Himabindu Lakkaraju - Concepedia

Author

Himabindu Lakkaraju

Harvard University Press ORCID

Also Known As

Himabindu Lakkaraju, Lakkaraju, Himabindu, Shen, Bo, Zitnik, Marinka

158

Publications

5.9K

Citations

H-Index

129

Concepts

All Affiliations

Harvard University Press Stanford University University of Chicago University of California, Irvine Harvard University

About

Himabindu Lakkaraju is an author at Harvard University Press specializing in engineering, data science, and artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	31	2.8K
2	Language Studies	6	6	418
3	Arts	4	4	370
4	Business	3	3	90
5	Education	2	2	238

Himabindu Lakkaraju

Publications

5.5K

Citations

H-Index

Page 1

	Year	Citations
Human Decisions and Machine Predictions Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, The Quarterly Journal of Economics	2017	709
Fooling LIME and SHAP Dylan Slack, Sophie Hilgard, Emily Jia, Proceedings of the AAAI/ACM Conference on AI Ethics and Society Artificial IntelligenceEngineeringMachine LearningAi SafetyInformation Forensics	2020	698
Interpretable Decision Sets Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec	2016	650
Human Decisions and Machine Predictions Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec,	2017	569
Faithful and Customizable Explanations of Black Box Models Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Artificial IntelligenceBlack Box ModelsInteractive Machine LearningMachine LearningData Science	2019	254
"How do I fool you?" Himabindu Lakkaraju, Osbert Bastani Proceedings of the AAAI/ACM Conference on AI Ethics and Society Artificial IntelligenceEngineeringMachine LearningInformation ForensicsCommunication	2020	207
Mining big data to extract patterns and predict real-life outcomes. Michał Kosiński, Yilun Wang, Himabindu Lakkaraju, Psychological Methods Social Data AnalysisLarge SamplesEngineeringEssential ToolsBig Data Analytics	2016	200
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, EngineeringHigh SchoolEducationStudent OutcomeProgram Evaluation	2015	190
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack, Sophie Hilgard, Emily Jia, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningInformation SecurityVerification	2019	169
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna, Tessa Han, Alex Gu, Artificial IntelligenceEngineeringMachine LearningModel-based ReasoningVerification	2023	142

Page 1