Michael Hind - Concepedia

Author

Michael Hind

IBM (United States)

Also Known As

Ghosh, Soumya, Hind, Michael, M Hind, M. Hind, Michael Hind

112

Publications

6.5K

Citations

H-Index

123

Concepts

All Affiliations

IBM (United States)IBM Research - Thomas J. Watson Research Center Rutgers, The State University of New Jersey University of Colorado System Rutgers Sexual and Reproductive Health and Rights

About

Michael Hind is an author at IBM (United States) specializing in engineering, computer science, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	44	4.3K
2	Language Studies	3	3	557
3	Business	2	2	97
4	Education	1	1	16
5	Humanities	1	1	29

Michael Hind

Publications

6.1K

Citations

H-Index

Page 1

	Year	Citations
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias Rachel Bellamy, Kuntal Dey, Michael Hind, IBM Journal of Research and Development Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningVerification	2019	746
Pointer analysis Michael Hind	2001	580
The Jalapeño virtual machine Bowen Alpern, C. R. Attanasio, John Barton, IBM Systems Journal	2000	576
Adaptive optimization in the Jalapeno JVM Matthew Arnold, Stephen J. Fink, David Grove, ACM SIGPLAN Notices Cluster ComputingEngineeringStatistical Edge SamplingComputer ArchitectureOperations Research	2011	329
The Jalapeño dynamic optimizing compiler for Java Michael Burke, Jong-Deok Choi, Stephen J. Fink, EngineeringCompiler TechnologyComputer ArchitectureSoftware EngineeringSoftware Analysis	1999	273
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel Bellamy, Kuntal Dey, Michael Hind, arXiv (Cornell University) Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningVerification	2018	265
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, arXiv (Cornell University) Artificial IntelligenceEngineeringFit AllMachine Learning AlgorithmsMachine Learning Tool	2019	263
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias Rachel Bellamy, Kuntal Dey, Michael Hind, arXiv (Cornell University)	2018	259
The Jikes Research Virtual Machine project: Building an open-source research community Bowen Alpern, Steven Seger Augart, Stephen M. Blackburn, IBM Systems Journal Software MaintenanceResearch CommunityEngineeringSoftware EngineeringSoftware Analysis	2005	257
Adaptive optimization in the Jalapeño JVM Matthew Arnold, Stephen J. Fink, David Grove,	2000	257

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