani:
Using Error-Correcting Codes for Text Classification. ICML 2000: 303-310
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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