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Michael Hind
Michael Hind
IBM Research
Verified email at us.ibm.com
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Year
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019
16492019
Pointer analysis: Haven't we solved this problem yet?
M Hind
Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for …, 2001
8622001
The Jalapeno virtual machine
B Alpern, CR Attanasio, JJ Barton, MG Burke, P Cheng, JD Choi, ...
IBM Systems Journal 39 (1), 211-238, 2000
8142000
Adaptive optimization in the Jalapeno JVM
M Arnold, S Fink, D Grove, M Hind, PF Sweeney
Proceedings of the 15th ACM SIGPLAN conference on Object-oriented …, 2000
6412000
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
4992019
FactSheets: Increasing trust in AI services through supplier's declarations of conformity
M Arnold, RKE Bellamy, M Hind, S Houde, S Mehta, A Mojsilović, R Nair, ...
IBM Journal of Research and Development 63 (4/5), 6: 1-6: 13, 2019
4932019
The Jalapeno dynamic optimizing compiler for Java
MG Burke, JD Choi, S Fink, D Grove, M Hind, V Sarkar, MJ Serrano, ...
Proceedings of the ACM 1999 conference on Java Grande, 129-141, 1999
4281999
The Jikes Research Virtual Machine project: Building an open-source research community
B Alpern, S Augart, SM Blackburn, M Butrico, A Cocchi, P Cheng, J Dolby, ...
IBM Systems Journal 44 (2), 399-417, 2005
3502005
Interprocedural pointer alias analysis
M Hind, M Burke, P Carini, JD Choi
ACM Transactions on Programming Languages and Systems (TOPLAS) 21 (4), 848-894, 1999
2981999
A survey of adaptive optimization in virtual machines
M Arnold, SJ Fink, D Grove, M Hind, PF Sweeney
Proceedings of the IEEE 93 (2), 449-466, 2005
2792005
Which pointer analysis should I use?
M Hind, A Pioli
Proceedings of the 2000 ACM SIGSOFT international symposium on Software …, 2000
2712000
Online feedback-directed optimization of Java
M Arnold, M Hind, BG Ryder
ACM SIGPLAN Notices 37 (11), 111-129, 2002
1852002
Method for characterizing program execution by periodic call stack inspection
MR Arnold, SJ Fink, DP Grove, MJ Hind, PF Sweeney, J Whaley
US Patent 6,857,120, 2005
1812005
Vertical profiling: understanding the behavior of object-priented applications
M Hauswirth, PF Sweeney, A Diwan, M Hind
Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004
1772004
Efficient and precise modeling of exceptions for the analysis of Java programs
JD Choi, D Grove, M Hind, V Sarkar
ACM SIGSOFT Software Engineering Notes 24 (5), 21-31, 1999
1731999
TED: Teaching AI to explain its decisions
M Hind, D Wei, M Campbell, NCF Codella, A Dhurandhar, A Mojsilović, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2019
1672019
Flow-insensitive interprocedural alias analysis in the presence of pointers
M Burke, P Carini, JD Choi, M Hind
Languages and Compilers for Parallel Computing: 7th International Workshop …, 1995
1661995
Using Hardware Performance Monitors to Understand the Behavior of Java Applications.
PF Sweeney, M Hauswirth, B Cahoon, P Cheng, A Diwan, D Grove, ...
Virtual Machine Research and Technology Symposium, 57-72, 2004
1262004
Assessing the effects of flow-sensitivity on pointer alias analyses
M Hind, A Pioli
International Static Analysis Symposium, 57-81, 1998
1151998
Ai explainability 360 toolkit
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
1132021
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